Compare JAX and NumPy for the resolution of the Sobieski's SSBJ problem.
Note
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Compare JAX and NumPy for the resolution of the Sobieski's SSBJ problem.
from __future__ import annotations
from gemseo import configure
from gemseo import configure_logger
from gemseo.problems.mdo.sobieski.core.design_space import SobieskiDesignSpace
from gemseo.problems.mdo.sobieski.disciplines import SobieskiAerodynamics
from gemseo.problems.mdo.sobieski.disciplines import SobieskiMission
from gemseo.problems.mdo.sobieski.disciplines import SobieskiPropulsion
from gemseo.problems.mdo.sobieski.disciplines import SobieskiStructure
from gemseo.scenarios.doe_scenario import DOEScenario
from gemseo.scenarios.mdo_scenario import MDOScenario
from gemseo_jax.problems.sobieski.chain import JAXSobieskiChain
# Deactivate some checkers to speed up calculations in presence of cheap disciplines.
configure(False, False, True, False, False, False, False)
configure_logger()
Out:
<frozen importlib._bootstrap>:488: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute
<frozen importlib._bootstrap>:488: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute
<frozen importlib._bootstrap>:488: DeprecationWarning: builtin type swigvarlink has no __module__ attribute
/builds/gemseo/dev/gemseo-jax/.tox/doc/lib64/python3.13/site-packages/pyDOE3/doe_korobov.py:53: SyntaxWarning: invalid escape sequence '\m'
$$ z_i = (a^i) \mod N $$
<RootLogger root (INFO)>
DOE¶
MDF with MDAJacobi¶
Solve the Sobieski's SSBJ problem with JAX¶
chain = JAXSobieskiChain()
doe_scenario = DOEScenario(
[chain],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
)
doe_scenario.add_constraint("g_1", "ineq")
doe_scenario.add_constraint("g_2", "ineq")
doe_scenario.add_constraint("g_3", "ineq")
doe_scenario.execute(algo_name="OT_OPT_LHS", n_samples=100)
Out:
INFO:2025-11-07 08:28:40,432:jax._src.xla_bridge:927: Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'
INFO - 08:28:40: Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'
INFO:2025-11-07 08:28:40,433:jax._src.xla_bridge:927: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: libtpu.so: cannot open shared object file: No such file or directory
INFO - 08:28:40: Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: libtpu.so: cannot open shared object file: No such file or directory
INFO - 08:28:42: Compilation of the output function JAXSobieskiChain: 0:00:00.349055 seconds.
INFO - 08:28:42: Compilation of the output function JAXSobieskiChain: 0:00:00.349055 seconds.
INFO - 08:28:42: Compilation of the Jacobian function JAXSobieskiChain: 0:00:01.201688 seconds.
INFO - 08:28:42: Compilation of the Jacobian function JAXSobieskiChain: 0:00:01.201688 seconds.
INFO - 08:28:42: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:42: *** Start DOEScenario execution ***
INFO - 08:28:42: *** Start DOEScenario execution ***
INFO - 08:28:42: DOEScenario
INFO - 08:28:42: Disciplines: JAXSobieskiChain
INFO - 08:28:42: MDO formulation: MDF
INFO - 08:28:42: DOEScenario
INFO - 08:28:42: Disciplines: JAXSobieskiChain
INFO - 08:28:42: MDO formulation: MDF
INFO - 08:28:42: Optimization problem:
INFO - 08:28:42: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:42: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:42: under the inequality constraints
INFO - 08:28:42: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:42: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:42: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:42: Optimization problem:
INFO - 08:28:42: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:42: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:42: under the inequality constraints
INFO - 08:28:42: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:42: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:42: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:42: over the design space:
INFO - 08:28:42: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:42: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:42: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:42: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:42: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:42: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:42: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:42: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:42: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:42: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:42: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:42: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:42: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:42: over the design space:
INFO - 08:28:42: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:42: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:42: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:42: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:42: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:42: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:42: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:42: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:42: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:42: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:42: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:42: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:42: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:42: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:42: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:42: 1%| | 1/100 [00:00<00:00, 162.09 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:42: 1%| | 1/100 [00:00<00:00, 162.09 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:42: 2%|▏ | 2/100 [00:00<00:00, 205.98 it/sec, feas=False, obj=-303]
INFO - 08:28:42: 2%|▏ | 2/100 [00:00<00:00, 205.98 it/sec, feas=False, obj=-303]
INFO - 08:28:42: 3%|▎ | 3/100 [00:00<00:00, 195.72 it/sec, feas=False, obj=-447]
INFO - 08:28:42: 3%|▎ | 3/100 [00:00<00:00, 195.72 it/sec, feas=False, obj=-447]
INFO - 08:28:42: 4%|▍ | 4/100 [00:00<00:00, 197.32 it/sec, feas=False, obj=-444]
INFO - 08:28:42: 4%|▍ | 4/100 [00:00<00:00, 197.32 it/sec, feas=False, obj=-444]
INFO - 08:28:42: 5%|▌ | 5/100 [00:00<00:00, 203.66 it/sec, feas=False, obj=-804]
INFO - 08:28:42: 5%|▌ | 5/100 [00:00<00:00, 203.66 it/sec, feas=False, obj=-804]
INFO - 08:28:42: 6%|▌ | 6/100 [00:00<00:00, 209.53 it/sec, feas=False, obj=-232]
INFO - 08:28:42: 6%|▌ | 6/100 [00:00<00:00, 209.53 it/sec, feas=False, obj=-232]
INFO - 08:28:42: 7%|▋ | 7/100 [00:00<00:00, 213.64 it/sec, feas=False, obj=-701]
INFO - 08:28:42: 7%|▋ | 7/100 [00:00<00:00, 213.64 it/sec, feas=False, obj=-701]
INFO - 08:28:42: 8%|▊ | 8/100 [00:00<00:00, 216.54 it/sec, feas=False, obj=-253]
INFO - 08:28:42: 8%|▊ | 8/100 [00:00<00:00, 216.54 it/sec, feas=False, obj=-253]
INFO - 08:28:42: 9%|▉ | 9/100 [00:00<00:00, 222.99 it/sec, feas=False, obj=-773]
INFO - 08:28:42: 9%|▉ | 9/100 [00:00<00:00, 222.99 it/sec, feas=False, obj=-773]
INFO - 08:28:42: 10%|█ | 10/100 [00:00<00:00, 224.98 it/sec, feas=False, obj=-448]
INFO - 08:28:42: 10%|█ | 10/100 [00:00<00:00, 224.98 it/sec, feas=False, obj=-448]
INFO - 08:28:42: 11%|█ | 11/100 [00:00<00:00, 223.74 it/sec, feas=True, obj=-659]
INFO - 08:28:42: 11%|█ | 11/100 [00:00<00:00, 223.74 it/sec, feas=True, obj=-659]
INFO - 08:28:42: 12%|█▏ | 12/100 [00:00<00:00, 225.19 it/sec, feas=False, obj=-282]
INFO - 08:28:42: 12%|█▏ | 12/100 [00:00<00:00, 225.19 it/sec, feas=False, obj=-282]
INFO - 08:28:42: 13%|█▎ | 13/100 [00:00<00:00, 226.06 it/sec, feas=False, obj=-387]
INFO - 08:28:42: 13%|█▎ | 13/100 [00:00<00:00, 226.06 it/sec, feas=False, obj=-387]
INFO - 08:28:42: 14%|█▍ | 14/100 [00:00<00:00, 229.90 it/sec, feas=False, obj=-379]
INFO - 08:28:42: 14%|█▍ | 14/100 [00:00<00:00, 229.90 it/sec, feas=False, obj=-379]
INFO - 08:28:42: 15%|█▌ | 15/100 [00:00<00:00, 228.06 it/sec, feas=False, obj=-196]
INFO - 08:28:42: 15%|█▌ | 15/100 [00:00<00:00, 228.06 it/sec, feas=False, obj=-196]
INFO - 08:28:42: 16%|█▌ | 16/100 [00:00<00:00, 226.62 it/sec, feas=False, obj=-647]
INFO - 08:28:42: 16%|█▌ | 16/100 [00:00<00:00, 226.62 it/sec, feas=False, obj=-647]
INFO - 08:28:42: 17%|█▋ | 17/100 [00:00<00:00, 223.13 it/sec, feas=False, obj=-238]
INFO - 08:28:42: 17%|█▋ | 17/100 [00:00<00:00, 223.13 it/sec, feas=False, obj=-238]
INFO - 08:28:42: 18%|█▊ | 18/100 [00:00<00:00, 224.25 it/sec, feas=False, obj=-304]
INFO - 08:28:42: 18%|█▊ | 18/100 [00:00<00:00, 224.25 it/sec, feas=False, obj=-304]
INFO - 08:28:42: 19%|█▉ | 19/100 [00:00<00:00, 223.23 it/sec, feas=False, obj=-372]
INFO - 08:28:42: 19%|█▉ | 19/100 [00:00<00:00, 223.23 it/sec, feas=False, obj=-372]
INFO - 08:28:42: 20%|██ | 20/100 [00:00<00:00, 225.94 it/sec, feas=False, obj=-699]
INFO - 08:28:42: 20%|██ | 20/100 [00:00<00:00, 225.94 it/sec, feas=False, obj=-699]
INFO - 08:28:42: 21%|██ | 21/100 [00:00<00:00, 226.24 it/sec, feas=False, obj=-873]
INFO - 08:28:42: 21%|██ | 21/100 [00:00<00:00, 226.24 it/sec, feas=False, obj=-873]
INFO - 08:28:42: 22%|██▏ | 22/100 [00:00<00:00, 226.61 it/sec, feas=False, obj=-489]
INFO - 08:28:42: 22%|██▏ | 22/100 [00:00<00:00, 226.61 it/sec, feas=False, obj=-489]
INFO - 08:28:42: 23%|██▎ | 23/100 [00:00<00:00, 225.45 it/sec, feas=False, obj=-623]
INFO - 08:28:42: 23%|██▎ | 23/100 [00:00<00:00, 225.45 it/sec, feas=False, obj=-623]
INFO - 08:28:42: 24%|██▍ | 24/100 [00:00<00:00, 227.60 it/sec, feas=False, obj=-262]
INFO - 08:28:42: 24%|██▍ | 24/100 [00:00<00:00, 227.60 it/sec, feas=False, obj=-262]
INFO - 08:28:42: 25%|██▌ | 25/100 [00:00<00:00, 229.69 it/sec, feas=False, obj=-345]
INFO - 08:28:42: 25%|██▌ | 25/100 [00:00<00:00, 229.69 it/sec, feas=False, obj=-345]
INFO - 08:28:42: 26%|██▌ | 26/100 [00:00<00:00, 228.58 it/sec, feas=False, obj=-377]
INFO - 08:28:42: 26%|██▌ | 26/100 [00:00<00:00, 228.58 it/sec, feas=False, obj=-377]
INFO - 08:28:42: 27%|██▋ | 27/100 [00:00<00:00, 228.96 it/sec, feas=False, obj=-387]
INFO - 08:28:42: 27%|██▋ | 27/100 [00:00<00:00, 228.96 it/sec, feas=False, obj=-387]
INFO - 08:28:42: 28%|██▊ | 28/100 [00:00<00:00, 226.66 it/sec, feas=False, obj=-334]
INFO - 08:28:42: 28%|██▊ | 28/100 [00:00<00:00, 226.66 it/sec, feas=False, obj=-334]
INFO - 08:28:42: 29%|██▉ | 29/100 [00:00<00:00, 228.46 it/sec, feas=False, obj=-438]
INFO - 08:28:42: 29%|██▉ | 29/100 [00:00<00:00, 228.46 it/sec, feas=False, obj=-438]
INFO - 08:28:42: 30%|███ | 30/100 [00:00<00:00, 230.20 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:42: 30%|███ | 30/100 [00:00<00:00, 230.20 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:42: 31%|███ | 31/100 [00:00<00:00, 230.54 it/sec, feas=False, obj=-733]
INFO - 08:28:42: 31%|███ | 31/100 [00:00<00:00, 230.54 it/sec, feas=False, obj=-733]
INFO - 08:28:42: 32%|███▏ | 32/100 [00:00<00:00, 230.83 it/sec, feas=False, obj=-774]
INFO - 08:28:42: 32%|███▏ | 32/100 [00:00<00:00, 230.83 it/sec, feas=False, obj=-774]
INFO - 08:28:42: 33%|███▎ | 33/100 [00:00<00:00, 229.92 it/sec, feas=False, obj=-517]
INFO - 08:28:42: 33%|███▎ | 33/100 [00:00<00:00, 229.92 it/sec, feas=False, obj=-517]
INFO - 08:28:42: 34%|███▍ | 34/100 [00:00<00:00, 231.34 it/sec, feas=False, obj=-232]
INFO - 08:28:42: 34%|███▍ | 34/100 [00:00<00:00, 231.34 it/sec, feas=False, obj=-232]
INFO - 08:28:42: 35%|███▌ | 35/100 [00:00<00:00, 230.37 it/sec, feas=False, obj=-195]
INFO - 08:28:42: 35%|███▌ | 35/100 [00:00<00:00, 230.37 it/sec, feas=False, obj=-195]
INFO - 08:28:42: 36%|███▌ | 36/100 [00:00<00:00, 230.60 it/sec, feas=False, obj=-218]
INFO - 08:28:42: 36%|███▌ | 36/100 [00:00<00:00, 230.60 it/sec, feas=False, obj=-218]
INFO - 08:28:42: 37%|███▋ | 37/100 [00:00<00:00, 229.78 it/sec, feas=False, obj=-198]
INFO - 08:28:42: 37%|███▋ | 37/100 [00:00<00:00, 229.78 it/sec, feas=False, obj=-198]
INFO - 08:28:42: 38%|███▊ | 38/100 [00:00<00:00, 224.55 it/sec, feas=False, obj=-536]
INFO - 08:28:42: 38%|███▊ | 38/100 [00:00<00:00, 224.55 it/sec, feas=False, obj=-536]
INFO - 08:28:42: 39%|███▉ | 39/100 [00:00<00:00, 222.43 it/sec, feas=False, obj=-173]
INFO - 08:28:42: 39%|███▉ | 39/100 [00:00<00:00, 222.43 it/sec, feas=False, obj=-173]
INFO - 08:28:42: 40%|████ | 40/100 [00:00<00:00, 222.56 it/sec, feas=False, obj=-388]
INFO - 08:28:42: 40%|████ | 40/100 [00:00<00:00, 222.56 it/sec, feas=False, obj=-388]
INFO - 08:28:42: 41%|████ | 41/100 [00:00<00:00, 221.88 it/sec, feas=False, obj=-723]
INFO - 08:28:42: 41%|████ | 41/100 [00:00<00:00, 221.88 it/sec, feas=False, obj=-723]
INFO - 08:28:42: 42%|████▏ | 42/100 [00:00<00:00, 221.16 it/sec, feas=False, obj=-240]
INFO - 08:28:42: 42%|████▏ | 42/100 [00:00<00:00, 221.16 it/sec, feas=False, obj=-240]
INFO - 08:28:42: 43%|████▎ | 43/100 [00:00<00:00, 221.39 it/sec, feas=False, obj=-663]
INFO - 08:28:42: 43%|████▎ | 43/100 [00:00<00:00, 221.39 it/sec, feas=False, obj=-663]
INFO - 08:28:42: 44%|████▍ | 44/100 [00:00<00:00, 220.84 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:42: 44%|████▍ | 44/100 [00:00<00:00, 220.84 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:42: 45%|████▌ | 45/100 [00:00<00:00, 221.26 it/sec, feas=False, obj=-438]
INFO - 08:28:42: 45%|████▌ | 45/100 [00:00<00:00, 221.26 it/sec, feas=False, obj=-438]
INFO - 08:28:42: 46%|████▌ | 46/100 [00:00<00:00, 220.87 it/sec, feas=False, obj=-301]
INFO - 08:28:42: 46%|████▌ | 46/100 [00:00<00:00, 220.87 it/sec, feas=False, obj=-301]
INFO - 08:28:42: 47%|████▋ | 47/100 [00:00<00:00, 221.26 it/sec, feas=False, obj=-682]
INFO - 08:28:42: 47%|████▋ | 47/100 [00:00<00:00, 221.26 it/sec, feas=False, obj=-682]
INFO - 08:28:42: 48%|████▊ | 48/100 [00:00<00:00, 220.88 it/sec, feas=False, obj=-750]
INFO - 08:28:42: 48%|████▊ | 48/100 [00:00<00:00, 220.88 it/sec, feas=False, obj=-750]
INFO - 08:28:42: 49%|████▉ | 49/100 [00:00<00:00, 221.20 it/sec, feas=False, obj=-789]
INFO - 08:28:42: 49%|████▉ | 49/100 [00:00<00:00, 221.20 it/sec, feas=False, obj=-789]
INFO - 08:28:42: 50%|█████ | 50/100 [00:00<00:00, 220.93 it/sec, feas=False, obj=-395]
INFO - 08:28:42: 50%|█████ | 50/100 [00:00<00:00, 220.93 it/sec, feas=False, obj=-395]
INFO - 08:28:42: 51%|█████ | 51/100 [00:00<00:00, 219.87 it/sec, feas=False, obj=-407]
INFO - 08:28:42: 51%|█████ | 51/100 [00:00<00:00, 219.87 it/sec, feas=False, obj=-407]
INFO - 08:28:42: 52%|█████▏ | 52/100 [00:00<00:00, 220.10 it/sec, feas=False, obj=-315]
INFO - 08:28:42: 52%|█████▏ | 52/100 [00:00<00:00, 220.10 it/sec, feas=False, obj=-315]
INFO - 08:28:42: 53%|█████▎ | 53/100 [00:00<00:00, 219.72 it/sec, feas=False, obj=-337]
INFO - 08:28:42: 53%|█████▎ | 53/100 [00:00<00:00, 219.72 it/sec, feas=False, obj=-337]
INFO - 08:28:42: 54%|█████▍ | 54/100 [00:00<00:00, 219.99 it/sec, feas=False, obj=-414]
INFO - 08:28:42: 54%|█████▍ | 54/100 [00:00<00:00, 219.99 it/sec, feas=False, obj=-414]
INFO - 08:28:42: 55%|█████▌ | 55/100 [00:00<00:00, 219.62 it/sec, feas=False, obj=-240]
INFO - 08:28:42: 55%|█████▌ | 55/100 [00:00<00:00, 219.62 it/sec, feas=False, obj=-240]
INFO - 08:28:42: 56%|█████▌ | 56/100 [00:00<00:00, 220.59 it/sec, feas=False, obj=-297]
INFO - 08:28:42: 56%|█████▌ | 56/100 [00:00<00:00, 220.59 it/sec, feas=False, obj=-297]
INFO - 08:28:42: 57%|█████▋ | 57/100 [00:00<00:00, 220.92 it/sec, feas=False, obj=-442]
INFO - 08:28:42: 57%|█████▋ | 57/100 [00:00<00:00, 220.92 it/sec, feas=False, obj=-442]
INFO - 08:28:42: 58%|█████▊ | 58/100 [00:00<00:00, 220.63 it/sec, feas=True, obj=-233]
INFO - 08:28:42: 58%|█████▊ | 58/100 [00:00<00:00, 220.63 it/sec, feas=True, obj=-233]
INFO - 08:28:42: 59%|█████▉ | 59/100 [00:00<00:00, 220.17 it/sec, feas=False, obj=-519]
INFO - 08:28:42: 59%|█████▉ | 59/100 [00:00<00:00, 220.17 it/sec, feas=False, obj=-519]
INFO - 08:28:42: 60%|██████ | 60/100 [00:00<00:00, 219.85 it/sec, feas=False, obj=-920]
INFO - 08:28:42: 60%|██████ | 60/100 [00:00<00:00, 219.85 it/sec, feas=False, obj=-920]
INFO - 08:28:42: 61%|██████ | 61/100 [00:00<00:00, 219.59 it/sec, feas=False, obj=-517]
INFO - 08:28:42: 61%|██████ | 61/100 [00:00<00:00, 219.59 it/sec, feas=False, obj=-517]
INFO - 08:28:42: 62%|██████▏ | 62/100 [00:00<00:00, 219.91 it/sec, feas=False, obj=-390]
INFO - 08:28:42: 62%|██████▏ | 62/100 [00:00<00:00, 219.91 it/sec, feas=False, obj=-390]
INFO - 08:28:42: 63%|██████▎ | 63/100 [00:00<00:00, 220.16 it/sec, feas=False, obj=-434]
INFO - 08:28:42: 63%|██████▎ | 63/100 [00:00<00:00, 220.16 it/sec, feas=False, obj=-434]
INFO - 08:28:42: 64%|██████▍ | 64/100 [00:00<00:00, 219.92 it/sec, feas=False, obj=-244]
INFO - 08:28:42: 64%|██████▍ | 64/100 [00:00<00:00, 219.92 it/sec, feas=False, obj=-244]
INFO - 08:28:42: 65%|██████▌ | 65/100 [00:00<00:00, 218.87 it/sec, feas=False, obj=-192]
INFO - 08:28:42: 65%|██████▌ | 65/100 [00:00<00:00, 218.87 it/sec, feas=False, obj=-192]
INFO - 08:28:42: 66%|██████▌ | 66/100 [00:00<00:00, 219.07 it/sec, feas=False, obj=-305]
INFO - 08:28:42: 66%|██████▌ | 66/100 [00:00<00:00, 219.07 it/sec, feas=False, obj=-305]
INFO - 08:28:42: 67%|██████▋ | 67/100 [00:00<00:00, 218.17 it/sec, feas=False, obj=-393]
INFO - 08:28:42: 67%|██████▋ | 67/100 [00:00<00:00, 218.17 it/sec, feas=False, obj=-393]
INFO - 08:28:42: 68%|██████▊ | 68/100 [00:00<00:00, 218.41 it/sec, feas=False, obj=-307]
INFO - 08:28:42: 68%|██████▊ | 68/100 [00:00<00:00, 218.41 it/sec, feas=False, obj=-307]
INFO - 08:28:42: 69%|██████▉ | 69/100 [00:00<00:00, 218.62 it/sec, feas=False, obj=-328]
INFO - 08:28:42: 69%|██████▉ | 69/100 [00:00<00:00, 218.62 it/sec, feas=False, obj=-328]
INFO - 08:28:42: 70%|███████ | 70/100 [00:00<00:00, 218.29 it/sec, feas=False, obj=-998]
INFO - 08:28:42: 70%|███████ | 70/100 [00:00<00:00, 218.29 it/sec, feas=False, obj=-998]
INFO - 08:28:42: 71%|███████ | 71/100 [00:00<00:00, 218.49 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:42: 71%|███████ | 71/100 [00:00<00:00, 218.49 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:42: 72%|███████▏ | 72/100 [00:00<00:00, 218.63 it/sec, feas=False, obj=-707]
INFO - 08:28:42: 72%|███████▏ | 72/100 [00:00<00:00, 218.63 it/sec, feas=False, obj=-707]
INFO - 08:28:42: 73%|███████▎ | 73/100 [00:00<00:00, 219.26 it/sec, feas=False, obj=-897]
INFO - 08:28:42: 73%|███████▎ | 73/100 [00:00<00:00, 219.26 it/sec, feas=False, obj=-897]
INFO - 08:28:42: 74%|███████▍ | 74/100 [00:00<00:00, 219.98 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:42: 74%|███████▍ | 74/100 [00:00<00:00, 219.98 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:42: 75%|███████▌ | 75/100 [00:00<00:00, 220.20 it/sec, feas=False, obj=-853]
INFO - 08:28:42: 75%|███████▌ | 75/100 [00:00<00:00, 220.20 it/sec, feas=False, obj=-853]
INFO - 08:28:42: 76%|███████▌ | 76/100 [00:00<00:00, 220.41 it/sec, feas=False, obj=-217]
INFO - 08:28:42: 76%|███████▌ | 76/100 [00:00<00:00, 220.41 it/sec, feas=False, obj=-217]
INFO - 08:28:42: 77%|███████▋ | 77/100 [00:00<00:00, 220.26 it/sec, feas=False, obj=-370]
INFO - 08:28:42: 77%|███████▋ | 77/100 [00:00<00:00, 220.26 it/sec, feas=False, obj=-370]
INFO - 08:28:42: 78%|███████▊ | 78/100 [00:00<00:00, 220.40 it/sec, feas=False, obj=-636]
INFO - 08:28:42: 78%|███████▊ | 78/100 [00:00<00:00, 220.40 it/sec, feas=False, obj=-636]
INFO - 08:28:42: 79%|███████▉ | 79/100 [00:00<00:00, 220.64 it/sec, feas=False, obj=-337]
INFO - 08:28:42: 79%|███████▉ | 79/100 [00:00<00:00, 220.64 it/sec, feas=False, obj=-337]
INFO - 08:28:42: 80%|████████ | 80/100 [00:00<00:00, 220.84 it/sec, feas=False, obj=-804]
INFO - 08:28:42: 80%|████████ | 80/100 [00:00<00:00, 220.84 it/sec, feas=False, obj=-804]
INFO - 08:28:42: 81%|████████ | 81/100 [00:00<00:00, 220.99 it/sec, feas=False, obj=-318]
INFO - 08:28:42: 81%|████████ | 81/100 [00:00<00:00, 220.99 it/sec, feas=False, obj=-318]
INFO - 08:28:42: 82%|████████▏ | 82/100 [00:00<00:00, 220.73 it/sec, feas=False, obj=-253]
INFO - 08:28:42: 82%|████████▏ | 82/100 [00:00<00:00, 220.73 it/sec, feas=False, obj=-253]
INFO - 08:28:42: 83%|████████▎ | 83/100 [00:00<00:00, 220.47 it/sec, feas=False, obj=-590]
INFO - 08:28:42: 83%|████████▎ | 83/100 [00:00<00:00, 220.47 it/sec, feas=False, obj=-590]
INFO - 08:28:42: 84%|████████▍ | 84/100 [00:00<00:00, 220.08 it/sec, feas=False, obj=-438]
INFO - 08:28:42: 84%|████████▍ | 84/100 [00:00<00:00, 220.08 it/sec, feas=False, obj=-438]
INFO - 08:28:42: 85%|████████▌ | 85/100 [00:00<00:00, 219.79 it/sec, feas=False, obj=-642]
INFO - 08:28:42: 85%|████████▌ | 85/100 [00:00<00:00, 219.79 it/sec, feas=False, obj=-642]
INFO - 08:28:42: 86%|████████▌ | 86/100 [00:00<00:00, 220.47 it/sec, feas=False, obj=-381]
INFO - 08:28:42: 86%|████████▌ | 86/100 [00:00<00:00, 220.47 it/sec, feas=False, obj=-381]
INFO - 08:28:42: 87%|████████▋ | 87/100 [00:00<00:00, 220.74 it/sec, feas=False, obj=-447]
INFO - 08:28:42: 87%|████████▋ | 87/100 [00:00<00:00, 220.74 it/sec, feas=False, obj=-447]
INFO - 08:28:42: 88%|████████▊ | 88/100 [00:00<00:00, 220.64 it/sec, feas=False, obj=-707]
INFO - 08:28:42: 88%|████████▊ | 88/100 [00:00<00:00, 220.64 it/sec, feas=False, obj=-707]
INFO - 08:28:42: 89%|████████▉ | 89/100 [00:00<00:00, 221.31 it/sec, feas=False, obj=-384]
INFO - 08:28:42: 89%|████████▉ | 89/100 [00:00<00:00, 221.31 it/sec, feas=False, obj=-384]
INFO - 08:28:42: 90%|█████████ | 90/100 [00:00<00:00, 221.51 it/sec, feas=False, obj=-491]
INFO - 08:28:42: 90%|█████████ | 90/100 [00:00<00:00, 221.51 it/sec, feas=False, obj=-491]
INFO - 08:28:42: 91%|█████████ | 91/100 [00:00<00:00, 221.71 it/sec, feas=False, obj=-285]
INFO - 08:28:42: 91%|█████████ | 91/100 [00:00<00:00, 221.71 it/sec, feas=False, obj=-285]
INFO - 08:28:42: 92%|█████████▏| 92/100 [00:00<00:00, 221.49 it/sec, feas=False, obj=-433]
INFO - 08:28:42: 92%|█████████▏| 92/100 [00:00<00:00, 221.49 it/sec, feas=False, obj=-433]
INFO - 08:28:42: 93%|█████████▎| 93/100 [00:00<00:00, 221.28 it/sec, feas=False, obj=-377]
INFO - 08:28:42: 93%|█████████▎| 93/100 [00:00<00:00, 221.28 it/sec, feas=False, obj=-377]
INFO - 08:28:42: 94%|█████████▍| 94/100 [00:00<00:00, 221.45 it/sec, feas=False, obj=-827]
INFO - 08:28:42: 94%|█████████▍| 94/100 [00:00<00:00, 221.45 it/sec, feas=False, obj=-827]
INFO - 08:28:42: 95%|█████████▌| 95/100 [00:00<00:00, 221.29 it/sec, feas=False, obj=-712]
INFO - 08:28:42: 95%|█████████▌| 95/100 [00:00<00:00, 221.29 it/sec, feas=False, obj=-712]
INFO - 08:28:42: 96%|█████████▌| 96/100 [00:00<00:00, 221.48 it/sec, feas=False, obj=-245]
INFO - 08:28:42: 96%|█████████▌| 96/100 [00:00<00:00, 221.48 it/sec, feas=False, obj=-245]
INFO - 08:28:42: 97%|█████████▋| 97/100 [00:00<00:00, 221.64 it/sec, feas=False, obj=-502]
INFO - 08:28:42: 97%|█████████▋| 97/100 [00:00<00:00, 221.64 it/sec, feas=False, obj=-502]
INFO - 08:28:42: 98%|█████████▊| 98/100 [00:00<00:00, 221.02 it/sec, feas=False, obj=-309]
INFO - 08:28:42: 98%|█████████▊| 98/100 [00:00<00:00, 221.02 it/sec, feas=False, obj=-309]
INFO - 08:28:42: 99%|█████████▉| 99/100 [00:00<00:00, 221.15 it/sec, feas=False, obj=-971]
INFO - 08:28:42: 99%|█████████▉| 99/100 [00:00<00:00, 221.15 it/sec, feas=False, obj=-971]
INFO - 08:28:42: 100%|██████████| 100/100 [00:00<00:00, 220.58 it/sec, feas=False, obj=-649]
INFO - 08:28:42: 100%|██████████| 100/100 [00:00<00:00, 220.58 it/sec, feas=False, obj=-649]
INFO - 08:28:42: Optimization result:
INFO - 08:28:42: Optimizer info:
INFO - 08:28:42: Status: None
INFO - 08:28:42: Message: None
INFO - 08:28:42: Solution:
INFO - 08:28:42: Optimization result:
INFO - 08:28:42: Optimizer info:
INFO - 08:28:42: Status: None
INFO - 08:28:42: Message: None
INFO - 08:28:42: Solution:
INFO - 08:28:42: The solution is feasible.
INFO - 08:28:42: The solution is feasible.
INFO - 08:28:42: Objective: -659.1819334138517
INFO - 08:28:42: Standardized constraints:
INFO - 08:28:42: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:42: -0.19803381]
INFO - 08:28:42: g_2 = -0.007088218675791014
INFO - 08:28:42: g_3 = [-0.43705891 -0.56294109 -0.64490518 -0.08117258]
INFO - 08:28:42: Objective: -659.1819334138517
INFO - 08:28:42: Standardized constraints:
INFO - 08:28:42: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:42: -0.19803381]
INFO - 08:28:42: g_2 = -0.007088218675791014
INFO - 08:28:42: g_3 = [-0.43705891 -0.56294109 -0.64490518 -0.08117258]
INFO - 08:28:42: Design space:
INFO - 08:28:42: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:42: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:42: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:42: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:42: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:42: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:42: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:42: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:42: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:42: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:42: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:42: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:42: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:42: Design space:
INFO - 08:28:42: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:42: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:42: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:42: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:42: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:42: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:42: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:42: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:42: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:42: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:42: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:42: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:42: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:42: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:42: *** End DOEScenario execution ***
INFO - 08:28:42: *** End DOEScenario execution ***
Solve the Sobieski's SSBJ problem with NumPy¶
doe_scenario = DOEScenario(
[
SobieskiStructure(),
SobieskiAerodynamics(),
SobieskiPropulsion(),
SobieskiMission(),
],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
)
doe_scenario.add_constraint("g_1", "ineq")
doe_scenario.add_constraint("g_2", "ineq")
doe_scenario.add_constraint("g_3", "ineq")
doe_scenario.execute(algo_name="OT_OPT_LHS", n_samples=100)
Out:
INFO - 08:28:43: *** Start DOEScenario execution ***
INFO - 08:28:43: *** Start DOEScenario execution ***
INFO - 08:28:43: DOEScenario
INFO - 08:28:43: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:43: MDO formulation: MDF
INFO - 08:28:43: DOEScenario
INFO - 08:28:43: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:43: MDO formulation: MDF
INFO - 08:28:43: Optimization problem:
INFO - 08:28:43: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:43: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:43: under the inequality constraints
INFO - 08:28:43: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:43: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:43: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:43: Optimization problem:
INFO - 08:28:43: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:43: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:43: under the inequality constraints
INFO - 08:28:43: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:43: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:43: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:43: over the design space:
INFO - 08:28:43: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:43: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:43: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:43: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:43: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:43: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:43: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:43: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:43: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:43: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:43: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:43: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:43: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:43: over the design space:
INFO - 08:28:43: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:43: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:43: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:43: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:43: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:43: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:43: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:43: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:43: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:43: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:43: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:43: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:43: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:43: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:43: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:43: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:43: 1%| | 1/100 [00:00<00:01, 87.21 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:43: 1%| | 1/100 [00:00<00:01, 87.21 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:43: 2%|▏ | 2/100 [00:00<00:01, 91.23 it/sec, feas=False, obj=-303]
INFO - 08:28:43: 2%|▏ | 2/100 [00:00<00:01, 91.23 it/sec, feas=False, obj=-303]
INFO - 08:28:43: 3%|▎ | 3/100 [00:00<00:01, 80.78 it/sec, feas=False, obj=-447]
INFO - 08:28:43: 3%|▎ | 3/100 [00:00<00:01, 80.78 it/sec, feas=False, obj=-447]
INFO - 08:28:43: 4%|▍ | 4/100 [00:00<00:01, 79.28 it/sec, feas=False, obj=-444]
INFO - 08:28:43: 4%|▍ | 4/100 [00:00<00:01, 79.28 it/sec, feas=False, obj=-444]
INFO - 08:28:43: 5%|▌ | 5/100 [00:00<00:01, 83.45 it/sec, feas=False, obj=-804]
INFO - 08:28:43: 5%|▌ | 5/100 [00:00<00:01, 83.45 it/sec, feas=False, obj=-804]
INFO - 08:28:43: 6%|▌ | 6/100 [00:00<00:01, 82.31 it/sec, feas=False, obj=-232]
INFO - 08:28:43: 6%|▌ | 6/100 [00:00<00:01, 82.31 it/sec, feas=False, obj=-232]
INFO - 08:28:43: 7%|▋ | 7/100 [00:00<00:01, 84.90 it/sec, feas=False, obj=-701]
INFO - 08:28:43: 7%|▋ | 7/100 [00:00<00:01, 84.90 it/sec, feas=False, obj=-701]
INFO - 08:28:43: 8%|▊ | 8/100 [00:00<00:01, 86.84 it/sec, feas=False, obj=-253]
INFO - 08:28:43: 8%|▊ | 8/100 [00:00<00:01, 86.84 it/sec, feas=False, obj=-253]
INFO - 08:28:43: 9%|▉ | 9/100 [00:00<00:01, 89.47 it/sec, feas=False, obj=-773]
INFO - 08:28:43: 9%|▉ | 9/100 [00:00<00:01, 89.47 it/sec, feas=False, obj=-773]
INFO - 08:28:43: 10%|█ | 10/100 [00:00<00:00, 91.67 it/sec, feas=False, obj=-448]
INFO - 08:28:43: 10%|█ | 10/100 [00:00<00:00, 91.67 it/sec, feas=False, obj=-448]
INFO - 08:28:43: 11%|█ | 11/100 [00:00<00:00, 89.40 it/sec, feas=True, obj=-659]
INFO - 08:28:43: 11%|█ | 11/100 [00:00<00:00, 89.40 it/sec, feas=True, obj=-659]
INFO - 08:28:43: 12%|█▏ | 12/100 [00:00<00:00, 90.54 it/sec, feas=False, obj=-282]
INFO - 08:28:43: 12%|█▏ | 12/100 [00:00<00:00, 90.54 it/sec, feas=False, obj=-282]
INFO - 08:28:43: 13%|█▎ | 13/100 [00:00<00:00, 91.52 it/sec, feas=False, obj=-387]
INFO - 08:28:43: 13%|█▎ | 13/100 [00:00<00:00, 91.52 it/sec, feas=False, obj=-387]
INFO - 08:28:43: 14%|█▍ | 14/100 [00:00<00:00, 92.41 it/sec, feas=False, obj=-379]
INFO - 08:28:43: 14%|█▍ | 14/100 [00:00<00:00, 92.41 it/sec, feas=False, obj=-379]
INFO - 08:28:43: 15%|█▌ | 15/100 [00:00<00:00, 91.27 it/sec, feas=False, obj=-196]
INFO - 08:28:43: 15%|█▌ | 15/100 [00:00<00:00, 91.27 it/sec, feas=False, obj=-196]
INFO - 08:28:43: 16%|█▌ | 16/100 [00:00<00:00, 91.94 it/sec, feas=False, obj=-647]
INFO - 08:28:43: 16%|█▌ | 16/100 [00:00<00:00, 91.94 it/sec, feas=False, obj=-647]
INFO - 08:28:43: 17%|█▋ | 17/100 [00:00<00:00, 89.65 it/sec, feas=False, obj=-238]
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INFO - 08:28:43: 20%|██ | 20/100 [00:00<00:00, 91.85 it/sec, feas=False, obj=-699]
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INFO - 08:28:43: 25%|██▌ | 25/100 [00:00<00:00, 93.82 it/sec, feas=False, obj=-345]
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INFO - 08:28:43: 28%|██▊ | 28/100 [00:00<00:00, 92.54 it/sec, feas=False, obj=-334]
INFO - 08:28:43: 28%|██▊ | 28/100 [00:00<00:00, 92.54 it/sec, feas=False, obj=-334]
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INFO - 08:28:43: 30%|███ | 30/100 [00:00<00:00, 93.28 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:43: 30%|███ | 30/100 [00:00<00:00, 93.28 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:43: 31%|███ | 31/100 [00:00<00:00, 93.60 it/sec, feas=False, obj=-733]
INFO - 08:28:43: 31%|███ | 31/100 [00:00<00:00, 93.60 it/sec, feas=False, obj=-733]
INFO - 08:28:43: 32%|███▏ | 32/100 [00:00<00:00, 94.21 it/sec, feas=False, obj=-774]
INFO - 08:28:43: 32%|███▏ | 32/100 [00:00<00:00, 94.21 it/sec, feas=False, obj=-774]
INFO - 08:28:43: 33%|███▎ | 33/100 [00:00<00:00, 93.55 it/sec, feas=False, obj=-517]
INFO - 08:28:43: 33%|███▎ | 33/100 [00:00<00:00, 93.55 it/sec, feas=False, obj=-517]
INFO - 08:28:43: 34%|███▍ | 34/100 [00:00<00:00, 93.44 it/sec, feas=False, obj=-232]
INFO - 08:28:43: 34%|███▍ | 34/100 [00:00<00:00, 93.44 it/sec, feas=False, obj=-232]
INFO - 08:28:43: 35%|███▌ | 35/100 [00:00<00:00, 92.89 it/sec, feas=False, obj=-195]
INFO - 08:28:43: 35%|███▌ | 35/100 [00:00<00:00, 92.89 it/sec, feas=False, obj=-195]
INFO - 08:28:43: 36%|███▌ | 36/100 [00:00<00:00, 92.94 it/sec, feas=False, obj=-218]
INFO - 08:28:43: 36%|███▌ | 36/100 [00:00<00:00, 92.94 it/sec, feas=False, obj=-218]
INFO - 08:28:43: 37%|███▋ | 37/100 [00:00<00:00, 92.22 it/sec, feas=False, obj=-198]
INFO - 08:28:43: 37%|███▋ | 37/100 [00:00<00:00, 92.22 it/sec, feas=False, obj=-198]
INFO - 08:28:43: 38%|███▊ | 38/100 [00:00<00:00, 92.28 it/sec, feas=False, obj=-536]
INFO - 08:28:43: 38%|███▊ | 38/100 [00:00<00:00, 92.28 it/sec, feas=False, obj=-536]
INFO - 08:28:43: 39%|███▉ | 39/100 [00:00<00:00, 90.77 it/sec, feas=False, obj=-173]
INFO - 08:28:43: 39%|███▉ | 39/100 [00:00<00:00, 90.77 it/sec, feas=False, obj=-173]
INFO - 08:28:43: 40%|████ | 40/100 [00:00<00:00, 91.24 it/sec, feas=False, obj=-388]
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INFO - 08:28:43: 41%|████ | 41/100 [00:00<00:00, 91.08 it/sec, feas=False, obj=-723]
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INFO - 08:28:43: 42%|████▏ | 42/100 [00:00<00:00, 90.49 it/sec, feas=False, obj=-240]
INFO - 08:28:43: 42%|████▏ | 42/100 [00:00<00:00, 90.49 it/sec, feas=False, obj=-240]
INFO - 08:28:43: 43%|████▎ | 43/100 [00:00<00:00, 90.76 it/sec, feas=False, obj=-663]
INFO - 08:28:43: 43%|████▎ | 43/100 [00:00<00:00, 90.76 it/sec, feas=False, obj=-663]
INFO - 08:28:43: 44%|████▍ | 44/100 [00:00<00:00, 90.38 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:43: 44%|████▍ | 44/100 [00:00<00:00, 90.38 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:43: 45%|████▌ | 45/100 [00:00<00:00, 90.64 it/sec, feas=False, obj=-438]
INFO - 08:28:43: 45%|████▌ | 45/100 [00:00<00:00, 90.64 it/sec, feas=False, obj=-438]
INFO - 08:28:43: 46%|████▌ | 46/100 [00:00<00:00, 89.92 it/sec, feas=False, obj=-301]
INFO - 08:28:43: 46%|████▌ | 46/100 [00:00<00:00, 89.92 it/sec, feas=False, obj=-301]
INFO - 08:28:43: 47%|████▋ | 47/100 [00:00<00:00, 90.39 it/sec, feas=False, obj=-682]
INFO - 08:28:43: 47%|████▋ | 47/100 [00:00<00:00, 90.39 it/sec, feas=False, obj=-682]
INFO - 08:28:43: 48%|████▊ | 48/100 [00:00<00:00, 90.27 it/sec, feas=False, obj=-750]
INFO - 08:28:43: 48%|████▊ | 48/100 [00:00<00:00, 90.27 it/sec, feas=False, obj=-750]
INFO - 08:28:43: 49%|████▉ | 49/100 [00:00<00:00, 90.32 it/sec, feas=False, obj=-789]
INFO - 08:28:43: 49%|████▉ | 49/100 [00:00<00:00, 90.32 it/sec, feas=False, obj=-789]
INFO - 08:28:43: 50%|█████ | 50/100 [00:00<00:00, 90.37 it/sec, feas=False, obj=-395]
INFO - 08:28:43: 50%|█████ | 50/100 [00:00<00:00, 90.37 it/sec, feas=False, obj=-395]
INFO - 08:28:43: 51%|█████ | 51/100 [00:00<00:00, 90.06 it/sec, feas=False, obj=-407]
INFO - 08:28:43: 51%|█████ | 51/100 [00:00<00:00, 90.06 it/sec, feas=False, obj=-407]
INFO - 08:28:43: 52%|█████▏ | 52/100 [00:00<00:00, 90.31 it/sec, feas=False, obj=-315]
INFO - 08:28:43: 52%|█████▏ | 52/100 [00:00<00:00, 90.31 it/sec, feas=False, obj=-315]
INFO - 08:28:43: 53%|█████▎ | 53/100 [00:00<00:00, 89.86 it/sec, feas=False, obj=-337]
INFO - 08:28:43: 53%|█████▎ | 53/100 [00:00<00:00, 89.86 it/sec, feas=False, obj=-337]
INFO - 08:28:43: 54%|█████▍ | 54/100 [00:00<00:00, 89.93 it/sec, feas=False, obj=-414]
INFO - 08:28:43: 54%|█████▍ | 54/100 [00:00<00:00, 89.93 it/sec, feas=False, obj=-414]
INFO - 08:28:43: 55%|█████▌ | 55/100 [00:00<00:00, 89.51 it/sec, feas=False, obj=-240]
INFO - 08:28:43: 55%|█████▌ | 55/100 [00:00<00:00, 89.51 it/sec, feas=False, obj=-240]
INFO - 08:28:43: 56%|█████▌ | 56/100 [00:00<00:00, 89.75 it/sec, feas=False, obj=-297]
INFO - 08:28:43: 56%|█████▌ | 56/100 [00:00<00:00, 89.75 it/sec, feas=False, obj=-297]
INFO - 08:28:43: 57%|█████▋ | 57/100 [00:00<00:00, 90.13 it/sec, feas=False, obj=-442]
INFO - 08:28:43: 57%|█████▋ | 57/100 [00:00<00:00, 90.13 it/sec, feas=False, obj=-442]
INFO - 08:28:43: 58%|█████▊ | 58/100 [00:00<00:00, 90.06 it/sec, feas=True, obj=-233]
INFO - 08:28:43: 58%|█████▊ | 58/100 [00:00<00:00, 90.06 it/sec, feas=True, obj=-233]
INFO - 08:28:43: 59%|█████▉ | 59/100 [00:00<00:00, 90.13 it/sec, feas=False, obj=-519]
INFO - 08:28:43: 59%|█████▉ | 59/100 [00:00<00:00, 90.13 it/sec, feas=False, obj=-519]
INFO - 08:28:43: 60%|██████ | 60/100 [00:00<00:00, 90.18 it/sec, feas=False, obj=-920]
INFO - 08:28:43: 60%|██████ | 60/100 [00:00<00:00, 90.18 it/sec, feas=False, obj=-920]
INFO - 08:28:43: 61%|██████ | 61/100 [00:00<00:00, 90.07 it/sec, feas=False, obj=-517]
INFO - 08:28:43: 61%|██████ | 61/100 [00:00<00:00, 90.07 it/sec, feas=False, obj=-517]
INFO - 08:28:43: 62%|██████▏ | 62/100 [00:00<00:00, 90.13 it/sec, feas=False, obj=-390]
INFO - 08:28:43: 62%|██████▏ | 62/100 [00:00<00:00, 90.13 it/sec, feas=False, obj=-390]
INFO - 08:28:43: 63%|██████▎ | 63/100 [00:00<00:00, 89.72 it/sec, feas=False, obj=-434]
INFO - 08:28:43: 63%|██████▎ | 63/100 [00:00<00:00, 89.72 it/sec, feas=False, obj=-434]
INFO - 08:28:43: 64%|██████▍ | 64/100 [00:00<00:00, 89.49 it/sec, feas=False, obj=-244]
INFO - 08:28:43: 64%|██████▍ | 64/100 [00:00<00:00, 89.49 it/sec, feas=False, obj=-244]
INFO - 08:28:43: 65%|██████▌ | 65/100 [00:00<00:00, 89.00 it/sec, feas=False, obj=-192]
INFO - 08:28:43: 65%|██████▌ | 65/100 [00:00<00:00, 89.00 it/sec, feas=False, obj=-192]
INFO - 08:28:43: 66%|██████▌ | 66/100 [00:00<00:00, 89.20 it/sec, feas=False, obj=-305]
INFO - 08:28:43: 66%|██████▌ | 66/100 [00:00<00:00, 89.20 it/sec, feas=False, obj=-305]
INFO - 08:28:43: 67%|██████▋ | 67/100 [00:00<00:00, 88.98 it/sec, feas=False, obj=-393]
INFO - 08:28:43: 67%|██████▋ | 67/100 [00:00<00:00, 88.98 it/sec, feas=False, obj=-393]
INFO - 08:28:43: 68%|██████▊ | 68/100 [00:00<00:00, 89.16 it/sec, feas=False, obj=-307]
INFO - 08:28:43: 68%|██████▊ | 68/100 [00:00<00:00, 89.16 it/sec, feas=False, obj=-307]
INFO - 08:28:43: 69%|██████▉ | 69/100 [00:00<00:00, 89.32 it/sec, feas=False, obj=-328]
INFO - 08:28:43: 69%|██████▉ | 69/100 [00:00<00:00, 89.32 it/sec, feas=False, obj=-328]
INFO - 08:28:43: 70%|███████ | 70/100 [00:00<00:00, 89.31 it/sec, feas=False, obj=-998]
INFO - 08:28:43: 70%|███████ | 70/100 [00:00<00:00, 89.31 it/sec, feas=False, obj=-998]
INFO - 08:28:43: 71%|███████ | 71/100 [00:00<00:00, 89.21 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:43: 71%|███████ | 71/100 [00:00<00:00, 89.21 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:43: 72%|███████▏ | 72/100 [00:00<00:00, 88.88 it/sec, feas=False, obj=-707]
INFO - 08:28:43: 72%|███████▏ | 72/100 [00:00<00:00, 88.88 it/sec, feas=False, obj=-707]
INFO - 08:28:43: 73%|███████▎ | 73/100 [00:00<00:00, 89.03 it/sec, feas=False, obj=-897]
INFO - 08:28:43: 73%|███████▎ | 73/100 [00:00<00:00, 89.03 it/sec, feas=False, obj=-897]
INFO - 08:28:43: 74%|███████▍ | 74/100 [00:00<00:00, 88.84 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:43: 74%|███████▍ | 74/100 [00:00<00:00, 88.84 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:43: 75%|███████▌ | 75/100 [00:00<00:00, 89.03 it/sec, feas=False, obj=-853]
INFO - 08:28:43: 75%|███████▌ | 75/100 [00:00<00:00, 89.03 it/sec, feas=False, obj=-853]
INFO - 08:28:43: 76%|███████▌ | 76/100 [00:00<00:00, 89.19 it/sec, feas=False, obj=-217]
INFO - 08:28:43: 76%|███████▌ | 76/100 [00:00<00:00, 89.19 it/sec, feas=False, obj=-217]
INFO - 08:28:43: 77%|███████▋ | 77/100 [00:00<00:00, 89.01 it/sec, feas=False, obj=-370]
INFO - 08:28:43: 77%|███████▋ | 77/100 [00:00<00:00, 89.01 it/sec, feas=False, obj=-370]
INFO - 08:28:43: 78%|███████▊ | 78/100 [00:00<00:00, 88.72 it/sec, feas=False, obj=-636]
INFO - 08:28:43: 78%|███████▊ | 78/100 [00:00<00:00, 88.72 it/sec, feas=False, obj=-636]
INFO - 08:28:43: 79%|███████▉ | 79/100 [00:00<00:00, 89.01 it/sec, feas=False, obj=-337]
INFO - 08:28:43: 79%|███████▉ | 79/100 [00:00<00:00, 89.01 it/sec, feas=False, obj=-337]
INFO - 08:28:43: 80%|████████ | 80/100 [00:00<00:00, 88.85 it/sec, feas=False, obj=-804]
INFO - 08:28:43: 80%|████████ | 80/100 [00:00<00:00, 88.85 it/sec, feas=False, obj=-804]
INFO - 08:28:43: 81%|████████ | 81/100 [00:00<00:00, 89.00 it/sec, feas=False, obj=-318]
INFO - 08:28:43: 81%|████████ | 81/100 [00:00<00:00, 89.00 it/sec, feas=False, obj=-318]
INFO - 08:28:43: 82%|████████▏ | 82/100 [00:00<00:00, 88.94 it/sec, feas=False, obj=-253]
INFO - 08:28:43: 82%|████████▏ | 82/100 [00:00<00:00, 88.94 it/sec, feas=False, obj=-253]
INFO - 08:28:43: 83%|████████▎ | 83/100 [00:00<00:00, 88.35 it/sec, feas=False, obj=-590]
INFO - 08:28:43: 83%|████████▎ | 83/100 [00:00<00:00, 88.35 it/sec, feas=False, obj=-590]
INFO - 08:28:43: 84%|████████▍ | 84/100 [00:00<00:00, 88.39 it/sec, feas=False, obj=-438]
INFO - 08:28:43: 84%|████████▍ | 84/100 [00:00<00:00, 88.39 it/sec, feas=False, obj=-438]
INFO - 08:28:43: 85%|████████▌ | 85/100 [00:00<00:00, 88.53 it/sec, feas=False, obj=-642]
INFO - 08:28:43: 85%|████████▌ | 85/100 [00:00<00:00, 88.53 it/sec, feas=False, obj=-642]
INFO - 08:28:43: 86%|████████▌ | 86/100 [00:00<00:00, 88.78 it/sec, feas=False, obj=-381]
INFO - 08:28:43: 86%|████████▌ | 86/100 [00:00<00:00, 88.78 it/sec, feas=False, obj=-381]
INFO - 08:28:44: 87%|████████▋ | 87/100 [00:00<00:00, 88.92 it/sec, feas=False, obj=-447]
INFO - 08:28:44: 87%|████████▋ | 87/100 [00:00<00:00, 88.92 it/sec, feas=False, obj=-447]
INFO - 08:28:44: 88%|████████▊ | 88/100 [00:00<00:00, 88.66 it/sec, feas=False, obj=-707]
INFO - 08:28:44: 88%|████████▊ | 88/100 [00:00<00:00, 88.66 it/sec, feas=False, obj=-707]
INFO - 08:28:44: 89%|████████▉ | 89/100 [00:01<00:00, 88.78 it/sec, feas=False, obj=-384]
INFO - 08:28:44: 89%|████████▉ | 89/100 [00:01<00:00, 88.78 it/sec, feas=False, obj=-384]
INFO - 08:28:44: 90%|█████████ | 90/100 [00:01<00:00, 88.91 it/sec, feas=False, obj=-491]
INFO - 08:28:44: 90%|█████████ | 90/100 [00:01<00:00, 88.91 it/sec, feas=False, obj=-491]
INFO - 08:28:44: 91%|█████████ | 91/100 [00:01<00:00, 89.04 it/sec, feas=False, obj=-285]
INFO - 08:28:44: 91%|█████████ | 91/100 [00:01<00:00, 89.04 it/sec, feas=False, obj=-285]
INFO - 08:28:44: 92%|█████████▏| 92/100 [00:01<00:00, 89.04 it/sec, feas=False, obj=-433]
INFO - 08:28:44: 92%|█████████▏| 92/100 [00:01<00:00, 89.04 it/sec, feas=False, obj=-433]
INFO - 08:28:44: 93%|█████████▎| 93/100 [00:01<00:00, 89.01 it/sec, feas=False, obj=-377]
INFO - 08:28:44: 93%|█████████▎| 93/100 [00:01<00:00, 89.01 it/sec, feas=False, obj=-377]
INFO - 08:28:44: 94%|█████████▍| 94/100 [00:01<00:00, 89.05 it/sec, feas=False, obj=-827]
INFO - 08:28:44: 94%|█████████▍| 94/100 [00:01<00:00, 89.05 it/sec, feas=False, obj=-827]
INFO - 08:28:44: 95%|█████████▌| 95/100 [00:01<00:00, 89.07 it/sec, feas=False, obj=-712]
INFO - 08:28:44: 95%|█████████▌| 95/100 [00:01<00:00, 89.07 it/sec, feas=False, obj=-712]
INFO - 08:28:44: 96%|█████████▌| 96/100 [00:01<00:00, 89.20 it/sec, feas=False, obj=-245]
INFO - 08:28:44: 96%|█████████▌| 96/100 [00:01<00:00, 89.20 it/sec, feas=False, obj=-245]
INFO - 08:28:44: 97%|█████████▋| 97/100 [00:01<00:00, 89.41 it/sec, feas=False, obj=-502]
INFO - 08:28:44: 97%|█████████▋| 97/100 [00:01<00:00, 89.41 it/sec, feas=False, obj=-502]
INFO - 08:28:44: 98%|█████████▊| 98/100 [00:01<00:00, 89.16 it/sec, feas=False, obj=-309]
INFO - 08:28:44: 98%|█████████▊| 98/100 [00:01<00:00, 89.16 it/sec, feas=False, obj=-309]
INFO - 08:28:44: 99%|█████████▉| 99/100 [00:01<00:00, 89.10 it/sec, feas=False, obj=-971]
INFO - 08:28:44: 99%|█████████▉| 99/100 [00:01<00:00, 89.10 it/sec, feas=False, obj=-971]
INFO - 08:28:44: 100%|██████████| 100/100 [00:01<00:00, 88.99 it/sec, feas=False, obj=-649]
INFO - 08:28:44: 100%|██████████| 100/100 [00:01<00:00, 88.99 it/sec, feas=False, obj=-649]
INFO - 08:28:44: Optimization result:
INFO - 08:28:44: Optimizer info:
INFO - 08:28:44: Status: None
INFO - 08:28:44: Message: None
INFO - 08:28:44: Solution:
INFO - 08:28:44: Optimization result:
INFO - 08:28:44: Optimizer info:
INFO - 08:28:44: Status: None
INFO - 08:28:44: Message: None
INFO - 08:28:44: Solution:
INFO - 08:28:44: The solution is feasible.
INFO - 08:28:44: The solution is feasible.
INFO - 08:28:44: Objective: -659.181929189823
INFO - 08:28:44: Standardized constraints:
INFO - 08:28:44: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:44: -0.19803381]
INFO - 08:28:44: g_2 = -0.007088218675791014
INFO - 08:28:44: g_3 = [-0.43705891 -0.56294109 -0.64490518 -0.08117258]
INFO - 08:28:44: Objective: -659.181929189823
INFO - 08:28:44: Standardized constraints:
INFO - 08:28:44: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:44: -0.19803381]
INFO - 08:28:44: g_2 = -0.007088218675791014
INFO - 08:28:44: g_3 = [-0.43705891 -0.56294109 -0.64490518 -0.08117258]
INFO - 08:28:44: Design space:
INFO - 08:28:44: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:44: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:44: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:44: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:44: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:44: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:44: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:44: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:44: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:44: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:44: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:44: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:44: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:44: Design space:
INFO - 08:28:44: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:44: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:44: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:44: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:44: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:44: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:44: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:44: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:44: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:44: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:44: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:44: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:44: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:44: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:44: *** End DOEScenario execution ***
INFO - 08:28:44: *** End DOEScenario execution ***
Conclusion¶
JAX is about 3 times faster than NumPy in the case of a sampling loop with a Jacobi MDA.
MDF with MDAGaussSeidel¶
Solve the Sobieski's SSBJ problem with JAX¶
chain = JAXSobieskiChain()
doe_scenario = DOEScenario(
[chain],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
main_mda_settings={"inner_mda_name": "MDAGaussSeidel"},
)
doe_scenario.add_constraint("g_1", "ineq")
doe_scenario.add_constraint("g_2", "ineq")
doe_scenario.add_constraint("g_3", "ineq")
doe_scenario.execute(algo_name="OT_OPT_LHS", n_samples=100)
Out:
INFO - 08:28:45: Compilation of the output function JAXSobieskiChain: 0:00:00.316650 seconds.
INFO - 08:28:45: Compilation of the output function JAXSobieskiChain: 0:00:00.316650 seconds.
INFO - 08:28:45: Compilation of the Jacobian function JAXSobieskiChain: 0:00:00.945590 seconds.
INFO - 08:28:45: Compilation of the Jacobian function JAXSobieskiChain: 0:00:00.945590 seconds.
INFO - 08:28:45: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:45: *** Start DOEScenario execution ***
INFO - 08:28:45: *** Start DOEScenario execution ***
INFO - 08:28:45: DOEScenario
INFO - 08:28:45: Disciplines: JAXSobieskiChain
INFO - 08:28:45: MDO formulation: MDF
INFO - 08:28:45: DOEScenario
INFO - 08:28:45: Disciplines: JAXSobieskiChain
INFO - 08:28:45: MDO formulation: MDF
INFO - 08:28:45: Optimization problem:
INFO - 08:28:45: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:45: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:45: under the inequality constraints
INFO - 08:28:45: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: Optimization problem:
INFO - 08:28:45: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:45: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:45: under the inequality constraints
INFO - 08:28:45: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: over the design space:
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:45: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:45: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:45: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:45: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:45: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:45: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:45: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: over the design space:
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:45: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:45: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:45: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:45: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:45: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:45: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:45: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:45: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:45: 1%| | 1/100 [00:00<00:00, 281.10 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:45: 1%| | 1/100 [00:00<00:00, 281.10 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:45: 2%|▏ | 2/100 [00:00<00:00, 323.95 it/sec, feas=False, obj=-303]
INFO - 08:28:45: 2%|▏ | 2/100 [00:00<00:00, 323.95 it/sec, feas=False, obj=-303]
INFO - 08:28:45: 3%|▎ | 3/100 [00:00<00:00, 258.05 it/sec, feas=False, obj=-447]
INFO - 08:28:45: 3%|▎ | 3/100 [00:00<00:00, 258.05 it/sec, feas=False, obj=-447]
INFO - 08:28:45: 4%|▍ | 4/100 [00:00<00:00, 273.98 it/sec, feas=False, obj=-444]
INFO - 08:28:45: 4%|▍ | 4/100 [00:00<00:00, 273.98 it/sec, feas=False, obj=-444]
INFO - 08:28:45: 5%|▌ | 5/100 [00:00<00:00, 285.79 it/sec, feas=False, obj=-804]
INFO - 08:28:45: 5%|▌ | 5/100 [00:00<00:00, 285.79 it/sec, feas=False, obj=-804]
INFO - 08:28:45: 6%|▌ | 6/100 [00:00<00:00, 292.08 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 6%|▌ | 6/100 [00:00<00:00, 292.08 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 7%|▋ | 7/100 [00:00<00:00, 297.15 it/sec, feas=False, obj=-701]
INFO - 08:28:45: 7%|▋ | 7/100 [00:00<00:00, 297.15 it/sec, feas=False, obj=-701]
INFO - 08:28:45: 8%|▊ | 8/100 [00:00<00:00, 294.08 it/sec, feas=False, obj=-253]
INFO - 08:28:45: 8%|▊ | 8/100 [00:00<00:00, 294.08 it/sec, feas=False, obj=-253]
INFO - 08:28:45: 9%|▉ | 9/100 [00:00<00:00, 303.76 it/sec, feas=False, obj=-773]
INFO - 08:28:45: 9%|▉ | 9/100 [00:00<00:00, 303.76 it/sec, feas=False, obj=-773]
INFO - 08:28:45: 10%|█ | 10/100 [00:00<00:00, 308.93 it/sec, feas=False, obj=-448]
INFO - 08:28:45: 10%|█ | 10/100 [00:00<00:00, 308.93 it/sec, feas=False, obj=-448]
INFO - 08:28:45: 11%|█ | 11/100 [00:00<00:00, 308.84 it/sec, feas=True, obj=-659]
INFO - 08:28:45: 11%|█ | 11/100 [00:00<00:00, 308.84 it/sec, feas=True, obj=-659]
INFO - 08:28:45: 12%|█▏ | 12/100 [00:00<00:00, 308.59 it/sec, feas=False, obj=-282]
INFO - 08:28:45: 12%|█▏ | 12/100 [00:00<00:00, 308.59 it/sec, feas=False, obj=-282]
INFO - 08:28:45: 13%|█▎ | 13/100 [00:00<00:00, 314.89 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 13%|█▎ | 13/100 [00:00<00:00, 314.89 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 14%|█▍ | 14/100 [00:00<00:00, 318.51 it/sec, feas=False, obj=-379]
INFO - 08:28:45: 14%|█▍ | 14/100 [00:00<00:00, 318.51 it/sec, feas=False, obj=-379]
INFO - 08:28:45: 15%|█▌ | 15/100 [00:00<00:00, 317.33 it/sec, feas=False, obj=-196]
INFO - 08:28:45: 15%|█▌ | 15/100 [00:00<00:00, 317.33 it/sec, feas=False, obj=-196]
INFO - 08:28:45: 16%|█▌ | 16/100 [00:00<00:00, 311.70 it/sec, feas=False, obj=-647]
INFO - 08:28:45: 16%|█▌ | 16/100 [00:00<00:00, 311.70 it/sec, feas=False, obj=-647]
INFO - 08:28:45: 17%|█▋ | 17/100 [00:00<00:00, 305.72 it/sec, feas=False, obj=-238]
INFO - 08:28:45: 17%|█▋ | 17/100 [00:00<00:00, 305.72 it/sec, feas=False, obj=-238]
INFO - 08:28:45: 18%|█▊ | 18/100 [00:00<00:00, 308.82 it/sec, feas=False, obj=-304]
INFO - 08:28:45: 18%|█▊ | 18/100 [00:00<00:00, 308.82 it/sec, feas=False, obj=-304]
INFO - 08:28:45: 19%|█▉ | 19/100 [00:00<00:00, 308.36 it/sec, feas=False, obj=-372]
INFO - 08:28:45: 19%|█▉ | 19/100 [00:00<00:00, 308.36 it/sec, feas=False, obj=-372]
INFO - 08:28:45: 20%|██ | 20/100 [00:00<00:00, 312.48 it/sec, feas=False, obj=-699]
INFO - 08:28:45: 20%|██ | 20/100 [00:00<00:00, 312.48 it/sec, feas=False, obj=-699]
INFO - 08:28:45: 21%|██ | 21/100 [00:00<00:00, 313.54 it/sec, feas=False, obj=-873]
INFO - 08:28:45: 21%|██ | 21/100 [00:00<00:00, 313.54 it/sec, feas=False, obj=-873]
INFO - 08:28:45: 22%|██▏ | 22/100 [00:00<00:00, 312.36 it/sec, feas=False, obj=-489]
INFO - 08:28:45: 22%|██▏ | 22/100 [00:00<00:00, 312.36 it/sec, feas=False, obj=-489]
INFO - 08:28:45: 23%|██▎ | 23/100 [00:00<00:00, 309.86 it/sec, feas=False, obj=-623]
INFO - 08:28:45: 23%|██▎ | 23/100 [00:00<00:00, 309.86 it/sec, feas=False, obj=-623]
INFO - 08:28:45: 24%|██▍ | 24/100 [00:00<00:00, 313.39 it/sec, feas=False, obj=-262]
INFO - 08:28:45: 24%|██▍ | 24/100 [00:00<00:00, 313.39 it/sec, feas=False, obj=-262]
INFO - 08:28:45: 25%|██▌ | 25/100 [00:00<00:00, 316.47 it/sec, feas=False, obj=-345]
INFO - 08:28:45: 25%|██▌ | 25/100 [00:00<00:00, 316.47 it/sec, feas=False, obj=-345]
INFO - 08:28:45: 26%|██▌ | 26/100 [00:00<00:00, 313.91 it/sec, feas=False, obj=-377]
INFO - 08:28:45: 26%|██▌ | 26/100 [00:00<00:00, 313.91 it/sec, feas=False, obj=-377]
INFO - 08:28:45: 27%|██▋ | 27/100 [00:00<00:00, 312.54 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 27%|██▋ | 27/100 [00:00<00:00, 312.54 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 28%|██▊ | 28/100 [00:00<00:00, 306.65 it/sec, feas=False, obj=-334]
INFO - 08:28:45: 28%|██▊ | 28/100 [00:00<00:00, 306.65 it/sec, feas=False, obj=-334]
INFO - 08:28:45: 29%|██▉ | 29/100 [00:00<00:00, 309.26 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 29%|██▉ | 29/100 [00:00<00:00, 309.26 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 30%|███ | 30/100 [00:00<00:00, 311.73 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:45: 30%|███ | 30/100 [00:00<00:00, 311.73 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:45: 31%|███ | 31/100 [00:00<00:00, 309.87 it/sec, feas=False, obj=-733]
INFO - 08:28:45: 31%|███ | 31/100 [00:00<00:00, 309.87 it/sec, feas=False, obj=-733]
INFO - 08:28:45: 32%|███▏ | 32/100 [00:00<00:00, 311.46 it/sec, feas=False, obj=-774]
INFO - 08:28:45: 32%|███▏ | 32/100 [00:00<00:00, 311.46 it/sec, feas=False, obj=-774]
INFO - 08:28:45: 33%|███▎ | 33/100 [00:00<00:00, 311.37 it/sec, feas=False, obj=-517]
INFO - 08:28:45: 33%|███▎ | 33/100 [00:00<00:00, 311.37 it/sec, feas=False, obj=-517]
INFO - 08:28:45: 34%|███▍ | 34/100 [00:00<00:00, 312.92 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 34%|███▍ | 34/100 [00:00<00:00, 312.92 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 35%|███▌ | 35/100 [00:00<00:00, 315.27 it/sec, feas=False, obj=-195]
INFO - 08:28:45: 35%|███▌ | 35/100 [00:00<00:00, 315.27 it/sec, feas=False, obj=-195]
INFO - 08:28:45: 36%|███▌ | 36/100 [00:00<00:00, 316.79 it/sec, feas=False, obj=-218]
INFO - 08:28:45: 36%|███▌ | 36/100 [00:00<00:00, 316.79 it/sec, feas=False, obj=-218]
INFO - 08:28:45: 37%|███▋ | 37/100 [00:00<00:00, 318.08 it/sec, feas=False, obj=-198]
INFO - 08:28:45: 37%|███▋ | 37/100 [00:00<00:00, 318.08 it/sec, feas=False, obj=-198]
INFO - 08:28:45: 38%|███▊ | 38/100 [00:00<00:00, 312.02 it/sec, feas=False, obj=-536]
INFO - 08:28:45: 38%|███▊ | 38/100 [00:00<00:00, 312.02 it/sec, feas=False, obj=-536]
INFO - 08:28:45: 39%|███▉ | 39/100 [00:00<00:00, 306.13 it/sec, feas=False, obj=-173]
INFO - 08:28:45: 39%|███▉ | 39/100 [00:00<00:00, 306.13 it/sec, feas=False, obj=-173]
INFO - 08:28:45: 40%|████ | 40/100 [00:00<00:00, 307.49 it/sec, feas=False, obj=-388]
INFO - 08:28:45: 40%|████ | 40/100 [00:00<00:00, 307.49 it/sec, feas=False, obj=-388]
INFO - 08:28:45: 41%|████ | 41/100 [00:00<00:00, 307.62 it/sec, feas=False, obj=-723]
INFO - 08:28:45: 41%|████ | 41/100 [00:00<00:00, 307.62 it/sec, feas=False, obj=-723]
INFO - 08:28:45: 42%|████▏ | 42/100 [00:00<00:00, 306.29 it/sec, feas=False, obj=-240]
INFO - 08:28:45: 42%|████▏ | 42/100 [00:00<00:00, 306.29 it/sec, feas=False, obj=-240]
INFO - 08:28:45: 43%|████▎ | 43/100 [00:00<00:00, 307.61 it/sec, feas=False, obj=-663]
INFO - 08:28:45: 43%|████▎ | 43/100 [00:00<00:00, 307.61 it/sec, feas=False, obj=-663]
INFO - 08:28:45: 44%|████▍ | 44/100 [00:00<00:00, 305.66 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:45: 44%|████▍ | 44/100 [00:00<00:00, 305.66 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:45: 45%|████▌ | 45/100 [00:00<00:00, 303.78 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 45%|████▌ | 45/100 [00:00<00:00, 303.78 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 46%|████▌ | 46/100 [00:00<00:00, 302.60 it/sec, feas=False, obj=-301]
INFO - 08:28:45: 46%|████▌ | 46/100 [00:00<00:00, 302.60 it/sec, feas=False, obj=-301]
INFO - 08:28:45: 47%|████▋ | 47/100 [00:00<00:00, 303.54 it/sec, feas=False, obj=-682]
INFO - 08:28:45: 47%|████▋ | 47/100 [00:00<00:00, 303.54 it/sec, feas=False, obj=-682]
INFO - 08:28:45: 48%|████▊ | 48/100 [00:00<00:00, 302.65 it/sec, feas=False, obj=-750]
INFO - 08:28:45: 48%|████▊ | 48/100 [00:00<00:00, 302.65 it/sec, feas=False, obj=-750]
INFO - 08:28:45: 49%|████▉ | 49/100 [00:00<00:00, 302.42 it/sec, feas=False, obj=-789]
INFO - 08:28:45: 49%|████▉ | 49/100 [00:00<00:00, 302.42 it/sec, feas=False, obj=-789]
INFO - 08:28:45: 50%|█████ | 50/100 [00:00<00:00, 301.80 it/sec, feas=False, obj=-395]
INFO - 08:28:45: 50%|█████ | 50/100 [00:00<00:00, 301.80 it/sec, feas=False, obj=-395]
INFO - 08:28:45: 51%|█████ | 51/100 [00:00<00:00, 300.29 it/sec, feas=False, obj=-407]
INFO - 08:28:45: 51%|█████ | 51/100 [00:00<00:00, 300.29 it/sec, feas=False, obj=-407]
INFO - 08:28:45: 52%|█████▏ | 52/100 [00:00<00:00, 299.81 it/sec, feas=False, obj=-315]
INFO - 08:28:45: 52%|█████▏ | 52/100 [00:00<00:00, 299.81 it/sec, feas=False, obj=-315]
INFO - 08:28:45: 53%|█████▎ | 53/100 [00:00<00:00, 299.52 it/sec, feas=False, obj=-337]
INFO - 08:28:45: 53%|█████▎ | 53/100 [00:00<00:00, 299.52 it/sec, feas=False, obj=-337]
INFO - 08:28:45: 54%|█████▍ | 54/100 [00:00<00:00, 298.45 it/sec, feas=False, obj=-414]
INFO - 08:28:45: 54%|█████▍ | 54/100 [00:00<00:00, 298.45 it/sec, feas=False, obj=-414]
INFO - 08:28:45: 55%|█████▌ | 55/100 [00:00<00:00, 298.79 it/sec, feas=False, obj=-240]
INFO - 08:28:45: 55%|█████▌ | 55/100 [00:00<00:00, 298.79 it/sec, feas=False, obj=-240]
INFO - 08:28:45: 56%|█████▌ | 56/100 [00:00<00:00, 300.19 it/sec, feas=False, obj=-297]
INFO - 08:28:45: 56%|█████▌ | 56/100 [00:00<00:00, 300.19 it/sec, feas=False, obj=-297]
INFO - 08:28:45: 57%|█████▋ | 57/100 [00:00<00:00, 300.82 it/sec, feas=False, obj=-442]
INFO - 08:28:45: 57%|█████▋ | 57/100 [00:00<00:00, 300.82 it/sec, feas=False, obj=-442]
INFO - 08:28:45: 58%|█████▊ | 58/100 [00:00<00:00, 301.00 it/sec, feas=True, obj=-233]
INFO - 08:28:45: 58%|█████▊ | 58/100 [00:00<00:00, 301.00 it/sec, feas=True, obj=-233]
INFO - 08:28:45: 59%|█████▉ | 59/100 [00:00<00:00, 299.26 it/sec, feas=False, obj=-519]
INFO - 08:28:45: 59%|█████▉ | 59/100 [00:00<00:00, 299.26 it/sec, feas=False, obj=-519]
INFO - 08:28:45: 60%|██████ | 60/100 [00:00<00:00, 297.59 it/sec, feas=False, obj=-920]
INFO - 08:28:45: 60%|██████ | 60/100 [00:00<00:00, 297.59 it/sec, feas=False, obj=-920]
INFO - 08:28:45: 61%|██████ | 61/100 [00:00<00:00, 296.37 it/sec, feas=False, obj=-517]
INFO - 08:28:45: 61%|██████ | 61/100 [00:00<00:00, 296.37 it/sec, feas=False, obj=-517]
INFO - 08:28:45: 62%|██████▏ | 62/100 [00:00<00:00, 297.26 it/sec, feas=False, obj=-390]
INFO - 08:28:45: 62%|██████▏ | 62/100 [00:00<00:00, 297.26 it/sec, feas=False, obj=-390]
INFO - 08:28:45: 63%|██████▎ | 63/100 [00:00<00:00, 298.02 it/sec, feas=False, obj=-434]
INFO - 08:28:45: 63%|██████▎ | 63/100 [00:00<00:00, 298.02 it/sec, feas=False, obj=-434]
INFO - 08:28:45: 64%|██████▍ | 64/100 [00:00<00:00, 298.78 it/sec, feas=False, obj=-244]
INFO - 08:28:45: 64%|██████▍ | 64/100 [00:00<00:00, 298.78 it/sec, feas=False, obj=-244]
INFO - 08:28:45: 65%|██████▌ | 65/100 [00:00<00:00, 298.06 it/sec, feas=False, obj=-192]
INFO - 08:28:45: 65%|██████▌ | 65/100 [00:00<00:00, 298.06 it/sec, feas=False, obj=-192]
INFO - 08:28:45: 66%|██████▌ | 66/100 [00:00<00:00, 298.84 it/sec, feas=False, obj=-305]
INFO - 08:28:45: 66%|██████▌ | 66/100 [00:00<00:00, 298.84 it/sec, feas=False, obj=-305]
INFO - 08:28:45: 67%|██████▋ | 67/100 [00:00<00:00, 297.26 it/sec, feas=False, obj=-393]
INFO - 08:28:45: 67%|██████▋ | 67/100 [00:00<00:00, 297.26 it/sec, feas=False, obj=-393]
INFO - 08:28:45: 68%|██████▊ | 68/100 [00:00<00:00, 296.62 it/sec, feas=False, obj=-307]
INFO - 08:28:45: 68%|██████▊ | 68/100 [00:00<00:00, 296.62 it/sec, feas=False, obj=-307]
INFO - 08:28:45: 69%|██████▉ | 69/100 [00:00<00:00, 296.76 it/sec, feas=False, obj=-328]
INFO - 08:28:45: 69%|██████▉ | 69/100 [00:00<00:00, 296.76 it/sec, feas=False, obj=-328]
INFO - 08:28:45: 70%|███████ | 70/100 [00:00<00:00, 296.81 it/sec, feas=False, obj=-998]
INFO - 08:28:45: 70%|███████ | 70/100 [00:00<00:00, 296.81 it/sec, feas=False, obj=-998]
INFO - 08:28:45: 71%|███████ | 71/100 [00:00<00:00, 296.55 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:45: 71%|███████ | 71/100 [00:00<00:00, 296.55 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:45: 72%|███████▏ | 72/100 [00:00<00:00, 296.70 it/sec, feas=False, obj=-707]
INFO - 08:28:45: 72%|███████▏ | 72/100 [00:00<00:00, 296.70 it/sec, feas=False, obj=-707]
INFO - 08:28:45: 73%|███████▎ | 73/100 [00:00<00:00, 297.84 it/sec, feas=False, obj=-897]
INFO - 08:28:45: 73%|███████▎ | 73/100 [00:00<00:00, 297.84 it/sec, feas=False, obj=-897]
INFO - 08:28:45: 74%|███████▍ | 74/100 [00:00<00:00, 299.04 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:45: 74%|███████▍ | 74/100 [00:00<00:00, 299.04 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:45: 75%|███████▌ | 75/100 [00:00<00:00, 299.87 it/sec, feas=False, obj=-853]
INFO - 08:28:45: 75%|███████▌ | 75/100 [00:00<00:00, 299.87 it/sec, feas=False, obj=-853]
INFO - 08:28:45: 76%|███████▌ | 76/100 [00:00<00:00, 300.99 it/sec, feas=False, obj=-217]
INFO - 08:28:45: 76%|███████▌ | 76/100 [00:00<00:00, 300.99 it/sec, feas=False, obj=-217]
INFO - 08:28:45: 77%|███████▋ | 77/100 [00:00<00:00, 300.35 it/sec, feas=False, obj=-370]
INFO - 08:28:45: 77%|███████▋ | 77/100 [00:00<00:00, 300.35 it/sec, feas=False, obj=-370]
INFO - 08:28:45: 78%|███████▊ | 78/100 [00:00<00:00, 300.65 it/sec, feas=False, obj=-636]
INFO - 08:28:45: 78%|███████▊ | 78/100 [00:00<00:00, 300.65 it/sec, feas=False, obj=-636]
INFO - 08:28:45: 79%|███████▉ | 79/100 [00:00<00:00, 301.35 it/sec, feas=False, obj=-337]
INFO - 08:28:45: 79%|███████▉ | 79/100 [00:00<00:00, 301.35 it/sec, feas=False, obj=-337]
INFO - 08:28:45: 80%|████████ | 80/100 [00:00<00:00, 301.79 it/sec, feas=False, obj=-804]
INFO - 08:28:45: 80%|████████ | 80/100 [00:00<00:00, 301.79 it/sec, feas=False, obj=-804]
INFO - 08:28:45: 81%|████████ | 81/100 [00:00<00:00, 302.22 it/sec, feas=False, obj=-318]
INFO - 08:28:45: 81%|████████ | 81/100 [00:00<00:00, 302.22 it/sec, feas=False, obj=-318]
INFO - 08:28:45: 82%|████████▏ | 82/100 [00:00<00:00, 302.68 it/sec, feas=False, obj=-253]
INFO - 08:28:45: 82%|████████▏ | 82/100 [00:00<00:00, 302.68 it/sec, feas=False, obj=-253]
INFO - 08:28:45: 83%|████████▎ | 83/100 [00:00<00:00, 302.42 it/sec, feas=False, obj=-590]
INFO - 08:28:45: 83%|████████▎ | 83/100 [00:00<00:00, 302.42 it/sec, feas=False, obj=-590]
INFO - 08:28:45: 84%|████████▍ | 84/100 [00:00<00:00, 301.33 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 84%|████████▍ | 84/100 [00:00<00:00, 301.33 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 85%|████████▌ | 85/100 [00:00<00:00, 299.72 it/sec, feas=False, obj=-642]
INFO - 08:28:45: 85%|████████▌ | 85/100 [00:00<00:00, 299.72 it/sec, feas=False, obj=-642]
INFO - 08:28:45: 86%|████████▌ | 86/100 [00:00<00:00, 301.07 it/sec, feas=False, obj=-381]
INFO - 08:28:45: 86%|████████▌ | 86/100 [00:00<00:00, 301.07 it/sec, feas=False, obj=-381]
INFO - 08:28:45: 87%|████████▋ | 87/100 [00:00<00:00, 300.59 it/sec, feas=False, obj=-447]
INFO - 08:28:45: 87%|████████▋ | 87/100 [00:00<00:00, 300.59 it/sec, feas=False, obj=-447]
INFO - 08:28:45: 88%|████████▊ | 88/100 [00:00<00:00, 300.08 it/sec, feas=False, obj=-707]
INFO - 08:28:45: 88%|████████▊ | 88/100 [00:00<00:00, 300.08 it/sec, feas=False, obj=-707]
INFO - 08:28:45: 89%|████████▉ | 89/100 [00:00<00:00, 301.02 it/sec, feas=False, obj=-384]
INFO - 08:28:45: 89%|████████▉ | 89/100 [00:00<00:00, 301.02 it/sec, feas=False, obj=-384]
INFO - 08:28:45: 90%|█████████ | 90/100 [00:00<00:00, 301.67 it/sec, feas=False, obj=-491]
INFO - 08:28:45: 90%|█████████ | 90/100 [00:00<00:00, 301.67 it/sec, feas=False, obj=-491]
INFO - 08:28:45: 91%|█████████ | 91/100 [00:00<00:00, 301.78 it/sec, feas=False, obj=-285]
INFO - 08:28:45: 91%|█████████ | 91/100 [00:00<00:00, 301.78 it/sec, feas=False, obj=-285]
INFO - 08:28:45: 92%|█████████▏| 92/100 [00:00<00:00, 301.63 it/sec, feas=False, obj=-433]
INFO - 08:28:45: 92%|█████████▏| 92/100 [00:00<00:00, 301.63 it/sec, feas=False, obj=-433]
INFO - 08:28:45: 93%|█████████▎| 93/100 [00:00<00:00, 301.08 it/sec, feas=False, obj=-377]
INFO - 08:28:45: 93%|█████████▎| 93/100 [00:00<00:00, 301.08 it/sec, feas=False, obj=-377]
INFO - 08:28:45: 94%|█████████▍| 94/100 [00:00<00:00, 301.07 it/sec, feas=False, obj=-827]
INFO - 08:28:45: 94%|█████████▍| 94/100 [00:00<00:00, 301.07 it/sec, feas=False, obj=-827]
INFO - 08:28:45: 95%|█████████▌| 95/100 [00:00<00:00, 299.40 it/sec, feas=False, obj=-712]
INFO - 08:28:45: 95%|█████████▌| 95/100 [00:00<00:00, 299.40 it/sec, feas=False, obj=-712]
INFO - 08:28:45: 96%|█████████▌| 96/100 [00:00<00:00, 299.92 it/sec, feas=False, obj=-245]
INFO - 08:28:45: 96%|█████████▌| 96/100 [00:00<00:00, 299.92 it/sec, feas=False, obj=-245]
INFO - 08:28:45: 97%|█████████▋| 97/100 [00:00<00:00, 300.54 it/sec, feas=False, obj=-502]
INFO - 08:28:45: 97%|█████████▋| 97/100 [00:00<00:00, 300.54 it/sec, feas=False, obj=-502]
INFO - 08:28:45: 98%|█████████▊| 98/100 [00:00<00:00, 300.06 it/sec, feas=False, obj=-309]
INFO - 08:28:45: 98%|█████████▊| 98/100 [00:00<00:00, 300.06 it/sec, feas=False, obj=-309]
INFO - 08:28:45: 99%|█████████▉| 99/100 [00:00<00:00, 300.22 it/sec, feas=False, obj=-971]
INFO - 08:28:45: 99%|█████████▉| 99/100 [00:00<00:00, 300.22 it/sec, feas=False, obj=-971]
INFO - 08:28:45: 100%|██████████| 100/100 [00:00<00:00, 298.37 it/sec, feas=False, obj=-649]
INFO - 08:28:45: 100%|██████████| 100/100 [00:00<00:00, 298.37 it/sec, feas=False, obj=-649]
INFO - 08:28:45: Optimization result:
INFO - 08:28:45: Optimizer info:
INFO - 08:28:45: Status: None
INFO - 08:28:45: Message: None
INFO - 08:28:45: Solution:
INFO - 08:28:45: Optimization result:
INFO - 08:28:45: Optimizer info:
INFO - 08:28:45: Status: None
INFO - 08:28:45: Message: None
INFO - 08:28:45: Solution:
INFO - 08:28:45: The solution is feasible.
INFO - 08:28:45: The solution is feasible.
INFO - 08:28:45: Objective: -659.1818108437288
INFO - 08:28:45: Standardized constraints:
INFO - 08:28:45: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:45: -0.19803381]
INFO - 08:28:45: g_2 = -0.007088218675791014
INFO - 08:28:45: g_3 = [-0.43705892 -0.56294108 -0.64490518 -0.08117258]
INFO - 08:28:45: Objective: -659.1818108437288
INFO - 08:28:45: Standardized constraints:
INFO - 08:28:45: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:45: -0.19803381]
INFO - 08:28:45: g_2 = -0.007088218675791014
INFO - 08:28:45: g_3 = [-0.43705892 -0.56294108 -0.64490518 -0.08117258]
INFO - 08:28:45: Design space:
INFO - 08:28:45: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:45: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:45: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:45: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:45: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:45: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:45: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:45: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:45: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:45: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:45: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:45: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:45: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:45: Design space:
INFO - 08:28:45: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:45: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:45: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:45: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:45: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:45: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:45: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:45: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:45: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:45: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:45: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:45: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:45: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:45: *** End DOEScenario execution ***
INFO - 08:28:45: *** End DOEScenario execution ***
Solve the Sobieski's SSBJ problem with NumPy¶
doe_scenario = DOEScenario(
[
SobieskiStructure(),
SobieskiAerodynamics(),
SobieskiPropulsion(),
SobieskiMission(),
],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
main_mda_settings={"inner_mda_name": "MDAGaussSeidel"},
)
doe_scenario.add_constraint("g_1", "ineq")
doe_scenario.add_constraint("g_2", "ineq")
doe_scenario.add_constraint("g_3", "ineq")
doe_scenario.execute(algo_name="OT_OPT_LHS", n_samples=100)
Out:
INFO - 08:28:45: *** Start DOEScenario execution ***
INFO - 08:28:45: *** Start DOEScenario execution ***
INFO - 08:28:45: DOEScenario
INFO - 08:28:45: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:45: MDO formulation: MDF
INFO - 08:28:45: DOEScenario
INFO - 08:28:45: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:45: MDO formulation: MDF
INFO - 08:28:45: Optimization problem:
INFO - 08:28:45: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:45: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:45: under the inequality constraints
INFO - 08:28:45: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: Optimization problem:
INFO - 08:28:45: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:45: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:45: under the inequality constraints
INFO - 08:28:45: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:45: over the design space:
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:45: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:45: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:45: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:45: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:45: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:45: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:45: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: over the design space:
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:45: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:45: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:45: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:45: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:45: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:45: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:45: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:45: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:45: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:45: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:45: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 08:28:45: 1%| | 1/100 [00:00<00:00, 234.45 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:45: 1%| | 1/100 [00:00<00:00, 234.45 it/sec, feas=False, obj=-1.25e+3]
INFO - 08:28:45: 2%|▏ | 2/100 [00:00<00:00, 243.52 it/sec, feas=False, obj=-303]
INFO - 08:28:45: 2%|▏ | 2/100 [00:00<00:00, 243.52 it/sec, feas=False, obj=-303]
INFO - 08:28:45: 3%|▎ | 3/100 [00:00<00:00, 174.69 it/sec, feas=False, obj=-447]
INFO - 08:28:45: 3%|▎ | 3/100 [00:00<00:00, 174.69 it/sec, feas=False, obj=-447]
INFO - 08:28:45: 4%|▍ | 4/100 [00:00<00:00, 184.86 it/sec, feas=False, obj=-444]
INFO - 08:28:45: 4%|▍ | 4/100 [00:00<00:00, 184.86 it/sec, feas=False, obj=-444]
INFO - 08:28:45: 5%|▌ | 5/100 [00:00<00:00, 194.63 it/sec, feas=False, obj=-804]
INFO - 08:28:45: 5%|▌ | 5/100 [00:00<00:00, 194.63 it/sec, feas=False, obj=-804]
INFO - 08:28:45: 6%|▌ | 6/100 [00:00<00:00, 195.35 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 6%|▌ | 6/100 [00:00<00:00, 195.35 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 7%|▋ | 7/100 [00:00<00:00, 196.97 it/sec, feas=False, obj=-701]
INFO - 08:28:45: 7%|▋ | 7/100 [00:00<00:00, 196.97 it/sec, feas=False, obj=-701]
INFO - 08:28:45: 8%|▊ | 8/100 [00:00<00:00, 193.34 it/sec, feas=False, obj=-253]
INFO - 08:28:45: 8%|▊ | 8/100 [00:00<00:00, 193.34 it/sec, feas=False, obj=-253]
INFO - 08:28:45: 9%|▉ | 9/100 [00:00<00:00, 201.17 it/sec, feas=False, obj=-773]
INFO - 08:28:45: 9%|▉ | 9/100 [00:00<00:00, 201.17 it/sec, feas=False, obj=-773]
INFO - 08:28:45: 10%|█ | 10/100 [00:00<00:00, 203.60 it/sec, feas=False, obj=-448]
INFO - 08:28:45: 10%|█ | 10/100 [00:00<00:00, 203.60 it/sec, feas=False, obj=-448]
INFO - 08:28:45: 11%|█ | 11/100 [00:00<00:00, 201.88 it/sec, feas=True, obj=-659]
INFO - 08:28:45: 11%|█ | 11/100 [00:00<00:00, 201.88 it/sec, feas=True, obj=-659]
INFO - 08:28:45: 12%|█▏ | 12/100 [00:00<00:00, 202.29 it/sec, feas=False, obj=-282]
INFO - 08:28:45: 12%|█▏ | 12/100 [00:00<00:00, 202.29 it/sec, feas=False, obj=-282]
INFO - 08:28:45: 13%|█▎ | 13/100 [00:00<00:00, 205.68 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 13%|█▎ | 13/100 [00:00<00:00, 205.68 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 14%|█▍ | 14/100 [00:00<00:00, 207.34 it/sec, feas=False, obj=-379]
INFO - 08:28:45: 14%|█▍ | 14/100 [00:00<00:00, 207.34 it/sec, feas=False, obj=-379]
INFO - 08:28:45: 15%|█▌ | 15/100 [00:00<00:00, 205.24 it/sec, feas=False, obj=-196]
INFO - 08:28:45: 15%|█▌ | 15/100 [00:00<00:00, 205.24 it/sec, feas=False, obj=-196]
INFO - 08:28:45: 16%|█▌ | 16/100 [00:00<00:00, 201.17 it/sec, feas=False, obj=-647]
INFO - 08:28:45: 16%|█▌ | 16/100 [00:00<00:00, 201.17 it/sec, feas=False, obj=-647]
INFO - 08:28:45: 17%|█▋ | 17/100 [00:00<00:00, 196.18 it/sec, feas=False, obj=-238]
INFO - 08:28:45: 17%|█▋ | 17/100 [00:00<00:00, 196.18 it/sec, feas=False, obj=-238]
INFO - 08:28:45: 18%|█▊ | 18/100 [00:00<00:00, 197.55 it/sec, feas=False, obj=-304]
INFO - 08:28:45: 18%|█▊ | 18/100 [00:00<00:00, 197.55 it/sec, feas=False, obj=-304]
INFO - 08:28:45: 19%|█▉ | 19/100 [00:00<00:00, 196.97 it/sec, feas=False, obj=-372]
INFO - 08:28:45: 19%|█▉ | 19/100 [00:00<00:00, 196.97 it/sec, feas=False, obj=-372]
INFO - 08:28:45: 20%|██ | 20/100 [00:00<00:00, 200.32 it/sec, feas=False, obj=-699]
INFO - 08:28:45: 20%|██ | 20/100 [00:00<00:00, 200.32 it/sec, feas=False, obj=-699]
INFO - 08:28:45: 21%|██ | 21/100 [00:00<00:00, 200.00 it/sec, feas=False, obj=-873]
INFO - 08:28:45: 21%|██ | 21/100 [00:00<00:00, 200.00 it/sec, feas=False, obj=-873]
INFO - 08:28:45: 22%|██▏ | 22/100 [00:00<00:00, 198.26 it/sec, feas=False, obj=-489]
INFO - 08:28:45: 22%|██▏ | 22/100 [00:00<00:00, 198.26 it/sec, feas=False, obj=-489]
INFO - 08:28:45: 23%|██▎ | 23/100 [00:00<00:00, 195.79 it/sec, feas=False, obj=-623]
INFO - 08:28:45: 23%|██▎ | 23/100 [00:00<00:00, 195.79 it/sec, feas=False, obj=-623]
INFO - 08:28:45: 24%|██▍ | 24/100 [00:00<00:00, 197.64 it/sec, feas=False, obj=-262]
INFO - 08:28:45: 24%|██▍ | 24/100 [00:00<00:00, 197.64 it/sec, feas=False, obj=-262]
INFO - 08:28:45: 25%|██▌ | 25/100 [00:00<00:00, 200.30 it/sec, feas=False, obj=-345]
INFO - 08:28:45: 25%|██▌ | 25/100 [00:00<00:00, 200.30 it/sec, feas=False, obj=-345]
INFO - 08:28:45: 26%|██▌ | 26/100 [00:00<00:00, 198.25 it/sec, feas=False, obj=-377]
INFO - 08:28:45: 26%|██▌ | 26/100 [00:00<00:00, 198.25 it/sec, feas=False, obj=-377]
INFO - 08:28:45: 27%|██▋ | 27/100 [00:00<00:00, 197.07 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 27%|██▋ | 27/100 [00:00<00:00, 197.07 it/sec, feas=False, obj=-387]
INFO - 08:28:45: 28%|██▊ | 28/100 [00:00<00:00, 192.34 it/sec, feas=False, obj=-334]
INFO - 08:28:45: 28%|██▊ | 28/100 [00:00<00:00, 192.34 it/sec, feas=False, obj=-334]
INFO - 08:28:45: 29%|██▉ | 29/100 [00:00<00:00, 194.66 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 29%|██▉ | 29/100 [00:00<00:00, 194.66 it/sec, feas=False, obj=-438]
INFO - 08:28:45: 30%|███ | 30/100 [00:00<00:00, 196.26 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:45: 30%|███ | 30/100 [00:00<00:00, 196.26 it/sec, feas=False, obj=-1.94e+3]
INFO - 08:28:45: 31%|███ | 31/100 [00:00<00:00, 194.56 it/sec, feas=False, obj=-733]
INFO - 08:28:45: 31%|███ | 31/100 [00:00<00:00, 194.56 it/sec, feas=False, obj=-733]
INFO - 08:28:45: 32%|███▏ | 32/100 [00:00<00:00, 195.55 it/sec, feas=False, obj=-774]
INFO - 08:28:45: 32%|███▏ | 32/100 [00:00<00:00, 195.55 it/sec, feas=False, obj=-774]
INFO - 08:28:45: 33%|███▎ | 33/100 [00:00<00:00, 195.35 it/sec, feas=False, obj=-517]
INFO - 08:28:45: 33%|███▎ | 33/100 [00:00<00:00, 195.35 it/sec, feas=False, obj=-517]
INFO - 08:28:45: 34%|███▍ | 34/100 [00:00<00:00, 196.14 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 34%|███▍ | 34/100 [00:00<00:00, 196.14 it/sec, feas=False, obj=-232]
INFO - 08:28:45: 35%|███▌ | 35/100 [00:00<00:00, 197.50 it/sec, feas=False, obj=-195]
INFO - 08:28:45: 35%|███▌ | 35/100 [00:00<00:00, 197.50 it/sec, feas=False, obj=-195]
INFO - 08:28:45: 36%|███▌ | 36/100 [00:00<00:00, 198.28 it/sec, feas=False, obj=-218]
INFO - 08:28:45: 36%|███▌ | 36/100 [00:00<00:00, 198.28 it/sec, feas=False, obj=-218]
INFO - 08:28:45: 37%|███▋ | 37/100 [00:00<00:00, 200.12 it/sec, feas=False, obj=-198]
INFO - 08:28:45: 37%|███▋ | 37/100 [00:00<00:00, 200.12 it/sec, feas=False, obj=-198]
INFO - 08:28:46: 38%|███▊ | 38/100 [00:00<00:00, 195.39 it/sec, feas=False, obj=-536]
INFO - 08:28:46: 38%|███▊ | 38/100 [00:00<00:00, 195.39 it/sec, feas=False, obj=-536]
INFO - 08:28:46: 39%|███▉ | 39/100 [00:00<00:00, 191.16 it/sec, feas=False, obj=-173]
INFO - 08:28:46: 39%|███▉ | 39/100 [00:00<00:00, 191.16 it/sec, feas=False, obj=-173]
INFO - 08:28:46: 40%|████ | 40/100 [00:00<00:00, 191.90 it/sec, feas=False, obj=-388]
INFO - 08:28:46: 40%|████ | 40/100 [00:00<00:00, 191.90 it/sec, feas=False, obj=-388]
INFO - 08:28:46: 41%|████ | 41/100 [00:00<00:00, 191.47 it/sec, feas=False, obj=-723]
INFO - 08:28:46: 41%|████ | 41/100 [00:00<00:00, 191.47 it/sec, feas=False, obj=-723]
INFO - 08:28:46: 42%|████▏ | 42/100 [00:00<00:00, 190.36 it/sec, feas=False, obj=-240]
INFO - 08:28:46: 42%|████▏ | 42/100 [00:00<00:00, 190.36 it/sec, feas=False, obj=-240]
INFO - 08:28:46: 43%|████▎ | 43/100 [00:00<00:00, 190.99 it/sec, feas=False, obj=-663]
INFO - 08:28:46: 43%|████▎ | 43/100 [00:00<00:00, 190.99 it/sec, feas=False, obj=-663]
INFO - 08:28:46: 44%|████▍ | 44/100 [00:00<00:00, 189.56 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:46: 44%|████▍ | 44/100 [00:00<00:00, 189.56 it/sec, feas=False, obj=-1.14e+3]
INFO - 08:28:46: 45%|████▌ | 45/100 [00:00<00:00, 188.22 it/sec, feas=False, obj=-438]
INFO - 08:28:46: 45%|████▌ | 45/100 [00:00<00:00, 188.22 it/sec, feas=False, obj=-438]
INFO - 08:28:46: 46%|████▌ | 46/100 [00:00<00:00, 187.28 it/sec, feas=False, obj=-301]
INFO - 08:28:46: 46%|████▌ | 46/100 [00:00<00:00, 187.28 it/sec, feas=False, obj=-301]
INFO - 08:28:46: 47%|████▋ | 47/100 [00:00<00:00, 187.86 it/sec, feas=False, obj=-682]
INFO - 08:28:46: 47%|████▋ | 47/100 [00:00<00:00, 187.86 it/sec, feas=False, obj=-682]
INFO - 08:28:46: 48%|████▊ | 48/100 [00:00<00:00, 187.25 it/sec, feas=False, obj=-750]
INFO - 08:28:46: 48%|████▊ | 48/100 [00:00<00:00, 187.25 it/sec, feas=False, obj=-750]
INFO - 08:28:46: 49%|████▉ | 49/100 [00:00<00:00, 187.12 it/sec, feas=False, obj=-789]
INFO - 08:28:46: 49%|████▉ | 49/100 [00:00<00:00, 187.12 it/sec, feas=False, obj=-789]
INFO - 08:28:46: 50%|█████ | 50/100 [00:00<00:00, 186.55 it/sec, feas=False, obj=-395]
INFO - 08:28:46: 50%|█████ | 50/100 [00:00<00:00, 186.55 it/sec, feas=False, obj=-395]
INFO - 08:28:46: 51%|█████ | 51/100 [00:00<00:00, 185.24 it/sec, feas=False, obj=-407]
INFO - 08:28:46: 51%|█████ | 51/100 [00:00<00:00, 185.24 it/sec, feas=False, obj=-407]
INFO - 08:28:46: 52%|█████▏ | 52/100 [00:00<00:00, 184.83 it/sec, feas=False, obj=-315]
INFO - 08:28:46: 52%|█████▏ | 52/100 [00:00<00:00, 184.83 it/sec, feas=False, obj=-315]
INFO - 08:28:46: 53%|█████▎ | 53/100 [00:00<00:00, 184.68 it/sec, feas=False, obj=-337]
INFO - 08:28:46: 53%|█████▎ | 53/100 [00:00<00:00, 184.68 it/sec, feas=False, obj=-337]
INFO - 08:28:46: 54%|█████▍ | 54/100 [00:00<00:00, 183.85 it/sec, feas=False, obj=-414]
INFO - 08:28:46: 54%|█████▍ | 54/100 [00:00<00:00, 183.85 it/sec, feas=False, obj=-414]
INFO - 08:28:46: 55%|█████▌ | 55/100 [00:00<00:00, 184.39 it/sec, feas=False, obj=-240]
INFO - 08:28:46: 55%|█████▌ | 55/100 [00:00<00:00, 184.39 it/sec, feas=False, obj=-240]
INFO - 08:28:46: 56%|█████▌ | 56/100 [00:00<00:00, 185.25 it/sec, feas=False, obj=-297]
INFO - 08:28:46: 56%|█████▌ | 56/100 [00:00<00:00, 185.25 it/sec, feas=False, obj=-297]
INFO - 08:28:46: 57%|█████▋ | 57/100 [00:00<00:00, 185.47 it/sec, feas=False, obj=-442]
INFO - 08:28:46: 57%|█████▋ | 57/100 [00:00<00:00, 185.47 it/sec, feas=False, obj=-442]
INFO - 08:28:46: 58%|█████▊ | 58/100 [00:00<00:00, 185.70 it/sec, feas=True, obj=-233]
INFO - 08:28:46: 58%|█████▊ | 58/100 [00:00<00:00, 185.70 it/sec, feas=True, obj=-233]
INFO - 08:28:46: 59%|█████▉ | 59/100 [00:00<00:00, 184.78 it/sec, feas=False, obj=-519]
INFO - 08:28:46: 59%|█████▉ | 59/100 [00:00<00:00, 184.78 it/sec, feas=False, obj=-519]
INFO - 08:28:46: 60%|██████ | 60/100 [00:00<00:00, 183.57 it/sec, feas=False, obj=-920]
INFO - 08:28:46: 60%|██████ | 60/100 [00:00<00:00, 183.57 it/sec, feas=False, obj=-920]
INFO - 08:28:46: 61%|██████ | 61/100 [00:00<00:00, 182.97 it/sec, feas=False, obj=-517]
INFO - 08:28:46: 61%|██████ | 61/100 [00:00<00:00, 182.97 it/sec, feas=False, obj=-517]
INFO - 08:28:46: 62%|██████▏ | 62/100 [00:00<00:00, 183.51 it/sec, feas=False, obj=-390]
INFO - 08:28:46: 62%|██████▏ | 62/100 [00:00<00:00, 183.51 it/sec, feas=False, obj=-390]
INFO - 08:28:46: 63%|██████▎ | 63/100 [00:00<00:00, 184.00 it/sec, feas=False, obj=-434]
INFO - 08:28:46: 63%|██████▎ | 63/100 [00:00<00:00, 184.00 it/sec, feas=False, obj=-434]
INFO - 08:28:46: 64%|██████▍ | 64/100 [00:00<00:00, 184.53 it/sec, feas=False, obj=-244]
INFO - 08:28:46: 64%|██████▍ | 64/100 [00:00<00:00, 184.53 it/sec, feas=False, obj=-244]
INFO - 08:28:46: 65%|██████▌ | 65/100 [00:00<00:00, 183.99 it/sec, feas=False, obj=-192]
INFO - 08:28:46: 65%|██████▌ | 65/100 [00:00<00:00, 183.99 it/sec, feas=False, obj=-192]
INFO - 08:28:46: 66%|██████▌ | 66/100 [00:00<00:00, 184.27 it/sec, feas=False, obj=-305]
INFO - 08:28:46: 66%|██████▌ | 66/100 [00:00<00:00, 184.27 it/sec, feas=False, obj=-305]
INFO - 08:28:46: 67%|██████▋ | 67/100 [00:00<00:00, 183.31 it/sec, feas=False, obj=-393]
INFO - 08:28:46: 67%|██████▋ | 67/100 [00:00<00:00, 183.31 it/sec, feas=False, obj=-393]
INFO - 08:28:46: 68%|██████▊ | 68/100 [00:00<00:00, 182.81 it/sec, feas=False, obj=-307]
INFO - 08:28:46: 68%|██████▊ | 68/100 [00:00<00:00, 182.81 it/sec, feas=False, obj=-307]
INFO - 08:28:46: 69%|██████▉ | 69/100 [00:00<00:00, 182.83 it/sec, feas=False, obj=-328]
INFO - 08:28:46: 69%|██████▉ | 69/100 [00:00<00:00, 182.83 it/sec, feas=False, obj=-328]
INFO - 08:28:46: 70%|███████ | 70/100 [00:00<00:00, 182.80 it/sec, feas=False, obj=-998]
INFO - 08:28:46: 70%|███████ | 70/100 [00:00<00:00, 182.80 it/sec, feas=False, obj=-998]
INFO - 08:28:46: 71%|███████ | 71/100 [00:00<00:00, 182.56 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:46: 71%|███████ | 71/100 [00:00<00:00, 182.56 it/sec, feas=False, obj=-1.06e+3]
INFO - 08:28:46: 72%|███████▏ | 72/100 [00:00<00:00, 182.80 it/sec, feas=False, obj=-707]
INFO - 08:28:46: 72%|███████▏ | 72/100 [00:00<00:00, 182.80 it/sec, feas=False, obj=-707]
INFO - 08:28:46: 73%|███████▎ | 73/100 [00:00<00:00, 183.53 it/sec, feas=False, obj=-897]
INFO - 08:28:46: 73%|███████▎ | 73/100 [00:00<00:00, 183.53 it/sec, feas=False, obj=-897]
INFO - 08:28:46: 74%|███████▍ | 74/100 [00:00<00:00, 184.51 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:46: 74%|███████▍ | 74/100 [00:00<00:00, 184.51 it/sec, feas=False, obj=-1.36e+3]
INFO - 08:28:46: 75%|███████▌ | 75/100 [00:00<00:00, 184.99 it/sec, feas=False, obj=-853]
INFO - 08:28:46: 75%|███████▌ | 75/100 [00:00<00:00, 184.99 it/sec, feas=False, obj=-853]
INFO - 08:28:46: 76%|███████▌ | 76/100 [00:00<00:00, 185.64 it/sec, feas=False, obj=-217]
INFO - 08:28:46: 76%|███████▌ | 76/100 [00:00<00:00, 185.64 it/sec, feas=False, obj=-217]
INFO - 08:28:46: 77%|███████▋ | 77/100 [00:00<00:00, 185.06 it/sec, feas=False, obj=-370]
INFO - 08:28:46: 77%|███████▋ | 77/100 [00:00<00:00, 185.06 it/sec, feas=False, obj=-370]
INFO - 08:28:46: 78%|███████▊ | 78/100 [00:00<00:00, 185.28 it/sec, feas=False, obj=-636]
INFO - 08:28:46: 78%|███████▊ | 78/100 [00:00<00:00, 185.28 it/sec, feas=False, obj=-636]
INFO - 08:28:46: 79%|███████▉ | 79/100 [00:00<00:00, 185.70 it/sec, feas=False, obj=-337]
INFO - 08:28:46: 79%|███████▉ | 79/100 [00:00<00:00, 185.70 it/sec, feas=False, obj=-337]
INFO - 08:28:46: 80%|████████ | 80/100 [00:00<00:00, 185.86 it/sec, feas=False, obj=-804]
INFO - 08:28:46: 80%|████████ | 80/100 [00:00<00:00, 185.86 it/sec, feas=False, obj=-804]
INFO - 08:28:46: 81%|████████ | 81/100 [00:00<00:00, 186.31 it/sec, feas=False, obj=-318]
INFO - 08:28:46: 81%|████████ | 81/100 [00:00<00:00, 186.31 it/sec, feas=False, obj=-318]
INFO - 08:28:46: 82%|████████▏ | 82/100 [00:00<00:00, 186.73 it/sec, feas=False, obj=-253]
INFO - 08:28:46: 82%|████████▏ | 82/100 [00:00<00:00, 186.73 it/sec, feas=False, obj=-253]
INFO - 08:28:46: 83%|████████▎ | 83/100 [00:00<00:00, 186.68 it/sec, feas=False, obj=-590]
INFO - 08:28:46: 83%|████████▎ | 83/100 [00:00<00:00, 186.68 it/sec, feas=False, obj=-590]
INFO - 08:28:46: 84%|████████▍ | 84/100 [00:00<00:00, 185.75 it/sec, feas=False, obj=-438]
INFO - 08:28:46: 84%|████████▍ | 84/100 [00:00<00:00, 185.75 it/sec, feas=False, obj=-438]
INFO - 08:28:46: 85%|████████▌ | 85/100 [00:00<00:00, 184.47 it/sec, feas=False, obj=-642]
INFO - 08:28:46: 85%|████████▌ | 85/100 [00:00<00:00, 184.47 it/sec, feas=False, obj=-642]
INFO - 08:28:46: 86%|████████▌ | 86/100 [00:00<00:00, 185.48 it/sec, feas=False, obj=-381]
INFO - 08:28:46: 86%|████████▌ | 86/100 [00:00<00:00, 185.48 it/sec, feas=False, obj=-381]
INFO - 08:28:46: 87%|████████▋ | 87/100 [00:00<00:00, 185.04 it/sec, feas=False, obj=-447]
INFO - 08:28:46: 87%|████████▋ | 87/100 [00:00<00:00, 185.04 it/sec, feas=False, obj=-447]
INFO - 08:28:46: 88%|████████▊ | 88/100 [00:00<00:00, 184.59 it/sec, feas=False, obj=-707]
INFO - 08:28:46: 88%|████████▊ | 88/100 [00:00<00:00, 184.59 it/sec, feas=False, obj=-707]
INFO - 08:28:46: 89%|████████▉ | 89/100 [00:00<00:00, 185.17 it/sec, feas=False, obj=-384]
INFO - 08:28:46: 89%|████████▉ | 89/100 [00:00<00:00, 185.17 it/sec, feas=False, obj=-384]
INFO - 08:28:46: 90%|█████████ | 90/100 [00:00<00:00, 185.55 it/sec, feas=False, obj=-491]
INFO - 08:28:46: 90%|█████████ | 90/100 [00:00<00:00, 185.55 it/sec, feas=False, obj=-491]
INFO - 08:28:46: 91%|█████████ | 91/100 [00:00<00:00, 185.53 it/sec, feas=False, obj=-285]
INFO - 08:28:46: 91%|█████████ | 91/100 [00:00<00:00, 185.53 it/sec, feas=False, obj=-285]
INFO - 08:28:46: 92%|█████████▏| 92/100 [00:00<00:00, 185.33 it/sec, feas=False, obj=-433]
INFO - 08:28:46: 92%|█████████▏| 92/100 [00:00<00:00, 185.33 it/sec, feas=False, obj=-433]
INFO - 08:28:46: 93%|█████████▎| 93/100 [00:00<00:00, 184.85 it/sec, feas=False, obj=-377]
INFO - 08:28:46: 93%|█████████▎| 93/100 [00:00<00:00, 184.85 it/sec, feas=False, obj=-377]
INFO - 08:28:46: 94%|█████████▍| 94/100 [00:00<00:00, 184.81 it/sec, feas=False, obj=-827]
INFO - 08:28:46: 94%|█████████▍| 94/100 [00:00<00:00, 184.81 it/sec, feas=False, obj=-827]
INFO - 08:28:46: 95%|█████████▌| 95/100 [00:00<00:00, 183.69 it/sec, feas=False, obj=-712]
INFO - 08:28:46: 95%|█████████▌| 95/100 [00:00<00:00, 183.69 it/sec, feas=False, obj=-712]
INFO - 08:28:46: 96%|█████████▌| 96/100 [00:00<00:00, 184.03 it/sec, feas=False, obj=-245]
INFO - 08:28:46: 96%|█████████▌| 96/100 [00:00<00:00, 184.03 it/sec, feas=False, obj=-245]
INFO - 08:28:46: 97%|█████████▋| 97/100 [00:00<00:00, 184.35 it/sec, feas=False, obj=-502]
INFO - 08:28:46: 97%|█████████▋| 97/100 [00:00<00:00, 184.35 it/sec, feas=False, obj=-502]
INFO - 08:28:46: 98%|█████████▊| 98/100 [00:00<00:00, 183.99 it/sec, feas=False, obj=-309]
INFO - 08:28:46: 98%|█████████▊| 98/100 [00:00<00:00, 183.99 it/sec, feas=False, obj=-309]
INFO - 08:28:46: 99%|█████████▉| 99/100 [00:00<00:00, 184.18 it/sec, feas=False, obj=-971]
INFO - 08:28:46: 99%|█████████▉| 99/100 [00:00<00:00, 184.18 it/sec, feas=False, obj=-971]
INFO - 08:28:46: 100%|██████████| 100/100 [00:00<00:00, 183.05 it/sec, feas=False, obj=-649]
INFO - 08:28:46: 100%|██████████| 100/100 [00:00<00:00, 183.05 it/sec, feas=False, obj=-649]
INFO - 08:28:46: Optimization result:
INFO - 08:28:46: Optimizer info:
INFO - 08:28:46: Status: None
INFO - 08:28:46: Message: None
INFO - 08:28:46: Solution:
INFO - 08:28:46: Optimization result:
INFO - 08:28:46: Optimizer info:
INFO - 08:28:46: Status: None
INFO - 08:28:46: Message: None
INFO - 08:28:46: Solution:
INFO - 08:28:46: The solution is feasible.
INFO - 08:28:46: The solution is feasible.
INFO - 08:28:46: Objective: -659.1819417003436
INFO - 08:28:46: Standardized constraints:
INFO - 08:28:46: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:46: -0.19803381]
INFO - 08:28:46: g_2 = -0.007088218675791014
INFO - 08:28:46: g_3 = [-0.43705892 -0.56294108 -0.64490518 -0.08117258]
INFO - 08:28:46: Objective: -659.1819417003436
INFO - 08:28:46: Standardized constraints:
INFO - 08:28:46: g_1 = [-0.11936975 -0.11352202 -0.10911984 -0.10600546 -0.10373211 -0.04196619
INFO - 08:28:46: -0.19803381]
INFO - 08:28:46: g_2 = -0.007088218675791014
INFO - 08:28:46: g_3 = [-0.43705892 -0.56294108 -0.64490518 -0.08117258]
INFO - 08:28:46: Design space:
INFO - 08:28:46: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:46: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:46: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:46: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:46: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:46: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:46: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:46: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:46: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:46: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:46: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:46: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:46: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:46: Design space:
INFO - 08:28:46: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:46: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:46: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:46: | x_shared[0] | 0.01 | 0.05822794533105225 | 0.09 | float |
INFO - 08:28:46: | x_shared[1] | 30000 | 44461.15862672209 | 60000 | float |
INFO - 08:28:46: | x_shared[2] | 1.4 | 1.58903403609043 | 1.8 | float |
INFO - 08:28:46: | x_shared[3] | 2.5 | 2.757102870923486 | 8.5 | float |
INFO - 08:28:46: | x_shared[4] | 40 | 68.73596231164589 | 70 | float |
INFO - 08:28:46: | x_shared[5] | 500 | 723.9554384869837 | 1500 | float |
INFO - 08:28:46: | x_1[0] | 0.1 | 0.2359336189021384 | 0.4 | float |
INFO - 08:28:46: | x_1[1] | 0.75 | 0.8931955972189334 | 1.25 | float |
INFO - 08:28:46: | x_2 | 0.75 | 0.9978936102804572 | 1.25 | float |
INFO - 08:28:46: | x_3 | 0.1 | 0.1551593150888611 | 1 | float |
INFO - 08:28:46: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:46: *** End DOEScenario execution ***
INFO - 08:28:46: *** End DOEScenario execution ***
Conclusion¶
JAX is about 3 times faster than NumPy in the case of a sampling loop with a Gauss-Seidel MDA.
Optimization¶
MDF with MDAJacobi¶
Solve the Sobieski's SSBJ problem with JAX¶
chain = JAXSobieskiChain()
mod_scenario = MDOScenario(
[chain],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
)
mod_scenario.add_constraint("g_1", "ineq")
mod_scenario.add_constraint("g_2", "ineq")
mod_scenario.add_constraint("g_3", "ineq")
mod_scenario.execute(algo_name="NLOPT_COBYLA", max_iter=100)
Out:
INFO - 08:28:47: Compilation of the output function JAXSobieskiChain: 0:00:00.305439 seconds.
INFO - 08:28:47: Compilation of the output function JAXSobieskiChain: 0:00:00.305439 seconds.
INFO - 08:28:47: Compilation of the Jacobian function JAXSobieskiChain: 0:00:00.938199 seconds.
INFO - 08:28:47: Compilation of the Jacobian function JAXSobieskiChain: 0:00:00.938199 seconds.
INFO - 08:28:47: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:47: *** Start MDOScenario execution ***
INFO - 08:28:47: *** Start MDOScenario execution ***
INFO - 08:28:47: MDOScenario
INFO - 08:28:47: Disciplines: JAXSobieskiChain
INFO - 08:28:47: MDO formulation: MDF
INFO - 08:28:47: MDOScenario
INFO - 08:28:47: Disciplines: JAXSobieskiChain
INFO - 08:28:47: MDO formulation: MDF
INFO - 08:28:47: Optimization problem:
INFO - 08:28:47: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:47: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:47: under the inequality constraints
INFO - 08:28:47: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:47: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:47: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:47: Optimization problem:
INFO - 08:28:47: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:47: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:47: under the inequality constraints
INFO - 08:28:47: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:47: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:47: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:47: over the design space:
INFO - 08:28:47: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:47: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:47: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:47: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:47: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:47: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:47: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:47: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:47: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:47: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:47: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:47: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:47: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:47: over the design space:
INFO - 08:28:47: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:47: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:47: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:47: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:47: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:47: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:47: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:47: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:47: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:47: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:47: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:47: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:47: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:47: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:47: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:47: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:47: 1%| | 1/100 [00:00<00:00, 185.92 it/sec, feas=False, obj=-536]
INFO - 08:28:47: 1%| | 1/100 [00:00<00:00, 185.92 it/sec, feas=False, obj=-536]
INFO - 08:28:47: 2%|▏ | 2/100 [00:00<00:00, 183.53 it/sec, feas=False, obj=-539]
INFO - 08:28:47: 2%|▏ | 2/100 [00:00<00:00, 183.53 it/sec, feas=False, obj=-539]
INFO - 08:28:47: 3%|▎ | 3/100 [00:00<00:00, 182.65 it/sec, feas=False, obj=-763]
INFO - 08:28:47: 3%|▎ | 3/100 [00:00<00:00, 182.65 it/sec, feas=False, obj=-763]
INFO - 08:28:47: 4%|▍ | 4/100 [00:00<00:00, 181.56 it/sec, feas=False, obj=-713]
INFO - 08:28:47: 4%|▍ | 4/100 [00:00<00:00, 181.56 it/sec, feas=False, obj=-713]
INFO - 08:28:47: 5%|▌ | 5/100 [00:00<00:00, 181.14 it/sec, feas=False, obj=-687]
INFO - 08:28:47: 5%|▌ | 5/100 [00:00<00:00, 181.14 it/sec, feas=False, obj=-687]
INFO - 08:28:47: 6%|▌ | 6/100 [00:00<00:00, 180.95 it/sec, feas=False, obj=-897]
INFO - 08:28:47: 6%|▌ | 6/100 [00:00<00:00, 180.95 it/sec, feas=False, obj=-897]
INFO - 08:28:47: 7%|▋ | 7/100 [00:00<00:00, 177.68 it/sec, feas=False, obj=-957]
INFO - 08:28:47: 7%|▋ | 7/100 [00:00<00:00, 177.68 it/sec, feas=False, obj=-957]
INFO - 08:28:47: 8%|▊ | 8/100 [00:00<00:00, 174.78 it/sec, feas=False, obj=-956]
INFO - 08:28:47: 8%|▊ | 8/100 [00:00<00:00, 174.78 it/sec, feas=False, obj=-956]
INFO - 08:28:47: 9%|▉ | 9/100 [00:00<00:00, 172.94 it/sec, feas=False, obj=-930]
INFO - 08:28:47: 9%|▉ | 9/100 [00:00<00:00, 172.94 it/sec, feas=False, obj=-930]
INFO - 08:28:47: 10%|█ | 10/100 [00:00<00:00, 171.43 it/sec, feas=False, obj=-943]
INFO - 08:28:47: 10%|█ | 10/100 [00:00<00:00, 171.43 it/sec, feas=False, obj=-943]
INFO - 08:28:47: 11%|█ | 11/100 [00:00<00:00, 172.06 it/sec, feas=False, obj=-768]
INFO - 08:28:47: 11%|█ | 11/100 [00:00<00:00, 172.06 it/sec, feas=False, obj=-768]
INFO - 08:28:47: 12%|█▏ | 12/100 [00:00<00:00, 169.88 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:47: 12%|█▏ | 12/100 [00:00<00:00, 169.88 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:47: 13%|█▎ | 13/100 [00:00<00:00, 168.11 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:47: 13%|█▎ | 13/100 [00:00<00:00, 168.11 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:47: 14%|█▍ | 14/100 [00:00<00:00, 167.03 it/sec, feas=False, obj=-1.85e+3]
INFO - 08:28:47: 14%|█▍ | 14/100 [00:00<00:00, 167.03 it/sec, feas=False, obj=-1.85e+3]
INFO - 08:28:47: 15%|█▌ | 15/100 [00:00<00:00, 164.50 it/sec, feas=False, obj=-1.87e+3]
INFO - 08:28:47: 15%|█▌ | 15/100 [00:00<00:00, 164.50 it/sec, feas=False, obj=-1.87e+3]
INFO - 08:28:47: 16%|█▌ | 16/100 [00:00<00:00, 162.51 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:47: 16%|█▌ | 16/100 [00:00<00:00, 162.51 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:47: 17%|█▋ | 17/100 [00:00<00:00, 160.42 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:47: 17%|█▋ | 17/100 [00:00<00:00, 160.42 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:47: 18%|█▊ | 18/100 [00:00<00:00, 158.27 it/sec, feas=False, obj=-2.2e+3]
INFO - 08:28:47: 18%|█▊ | 18/100 [00:00<00:00, 158.27 it/sec, feas=False, obj=-2.2e+3]
INFO - 08:28:47: 19%|█▉ | 19/100 [00:00<00:00, 156.36 it/sec, feas=False, obj=-2.42e+3]
INFO - 08:28:47: 19%|█▉ | 19/100 [00:00<00:00, 156.36 it/sec, feas=False, obj=-2.42e+3]
INFO - 08:28:47: 20%|██ | 20/100 [00:00<00:00, 155.84 it/sec, feas=False, obj=-3.03e+3]
INFO - 08:28:47: 20%|██ | 20/100 [00:00<00:00, 155.84 it/sec, feas=False, obj=-3.03e+3]
INFO - 08:28:47: 21%|██ | 21/100 [00:00<00:00, 153.24 it/sec, feas=True, obj=-2.99e+3]
INFO - 08:28:47: 21%|██ | 21/100 [00:00<00:00, 153.24 it/sec, feas=True, obj=-2.99e+3]
INFO - 08:28:47: 22%|██▏ | 22/100 [00:00<00:00, 153.09 it/sec, feas=True, obj=-2.63e+3]
INFO - 08:28:47: 22%|██▏ | 22/100 [00:00<00:00, 153.09 it/sec, feas=True, obj=-2.63e+3]
INFO - 08:28:47: 23%|██▎ | 23/100 [00:00<00:00, 152.41 it/sec, feas=True, obj=-3.08e+3]
INFO - 08:28:47: 23%|██▎ | 23/100 [00:00<00:00, 152.41 it/sec, feas=True, obj=-3.08e+3]
INFO - 08:28:47: 24%|██▍ | 24/100 [00:00<00:00, 151.65 it/sec, feas=True, obj=-3.12e+3]
INFO - 08:28:47: 24%|██▍ | 24/100 [00:00<00:00, 151.65 it/sec, feas=True, obj=-3.12e+3]
INFO - 08:28:47: 25%|██▌ | 25/100 [00:00<00:00, 151.77 it/sec, feas=False, obj=-3.2e+3]
INFO - 08:28:47: 25%|██▌ | 25/100 [00:00<00:00, 151.77 it/sec, feas=False, obj=-3.2e+3]
INFO - 08:28:47: 26%|██▌ | 26/100 [00:00<00:00, 151.88 it/sec, feas=False, obj=-2.76e+3]
INFO - 08:28:47: 26%|██▌ | 26/100 [00:00<00:00, 151.88 it/sec, feas=False, obj=-2.76e+3]
INFO - 08:28:47: 27%|██▋ | 27/100 [00:00<00:00, 151.40 it/sec, feas=True, obj=-3.46e+3]
INFO - 08:28:47: 27%|██▋ | 27/100 [00:00<00:00, 151.40 it/sec, feas=True, obj=-3.46e+3]
INFO - 08:28:47: 28%|██▊ | 28/100 [00:00<00:00, 151.46 it/sec, feas=True, obj=-3.51e+3]
INFO - 08:28:47: 28%|██▊ | 28/100 [00:00<00:00, 151.46 it/sec, feas=True, obj=-3.51e+3]
INFO - 08:28:47: 29%|██▉ | 29/100 [00:00<00:00, 151.60 it/sec, feas=False, obj=-3.41e+3]
INFO - 08:28:47: 29%|██▉ | 29/100 [00:00<00:00, 151.60 it/sec, feas=False, obj=-3.41e+3]
INFO - 08:28:47: 30%|███ | 30/100 [00:00<00:00, 151.72 it/sec, feas=False, obj=-3.28e+3]
INFO - 08:28:47: 30%|███ | 30/100 [00:00<00:00, 151.72 it/sec, feas=False, obj=-3.28e+3]
INFO - 08:28:47: 31%|███ | 31/100 [00:00<00:00, 151.89 it/sec, feas=False, obj=-3.87e+3]
INFO - 08:28:47: 31%|███ | 31/100 [00:00<00:00, 151.89 it/sec, feas=False, obj=-3.87e+3]
INFO - 08:28:47: 32%|███▏ | 32/100 [00:00<00:00, 152.13 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:47: 32%|███▏ | 32/100 [00:00<00:00, 152.13 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:47: 33%|███▎ | 33/100 [00:00<00:00, 152.35 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:47: 33%|███▎ | 33/100 [00:00<00:00, 152.35 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:47: 34%|███▍ | 34/100 [00:00<00:00, 152.59 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:47: 34%|███▍ | 34/100 [00:00<00:00, 152.59 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:47: 35%|███▌ | 35/100 [00:00<00:00, 152.40 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:47: 35%|███▌ | 35/100 [00:00<00:00, 152.40 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:47: 36%|███▌ | 36/100 [00:00<00:00, 152.55 it/sec, feas=False, obj=-3.68e+3]
INFO - 08:28:47: 36%|███▌ | 36/100 [00:00<00:00, 152.55 it/sec, feas=False, obj=-3.68e+3]
INFO - 08:28:47: 37%|███▋ | 37/100 [00:00<00:00, 152.28 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:47: 37%|███▋ | 37/100 [00:00<00:00, 152.28 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:47: 38%|███▊ | 38/100 [00:00<00:00, 152.45 it/sec, feas=False, obj=-3.93e+3]
INFO - 08:28:47: 38%|███▊ | 38/100 [00:00<00:00, 152.45 it/sec, feas=False, obj=-3.93e+3]
INFO - 08:28:47: 39%|███▉ | 39/100 [00:00<00:00, 152.23 it/sec, feas=False, obj=-3.64e+3]
INFO - 08:28:47: 39%|███▉ | 39/100 [00:00<00:00, 152.23 it/sec, feas=False, obj=-3.64e+3]
INFO - 08:28:47: 40%|████ | 40/100 [00:00<00:00, 152.30 it/sec, feas=True, obj=-3.4e+3]
INFO - 08:28:47: 40%|████ | 40/100 [00:00<00:00, 152.30 it/sec, feas=True, obj=-3.4e+3]
INFO - 08:28:47: 41%|████ | 41/100 [00:00<00:00, 151.95 it/sec, feas=False, obj=-3.37e+3]
INFO - 08:28:47: 41%|████ | 41/100 [00:00<00:00, 151.95 it/sec, feas=False, obj=-3.37e+3]
INFO - 08:28:47: 42%|████▏ | 42/100 [00:00<00:00, 151.71 it/sec, feas=False, obj=-3.83e+3]
INFO - 08:28:47: 42%|████▏ | 42/100 [00:00<00:00, 151.71 it/sec, feas=False, obj=-3.83e+3]
INFO - 08:28:47: 43%|████▎ | 43/100 [00:00<00:00, 151.87 it/sec, feas=False, obj=-3.95e+3]
INFO - 08:28:47: 43%|████▎ | 43/100 [00:00<00:00, 151.87 it/sec, feas=False, obj=-3.95e+3]
INFO - 08:28:47: 44%|████▍ | 44/100 [00:00<00:00, 152.13 it/sec, feas=False, obj=-3.83e+3]
INFO - 08:28:47: 44%|████▍ | 44/100 [00:00<00:00, 152.13 it/sec, feas=False, obj=-3.83e+3]
INFO - 08:28:47: 45%|████▌ | 45/100 [00:00<00:00, 152.26 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:47: 45%|████▌ | 45/100 [00:00<00:00, 152.26 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:47: 46%|████▌ | 46/100 [00:00<00:00, 152.03 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:47: 46%|████▌ | 46/100 [00:00<00:00, 152.03 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:47: 47%|████▋ | 47/100 [00:00<00:00, 151.75 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:47: 47%|████▋ | 47/100 [00:00<00:00, 151.75 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:47: 48%|████▊ | 48/100 [00:00<00:00, 151.89 it/sec, feas=False, obj=-3.56e+3]
INFO - 08:28:47: 48%|████▊ | 48/100 [00:00<00:00, 151.89 it/sec, feas=False, obj=-3.56e+3]
INFO - 08:28:47: 49%|████▉ | 49/100 [00:00<00:00, 152.04 it/sec, feas=False, obj=-3.96e+3]
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INFO - 08:28:48: 57%|█████▋ | 57/100 [00:00<00:00, 152.52 it/sec, feas=False, obj=-3.82e+3]
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INFO - 08:28:48: 58%|█████▊ | 58/100 [00:00<00:00, 152.79 it/sec, feas=False, obj=-3.59e+3]
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INFO - 08:28:48: 59%|█████▉ | 59/100 [00:00<00:00, 153.06 it/sec, feas=False, obj=-3.96e+3]
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INFO - 08:28:48: 60%|██████ | 60/100 [00:00<00:00, 153.31 it/sec, feas=False, obj=-3.53e+3]
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INFO - 08:28:48: 62%|██████▏ | 62/100 [00:00<00:00, 153.84 it/sec, feas=False, obj=-3.41e+3]
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INFO - 08:28:48: 64%|██████▍ | 64/100 [00:00<00:00, 153.92 it/sec, feas=False, obj=-3.15e+3]
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INFO - 08:28:48: 66%|██████▌ | 66/100 [00:00<00:00, 153.73 it/sec, feas=True, obj=-3.15e+3]
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INFO - 08:28:48: 67%|██████▋ | 67/100 [00:00<00:00, 153.64 it/sec, feas=False, obj=-3.54e+3]
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INFO - 08:28:48: 69%|██████▉ | 69/100 [00:00<00:00, 153.33 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:48: 69%|██████▉ | 69/100 [00:00<00:00, 153.33 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:48: 70%|███████ | 70/100 [00:00<00:00, 153.25 it/sec, feas=False, obj=-3.76e+3]
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INFO - 08:28:48: 71%|███████ | 71/100 [00:00<00:00, 153.15 it/sec, feas=False, obj=-3.98e+3]
INFO - 08:28:48: 71%|███████ | 71/100 [00:00<00:00, 153.15 it/sec, feas=False, obj=-3.98e+3]
INFO - 08:28:48: 72%|███████▏ | 72/100 [00:00<00:00, 153.13 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:48: 72%|███████▏ | 72/100 [00:00<00:00, 153.13 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:48: 73%|███████▎ | 73/100 [00:00<00:00, 152.90 it/sec, feas=False, obj=-3.4e+3]
INFO - 08:28:48: 73%|███████▎ | 73/100 [00:00<00:00, 152.90 it/sec, feas=False, obj=-3.4e+3]
INFO - 08:28:48: 74%|███████▍ | 74/100 [00:00<00:00, 152.91 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:48: 74%|███████▍ | 74/100 [00:00<00:00, 152.91 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:48: 75%|███████▌ | 75/100 [00:00<00:00, 152.67 it/sec, feas=False, obj=-3.35e+3]
INFO - 08:28:48: 75%|███████▌ | 75/100 [00:00<00:00, 152.67 it/sec, feas=False, obj=-3.35e+3]
INFO - 08:28:48: 76%|███████▌ | 76/100 [00:00<00:00, 152.40 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:48: 76%|███████▌ | 76/100 [00:00<00:00, 152.40 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:48: 77%|███████▋ | 77/100 [00:00<00:00, 152.18 it/sec, feas=False, obj=-3.5e+3]
INFO - 08:28:48: 77%|███████▋ | 77/100 [00:00<00:00, 152.18 it/sec, feas=False, obj=-3.5e+3]
INFO - 08:28:48: 78%|███████▊ | 78/100 [00:00<00:00, 151.94 it/sec, feas=False, obj=-3.4e+3]
INFO - 08:28:48: 78%|███████▊ | 78/100 [00:00<00:00, 151.94 it/sec, feas=False, obj=-3.4e+3]
INFO - 08:28:48: 79%|███████▉ | 79/100 [00:00<00:00, 151.93 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:48: 79%|███████▉ | 79/100 [00:00<00:00, 151.93 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:48: 80%|████████ | 80/100 [00:00<00:00, 151.71 it/sec, feas=False, obj=-3.26e+3]
INFO - 08:28:48: 80%|████████ | 80/100 [00:00<00:00, 151.71 it/sec, feas=False, obj=-3.26e+3]
INFO - 08:28:48: 81%|████████ | 81/100 [00:00<00:00, 151.55 it/sec, feas=False, obj=-3.74e+3]
INFO - 08:28:48: 81%|████████ | 81/100 [00:00<00:00, 151.55 it/sec, feas=False, obj=-3.74e+3]
INFO - 08:28:48: 82%|████████▏ | 82/100 [00:00<00:00, 151.61 it/sec, feas=False, obj=-4.03e+3]
INFO - 08:28:48: 82%|████████▏ | 82/100 [00:00<00:00, 151.61 it/sec, feas=False, obj=-4.03e+3]
INFO - 08:28:48: 83%|████████▎ | 83/100 [00:00<00:00, 151.44 it/sec, feas=False, obj=-3.44e+3]
INFO - 08:28:48: 83%|████████▎ | 83/100 [00:00<00:00, 151.44 it/sec, feas=False, obj=-3.44e+3]
INFO - 08:28:48: 84%|████████▍ | 84/100 [00:00<00:00, 151.28 it/sec, feas=False, obj=-3.66e+3]
INFO - 08:28:48: 84%|████████▍ | 84/100 [00:00<00:00, 151.28 it/sec, feas=False, obj=-3.66e+3]
INFO - 08:28:48: 85%|████████▌ | 85/100 [00:00<00:00, 151.16 it/sec, feas=False, obj=-3.48e+3]
INFO - 08:28:48: 85%|████████▌ | 85/100 [00:00<00:00, 151.16 it/sec, feas=False, obj=-3.48e+3]
INFO - 08:28:48: 86%|████████▌ | 86/100 [00:00<00:00, 150.99 it/sec, feas=True, obj=-3.6e+3]
INFO - 08:28:48: 86%|████████▌ | 86/100 [00:00<00:00, 150.99 it/sec, feas=True, obj=-3.6e+3]
INFO - 08:28:48: 87%|████████▋ | 87/100 [00:00<00:00, 150.82 it/sec, feas=True, obj=-3.42e+3]
INFO - 08:28:48: 87%|████████▋ | 87/100 [00:00<00:00, 150.82 it/sec, feas=True, obj=-3.42e+3]
INFO - 08:28:48: 88%|████████▊ | 88/100 [00:00<00:00, 150.69 it/sec, feas=False, obj=-3.3e+3]
INFO - 08:28:48: 88%|████████▊ | 88/100 [00:00<00:00, 150.69 it/sec, feas=False, obj=-3.3e+3]
INFO - 08:28:48: 89%|████████▉ | 89/100 [00:00<00:00, 150.57 it/sec, feas=False, obj=-3.73e+3]
INFO - 08:28:48: 89%|████████▉ | 89/100 [00:00<00:00, 150.57 it/sec, feas=False, obj=-3.73e+3]
INFO - 08:28:48: 90%|█████████ | 90/100 [00:00<00:00, 150.46 it/sec, feas=False, obj=-3.88e+3]
INFO - 08:28:48: 90%|█████████ | 90/100 [00:00<00:00, 150.46 it/sec, feas=False, obj=-3.88e+3]
INFO - 08:28:48: 91%|█████████ | 91/100 [00:00<00:00, 150.30 it/sec, feas=False, obj=-3.78e+3]
INFO - 08:28:48: 91%|█████████ | 91/100 [00:00<00:00, 150.30 it/sec, feas=False, obj=-3.78e+3]
INFO - 08:28:48: 92%|█████████▏| 92/100 [00:00<00:00, 150.11 it/sec, feas=True, obj=-3.6e+3]
INFO - 08:28:48: 92%|█████████▏| 92/100 [00:00<00:00, 150.11 it/sec, feas=True, obj=-3.6e+3]
INFO - 08:28:48: 93%|█████████▎| 93/100 [00:00<00:00, 149.91 it/sec, feas=False, obj=-3.71e+3]
INFO - 08:28:48: 93%|█████████▎| 93/100 [00:00<00:00, 149.91 it/sec, feas=False, obj=-3.71e+3]
INFO - 08:28:48: 94%|█████████▍| 94/100 [00:00<00:00, 149.95 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:48: 94%|█████████▍| 94/100 [00:00<00:00, 149.95 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:48: 95%|█████████▌| 95/100 [00:00<00:00, 149.99 it/sec, feas=False, obj=-3.77e+3]
INFO - 08:28:48: 95%|█████████▌| 95/100 [00:00<00:00, 149.99 it/sec, feas=False, obj=-3.77e+3]
INFO - 08:28:48: 96%|█████████▌| 96/100 [00:00<00:00, 150.02 it/sec, feas=False, obj=-3.74e+3]
INFO - 08:28:48: 96%|█████████▌| 96/100 [00:00<00:00, 150.02 it/sec, feas=False, obj=-3.74e+3]
INFO - 08:28:48: 97%|█████████▋| 97/100 [00:00<00:00, 149.90 it/sec, feas=True, obj=-3.63e+3]
INFO - 08:28:48: 97%|█████████▋| 97/100 [00:00<00:00, 149.90 it/sec, feas=True, obj=-3.63e+3]
INFO - 08:28:48: 98%|█████████▊| 98/100 [00:00<00:00, 149.77 it/sec, feas=True, obj=-3.57e+3]
INFO - 08:28:48: 98%|█████████▊| 98/100 [00:00<00:00, 149.77 it/sec, feas=True, obj=-3.57e+3]
INFO - 08:28:48: 99%|█████████▉| 99/100 [00:00<00:00, 149.61 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:48: 99%|█████████▉| 99/100 [00:00<00:00, 149.61 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:48: 100%|██████████| 100/100 [00:00<00:00, 149.47 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:48: 100%|██████████| 100/100 [00:00<00:00, 149.47 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:48: Optimization result:
INFO - 08:28:48: Optimizer info:
INFO - 08:28:48: Status: None
INFO - 08:28:48: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:48: Solution:
INFO - 08:28:48: Optimization result:
INFO - 08:28:48: Optimizer info:
INFO - 08:28:48: Status: None
INFO - 08:28:48: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:48: Solution:
INFO - 08:28:48: The solution is feasible.
INFO - 08:28:48: The solution is feasible.
INFO - 08:28:48: Objective: -3963.381916234575
INFO - 08:28:48: Standardized constraints:
INFO - 08:28:48: g_1 = [-0.01805093 -0.03333915 -0.04424381 -0.05182998 -0.05732217 -0.13720865
INFO - 08:28:48: -0.10279135]
INFO - 08:28:48: g_2 = 0.0
INFO - 08:28:48: g_3 = [-7.67188837e-01 -2.32811163e-01 3.23790288e-06 -1.83255000e-01]
INFO - 08:28:48: Objective: -3963.381916234575
INFO - 08:28:48: Standardized constraints:
INFO - 08:28:48: g_1 = [-0.01805093 -0.03333915 -0.04424381 -0.05182998 -0.05732217 -0.13720865
INFO - 08:28:48: -0.10279135]
INFO - 08:28:48: g_2 = 0.0
INFO - 08:28:48: g_3 = [-7.67188837e-01 -2.32811163e-01 3.23790288e-06 -1.83255000e-01]
INFO - 08:28:48: Design space:
INFO - 08:28:48: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:48: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:48: | x_shared[0] | 0.01 | 0.06000000000000003 | 0.09 | float |
INFO - 08:28:48: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:48: | x_shared[2] | 1.4 | 1.4 | 1.8 | float |
INFO - 08:28:48: | x_shared[3] | 2.5 | 2.5 | 8.5 | float |
INFO - 08:28:48: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:48: | x_shared[5] | 500 | 1500 | 1500 | float |
INFO - 08:28:48: | x_1[0] | 0.1 | 0.4 | 0.4 | float |
INFO - 08:28:48: | x_1[1] | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:48: | x_2 | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:48: | x_3 | 0.1 | 0.1562452515515999 | 1 | float |
INFO - 08:28:48: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:48: Design space:
INFO - 08:28:48: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:48: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:48: | x_shared[0] | 0.01 | 0.06000000000000003 | 0.09 | float |
INFO - 08:28:48: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:48: | x_shared[2] | 1.4 | 1.4 | 1.8 | float |
INFO - 08:28:48: | x_shared[3] | 2.5 | 2.5 | 8.5 | float |
INFO - 08:28:48: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:48: | x_shared[5] | 500 | 1500 | 1500 | float |
INFO - 08:28:48: | x_1[0] | 0.1 | 0.4 | 0.4 | float |
INFO - 08:28:48: | x_1[1] | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:48: | x_2 | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:48: | x_3 | 0.1 | 0.1562452515515999 | 1 | float |
INFO - 08:28:48: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:48: *** End MDOScenario execution ***
INFO - 08:28:48: *** End MDOScenario execution ***
Solve the Sobieski's SSBJ problem with NumPy¶
mod_scenario = MDOScenario(
[
SobieskiStructure(),
SobieskiAerodynamics(),
SobieskiPropulsion(),
SobieskiMission(),
],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
)
mod_scenario.add_constraint("g_1", "ineq")
mod_scenario.add_constraint("g_2", "ineq")
mod_scenario.add_constraint("g_3", "ineq")
mod_scenario.execute(algo_name="NLOPT_COBYLA", max_iter=100)
Out:
INFO - 08:28:48: *** Start MDOScenario execution ***
INFO - 08:28:48: *** Start MDOScenario execution ***
INFO - 08:28:48: MDOScenario
INFO - 08:28:48: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:48: MDO formulation: MDF
INFO - 08:28:48: MDOScenario
INFO - 08:28:48: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:48: MDO formulation: MDF
INFO - 08:28:48: Optimization problem:
INFO - 08:28:48: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:48: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:48: under the inequality constraints
INFO - 08:28:48: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:48: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:48: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:48: Optimization problem:
INFO - 08:28:48: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:48: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:48: under the inequality constraints
INFO - 08:28:48: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:48: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:48: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:48: over the design space:
INFO - 08:28:48: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:48: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:48: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:48: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:48: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:48: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:48: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:48: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:48: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:48: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:48: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:48: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:48: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:48: over the design space:
INFO - 08:28:48: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:48: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:48: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:48: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:48: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:48: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:48: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:48: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:48: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:48: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:48: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:48: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:48: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:48: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:48: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:48: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:48: 1%| | 1/100 [00:00<00:01, 78.62 it/sec, feas=False, obj=-536]
INFO - 08:28:48: 1%| | 1/100 [00:00<00:01, 78.62 it/sec, feas=False, obj=-536]
INFO - 08:28:48: 2%|▏ | 2/100 [00:00<00:01, 68.60 it/sec, feas=False, obj=-539]
INFO - 08:28:48: 2%|▏ | 2/100 [00:00<00:01, 68.60 it/sec, feas=False, obj=-539]
INFO - 08:28:48: 3%|▎ | 3/100 [00:00<00:01, 69.36 it/sec, feas=False, obj=-763]
INFO - 08:28:48: 3%|▎ | 3/100 [00:00<00:01, 69.36 it/sec, feas=False, obj=-763]
INFO - 08:28:48: 4%|▍ | 4/100 [00:00<00:01, 69.79 it/sec, feas=False, obj=-713]
INFO - 08:28:48: 4%|▍ | 4/100 [00:00<00:01, 69.79 it/sec, feas=False, obj=-713]
INFO - 08:28:48: 5%|▌ | 5/100 [00:00<00:01, 70.35 it/sec, feas=False, obj=-687]
INFO - 08:28:48: 5%|▌ | 5/100 [00:00<00:01, 70.35 it/sec, feas=False, obj=-687]
INFO - 08:28:48: 6%|▌ | 6/100 [00:00<00:01, 69.54 it/sec, feas=False, obj=-897]
INFO - 08:28:48: 6%|▌ | 6/100 [00:00<00:01, 69.54 it/sec, feas=False, obj=-897]
INFO - 08:28:48: 7%|▋ | 7/100 [00:00<00:01, 69.96 it/sec, feas=False, obj=-957]
INFO - 08:28:48: 7%|▋ | 7/100 [00:00<00:01, 69.96 it/sec, feas=False, obj=-957]
INFO - 08:28:48: 8%|▊ | 8/100 [00:00<00:01, 71.06 it/sec, feas=False, obj=-956]
INFO - 08:28:48: 8%|▊ | 8/100 [00:00<00:01, 71.06 it/sec, feas=False, obj=-956]
INFO - 08:28:48: 9%|▉ | 9/100 [00:00<00:01, 71.90 it/sec, feas=False, obj=-930]
INFO - 08:28:48: 9%|▉ | 9/100 [00:00<00:01, 71.90 it/sec, feas=False, obj=-930]
INFO - 08:28:48: 10%|█ | 10/100 [00:00<00:01, 72.78 it/sec, feas=False, obj=-943]
INFO - 08:28:48: 10%|█ | 10/100 [00:00<00:01, 72.78 it/sec, feas=False, obj=-943]
INFO - 08:28:48: 11%|█ | 11/100 [00:00<00:01, 73.35 it/sec, feas=False, obj=-768]
INFO - 08:28:48: 11%|█ | 11/100 [00:00<00:01, 73.35 it/sec, feas=False, obj=-768]
INFO - 08:28:48: 12%|█▏ | 12/100 [00:00<00:01, 69.90 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:48: 12%|█▏ | 12/100 [00:00<00:01, 69.90 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:48: 13%|█▎ | 13/100 [00:00<00:01, 67.52 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:48: 13%|█▎ | 13/100 [00:00<00:01, 67.52 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:48: 14%|█▍ | 14/100 [00:00<00:01, 65.95 it/sec, feas=False, obj=-1.85e+3]
INFO - 08:28:48: 14%|█▍ | 14/100 [00:00<00:01, 65.95 it/sec, feas=False, obj=-1.85e+3]
INFO - 08:28:48: 15%|█▌ | 15/100 [00:00<00:01, 64.12 it/sec, feas=False, obj=-1.87e+3]
INFO - 08:28:48: 15%|█▌ | 15/100 [00:00<00:01, 64.12 it/sec, feas=False, obj=-1.87e+3]
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.7204854871194414e-05 is still above the tolerance 1e-06.
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.7204854871194414e-05 is still above the tolerance 1e-06.
INFO - 08:28:48: 16%|█▌ | 16/100 [00:00<00:01, 61.98 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:48: 16%|█▌ | 16/100 [00:00<00:01, 61.98 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:48: 17%|█▋ | 17/100 [00:00<00:01, 61.02 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:48: 17%|█▋ | 17/100 [00:00<00:01, 61.02 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:48: 18%|█▊ | 18/100 [00:00<00:01, 59.60 it/sec, feas=False, obj=-2.2e+3]
INFO - 08:28:48: 18%|█▊ | 18/100 [00:00<00:01, 59.60 it/sec, feas=False, obj=-2.2e+3]
INFO - 08:28:48: 19%|█▉ | 19/100 [00:00<00:01, 58.96 it/sec, feas=False, obj=-2.42e+3]
INFO - 08:28:48: 19%|█▉ | 19/100 [00:00<00:01, 58.96 it/sec, feas=False, obj=-2.42e+3]
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.9335592270087927e-05 is still above the tolerance 1e-06.
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.9335592270087927e-05 is still above the tolerance 1e-06.
INFO - 08:28:48: 20%|██ | 20/100 [00:00<00:01, 57.59 it/sec, feas=True, obj=-2.37e+3]
INFO - 08:28:48: 20%|██ | 20/100 [00:00<00:01, 57.59 it/sec, feas=True, obj=-2.37e+3]
INFO - 08:28:48: 21%|██ | 21/100 [00:00<00:01, 57.11 it/sec, feas=False, obj=-2.83e+3]
INFO - 08:28:48: 21%|██ | 21/100 [00:00<00:01, 57.11 it/sec, feas=False, obj=-2.83e+3]
INFO - 08:28:48: 22%|██▏ | 22/100 [00:00<00:01, 56.18 it/sec, feas=True, obj=-3.12e+3]
INFO - 08:28:48: 22%|██▏ | 22/100 [00:00<00:01, 56.18 it/sec, feas=True, obj=-3.12e+3]
INFO - 08:28:48: 23%|██▎ | 23/100 [00:00<00:01, 55.93 it/sec, feas=False, obj=-3.21e+3]
INFO - 08:28:48: 23%|██▎ | 23/100 [00:00<00:01, 55.93 it/sec, feas=False, obj=-3.21e+3]
INFO - 08:28:48: 24%|██▍ | 24/100 [00:00<00:01, 55.93 it/sec, feas=False, obj=-3.99e+3]
INFO - 08:28:48: 24%|██▍ | 24/100 [00:00<00:01, 55.93 it/sec, feas=False, obj=-3.99e+3]
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.6602480542748623e-05 is still above the tolerance 1e-06.
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.6602480542748623e-05 is still above the tolerance 1e-06.
INFO - 08:28:48: 25%|██▌ | 25/100 [00:00<00:01, 55.08 it/sec, feas=True, obj=-2.6e+3]
INFO - 08:28:48: 25%|██▌ | 25/100 [00:00<00:01, 55.08 it/sec, feas=True, obj=-2.6e+3]
INFO - 08:28:48: 26%|██▌ | 26/100 [00:00<00:01, 54.54 it/sec, feas=False, obj=-3.06e+3]
INFO - 08:28:48: 26%|██▌ | 26/100 [00:00<00:01, 54.54 it/sec, feas=False, obj=-3.06e+3]
INFO - 08:28:48: 27%|██▋ | 27/100 [00:00<00:01, 54.36 it/sec, feas=False, obj=-2.98e+3]
INFO - 08:28:48: 27%|██▋ | 27/100 [00:00<00:01, 54.36 it/sec, feas=False, obj=-2.98e+3]
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.131065719805529e-06 is still above the tolerance 1e-06.
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.131065719805529e-06 is still above the tolerance 1e-06.
INFO - 08:28:48: 28%|██▊ | 28/100 [00:00<00:01, 53.59 it/sec, feas=False, obj=-3.24e+3]
INFO - 08:28:48: 28%|██▊ | 28/100 [00:00<00:01, 53.59 it/sec, feas=False, obj=-3.24e+3]
INFO - 08:28:48: 29%|██▉ | 29/100 [00:00<00:01, 53.26 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:48: 29%|██▉ | 29/100 [00:00<00:01, 53.26 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:48: 30%|███ | 30/100 [00:00<00:01, 53.19 it/sec, feas=False, obj=-3.16e+3]
INFO - 08:28:48: 30%|███ | 30/100 [00:00<00:01, 53.19 it/sec, feas=False, obj=-3.16e+3]
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 0.00020046262987076315 is still above the tolerance 1e-06.
WARNING - 08:28:48: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 0.00020046262987076315 is still above the tolerance 1e-06.
INFO - 08:28:48: 31%|███ | 31/100 [00:00<00:01, 52.62 it/sec, feas=False, obj=-3.09e+3]
INFO - 08:28:48: 31%|███ | 31/100 [00:00<00:01, 52.62 it/sec, feas=False, obj=-3.09e+3]
INFO - 08:28:48: 32%|███▏ | 32/100 [00:00<00:01, 52.13 it/sec, feas=True, obj=-3.47e+3]
INFO - 08:28:48: 32%|███▏ | 32/100 [00:00<00:01, 52.13 it/sec, feas=True, obj=-3.47e+3]
INFO - 08:28:48: 33%|███▎ | 33/100 [00:00<00:01, 51.68 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:48: 33%|███▎ | 33/100 [00:00<00:01, 51.68 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:48: 34%|███▍ | 34/100 [00:00<00:01, 51.68 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:48: 34%|███▍ | 34/100 [00:00<00:01, 51.68 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:48: 35%|███▌ | 35/100 [00:00<00:01, 51.35 it/sec, feas=False, obj=-3.2e+3]
INFO - 08:28:48: 35%|███▌ | 35/100 [00:00<00:01, 51.35 it/sec, feas=False, obj=-3.2e+3]
INFO - 08:28:49: 36%|███▌ | 36/100 [00:00<00:01, 51.35 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:49: 36%|███▌ | 36/100 [00:00<00:01, 51.35 it/sec, feas=False, obj=-3.52e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.5187500368837417e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.5187500368837417e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 37%|███▋ | 37/100 [00:00<00:01, 50.93 it/sec, feas=True, obj=-2.96e+3]
INFO - 08:28:49: 37%|███▋ | 37/100 [00:00<00:01, 50.93 it/sec, feas=True, obj=-2.96e+3]
INFO - 08:28:49: 38%|███▊ | 38/100 [00:00<00:01, 50.91 it/sec, feas=False, obj=-3.18e+3]
INFO - 08:28:49: 38%|███▊ | 38/100 [00:00<00:01, 50.91 it/sec, feas=False, obj=-3.18e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.3580820715243732e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.3580820715243732e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 39%|███▉ | 39/100 [00:00<00:01, 50.54 it/sec, feas=True, obj=-3.15e+3]
INFO - 08:28:49: 39%|███▉ | 39/100 [00:00<00:01, 50.54 it/sec, feas=True, obj=-3.15e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.0068765557476064e-05 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.0068765557476064e-05 is still above the tolerance 1e-06.
INFO - 08:28:49: 40%|████ | 40/100 [00:00<00:01, 50.22 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:49: 40%|████ | 40/100 [00:00<00:01, 50.22 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:49: 41%|████ | 41/100 [00:00<00:01, 50.19 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:49: 41%|████ | 41/100 [00:00<00:01, 50.19 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:49: 42%|████▏ | 42/100 [00:00<00:01, 50.14 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:49: 42%|████▏ | 42/100 [00:00<00:01, 50.14 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:49: 43%|████▎ | 43/100 [00:00<00:01, 50.10 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:49: 43%|████▎ | 43/100 [00:00<00:01, 50.10 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:49: 44%|████▍ | 44/100 [00:00<00:01, 49.85 it/sec, feas=True, obj=-3.75e+3]
INFO - 08:28:49: 44%|████▍ | 44/100 [00:00<00:01, 49.85 it/sec, feas=True, obj=-3.75e+3]
INFO - 08:28:49: 45%|████▌ | 45/100 [00:00<00:01, 49.80 it/sec, feas=True, obj=-3.94e+3]
INFO - 08:28:49: 45%|████▌ | 45/100 [00:00<00:01, 49.80 it/sec, feas=True, obj=-3.94e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.9699912018918902e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.9699912018918902e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 46%|████▌ | 46/100 [00:00<00:01, 49.52 it/sec, feas=True, obj=-3.38e+3]
INFO - 08:28:49: 46%|████▌ | 46/100 [00:00<00:01, 49.52 it/sec, feas=True, obj=-3.38e+3]
INFO - 08:28:49: 47%|████▋ | 47/100 [00:00<00:01, 49.60 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:49: 47%|████▋ | 47/100 [00:00<00:01, 49.60 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:49: 48%|████▊ | 48/100 [00:00<00:01, 49.38 it/sec, feas=False, obj=-3.41e+3]
INFO - 08:28:49: 48%|████▊ | 48/100 [00:00<00:01, 49.38 it/sec, feas=False, obj=-3.41e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.9604198356566634e-05 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.9604198356566634e-05 is still above the tolerance 1e-06.
INFO - 08:28:49: 49%|████▉ | 49/100 [00:00<00:01, 49.12 it/sec, feas=True, obj=-3.88e+3]
INFO - 08:28:49: 49%|████▉ | 49/100 [00:00<00:01, 49.12 it/sec, feas=True, obj=-3.88e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.0414068021569107e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.0414068021569107e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 50%|█████ | 50/100 [00:01<00:01, 48.87 it/sec, feas=False, obj=-3.56e+3]
INFO - 08:28:49: 50%|█████ | 50/100 [00:01<00:01, 48.87 it/sec, feas=False, obj=-3.56e+3]
INFO - 08:28:49: 51%|█████ | 51/100 [00:01<00:01, 48.86 it/sec, feas=False, obj=-3.57e+3]
INFO - 08:28:49: 51%|█████ | 51/100 [00:01<00:01, 48.86 it/sec, feas=False, obj=-3.57e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 4.339805325609159e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 4.339805325609159e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 52%|█████▏ | 52/100 [00:01<00:00, 48.64 it/sec, feas=True, obj=-3.31e+3]
INFO - 08:28:49: 52%|█████▏ | 52/100 [00:01<00:00, 48.64 it/sec, feas=True, obj=-3.31e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.903076918194352e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.903076918194352e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 53%|█████▎ | 53/100 [00:01<00:00, 48.45 it/sec, feas=True, obj=-3.18e+3]
INFO - 08:28:49: 53%|█████▎ | 53/100 [00:01<00:00, 48.45 it/sec, feas=True, obj=-3.18e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 4.222419054177024e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 4.222419054177024e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 54%|█████▍ | 54/100 [00:01<00:00, 48.19 it/sec, feas=False, obj=-3.27e+3]
INFO - 08:28:49: 54%|█████▍ | 54/100 [00:01<00:00, 48.19 it/sec, feas=False, obj=-3.27e+3]
INFO - 08:28:49: 55%|█████▌ | 55/100 [00:01<00:00, 48.22 it/sec, feas=True, obj=-3.83e+3]
INFO - 08:28:49: 55%|█████▌ | 55/100 [00:01<00:00, 48.22 it/sec, feas=True, obj=-3.83e+3]
INFO - 08:28:49: 56%|█████▌ | 56/100 [00:01<00:00, 48.35 it/sec, feas=True, obj=-3.75e+3]
INFO - 08:28:49: 56%|█████▌ | 56/100 [00:01<00:00, 48.35 it/sec, feas=True, obj=-3.75e+3]
INFO - 08:28:49: 57%|█████▋ | 57/100 [00:01<00:00, 48.29 it/sec, feas=True, obj=-3.42e+3]
INFO - 08:28:49: 57%|█████▋ | 57/100 [00:01<00:00, 48.29 it/sec, feas=True, obj=-3.42e+3]
INFO - 08:28:49: 58%|█████▊ | 58/100 [00:01<00:00, 48.12 it/sec, feas=True, obj=-3.51e+3]
INFO - 08:28:49: 58%|█████▊ | 58/100 [00:01<00:00, 48.12 it/sec, feas=True, obj=-3.51e+3]
INFO - 08:28:49: 59%|█████▉ | 59/100 [00:01<00:00, 47.97 it/sec, feas=False, obj=-3.62e+3]
INFO - 08:28:49: 59%|█████▉ | 59/100 [00:01<00:00, 47.97 it/sec, feas=False, obj=-3.62e+3]
INFO - 08:28:49: 60%|██████ | 60/100 [00:01<00:00, 47.95 it/sec, feas=True, obj=-3.5e+3]
INFO - 08:28:49: 60%|██████ | 60/100 [00:01<00:00, 47.95 it/sec, feas=True, obj=-3.5e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.439216568543729e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.439216568543729e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 61%|██████ | 61/100 [00:01<00:00, 47.78 it/sec, feas=False, obj=-3.46e+3]
INFO - 08:28:49: 61%|██████ | 61/100 [00:01<00:00, 47.78 it/sec, feas=False, obj=-3.46e+3]
INFO - 08:28:49: 62%|██████▏ | 62/100 [00:01<00:00, 47.72 it/sec, feas=False, obj=-3.34e+3]
INFO - 08:28:49: 62%|██████▏ | 62/100 [00:01<00:00, 47.72 it/sec, feas=False, obj=-3.34e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 6.1842511238495055e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 6.1842511238495055e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 63%|██████▎ | 63/100 [00:01<00:00, 47.59 it/sec, feas=False, obj=-3.36e+3]
INFO - 08:28:49: 63%|██████▎ | 63/100 [00:01<00:00, 47.59 it/sec, feas=False, obj=-3.36e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.6372363218085485e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.6372363218085485e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 64%|██████▍ | 64/100 [00:01<00:00, 47.44 it/sec, feas=True, obj=-3.19e+3]
INFO - 08:28:49: 64%|██████▍ | 64/100 [00:01<00:00, 47.44 it/sec, feas=True, obj=-3.19e+3]
INFO - 08:28:49: 65%|██████▌ | 65/100 [00:01<00:00, 47.35 it/sec, feas=False, obj=-3.45e+3]
INFO - 08:28:49: 65%|██████▌ | 65/100 [00:01<00:00, 47.35 it/sec, feas=False, obj=-3.45e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 6.279609664777154e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 6.279609664777154e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 66%|██████▌ | 66/100 [00:01<00:00, 47.23 it/sec, feas=False, obj=-3.45e+3]
INFO - 08:28:49: 66%|██████▌ | 66/100 [00:01<00:00, 47.23 it/sec, feas=False, obj=-3.45e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 4.405999600169342e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 4.405999600169342e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 67%|██████▋ | 67/100 [00:01<00:00, 47.11 it/sec, feas=True, obj=-3.45e+3]
INFO - 08:28:49: 67%|██████▋ | 67/100 [00:01<00:00, 47.11 it/sec, feas=True, obj=-3.45e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.4425135716984906e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.4425135716984906e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 68%|██████▊ | 68/100 [00:01<00:00, 46.99 it/sec, feas=False, obj=-3.32e+3]
INFO - 08:28:49: 68%|██████▊ | 68/100 [00:01<00:00, 46.99 it/sec, feas=False, obj=-3.32e+3]
INFO - 08:28:49: 69%|██████▉ | 69/100 [00:01<00:00, 46.88 it/sec, feas=False, obj=-3.42e+3]
INFO - 08:28:49: 69%|██████▉ | 69/100 [00:01<00:00, 46.88 it/sec, feas=False, obj=-3.42e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.662998088252376e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.662998088252376e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 70%|███████ | 70/100 [00:01<00:00, 46.78 it/sec, feas=False, obj=-3.54e+3]
INFO - 08:28:49: 70%|███████ | 70/100 [00:01<00:00, 46.78 it/sec, feas=False, obj=-3.54e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.981553508096536e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.981553508096536e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 71%|███████ | 71/100 [00:01<00:00, 46.68 it/sec, feas=True, obj=-3.3e+3]
INFO - 08:28:49: 71%|███████ | 71/100 [00:01<00:00, 46.68 it/sec, feas=True, obj=-3.3e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.529222752819427e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.529222752819427e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 72%|███████▏ | 72/100 [00:01<00:00, 46.58 it/sec, feas=True, obj=-3.34e+3]
INFO - 08:28:49: 72%|███████▏ | 72/100 [00:01<00:00, 46.58 it/sec, feas=True, obj=-3.34e+3]
INFO - 08:28:49: 73%|███████▎ | 73/100 [00:01<00:00, 46.48 it/sec, feas=False, obj=-3.14e+3]
INFO - 08:28:49: 73%|███████▎ | 73/100 [00:01<00:00, 46.48 it/sec, feas=False, obj=-3.14e+3]
INFO - 08:28:49: 74%|███████▍ | 74/100 [00:01<00:00, 46.52 it/sec, feas=True, obj=-3.64e+3]
INFO - 08:28:49: 74%|███████▍ | 74/100 [00:01<00:00, 46.52 it/sec, feas=True, obj=-3.64e+3]
INFO - 08:28:49: 75%|███████▌ | 75/100 [00:01<00:00, 46.44 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:49: 75%|███████▌ | 75/100 [00:01<00:00, 46.44 it/sec, feas=False, obj=-3.39e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.6083054685158987e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.6083054685158987e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 76%|███████▌ | 76/100 [00:01<00:00, 46.35 it/sec, feas=False, obj=-3.11e+3]
INFO - 08:28:49: 76%|███████▌ | 76/100 [00:01<00:00, 46.35 it/sec, feas=False, obj=-3.11e+3]
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.712717311801625e-06 is still above the tolerance 1e-06.
WARNING - 08:28:49: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.712717311801625e-06 is still above the tolerance 1e-06.
INFO - 08:28:49: 77%|███████▋ | 77/100 [00:01<00:00, 46.26 it/sec, feas=False, obj=-3.51e+3]
INFO - 08:28:49: 77%|███████▋ | 77/100 [00:01<00:00, 46.26 it/sec, feas=False, obj=-3.51e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.1988893016520166e-06 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.1988893016520166e-06 is still above the tolerance 1e-06.
INFO - 08:28:50: 78%|███████▊ | 78/100 [00:01<00:00, 46.16 it/sec, feas=True, obj=-3.07e+3]
INFO - 08:28:50: 78%|███████▊ | 78/100 [00:01<00:00, 46.16 it/sec, feas=True, obj=-3.07e+3]
INFO - 08:28:50: 79%|███████▉ | 79/100 [00:01<00:00, 46.24 it/sec, feas=False, obj=-3.69e+3]
INFO - 08:28:50: 79%|███████▉ | 79/100 [00:01<00:00, 46.24 it/sec, feas=False, obj=-3.69e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.3277311553287673e-06 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 3.3277311553287673e-06 is still above the tolerance 1e-06.
INFO - 08:28:50: 80%|████████ | 80/100 [00:01<00:00, 46.16 it/sec, feas=False, obj=-3.08e+3]
INFO - 08:28:50: 80%|████████ | 80/100 [00:01<00:00, 46.16 it/sec, feas=False, obj=-3.08e+3]
INFO - 08:28:50: 81%|████████ | 81/100 [00:01<00:00, 46.09 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:50: 81%|████████ | 81/100 [00:01<00:00, 46.09 it/sec, feas=False, obj=-3.39e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 5.388041776135559e-06 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 5.388041776135559e-06 is still above the tolerance 1e-06.
INFO - 08:28:50: 82%|████████▏ | 82/100 [00:01<00:00, 46.02 it/sec, feas=False, obj=-3.5e+3]
INFO - 08:28:50: 82%|████████▏ | 82/100 [00:01<00:00, 46.02 it/sec, feas=False, obj=-3.5e+3]
INFO - 08:28:50: 83%|████████▎ | 83/100 [00:01<00:00, 45.96 it/sec, feas=False, obj=-3.08e+3]
INFO - 08:28:50: 83%|████████▎ | 83/100 [00:01<00:00, 45.96 it/sec, feas=False, obj=-3.08e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.3902672321401141e-05 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.3902672321401141e-05 is still above the tolerance 1e-06.
INFO - 08:28:50: 84%|████████▍ | 84/100 [00:01<00:00, 45.88 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:50: 84%|████████▍ | 84/100 [00:01<00:00, 45.88 it/sec, feas=False, obj=-3.79e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 8.258646891354083e-06 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 8.258646891354083e-06 is still above the tolerance 1e-06.
INFO - 08:28:50: 85%|████████▌ | 85/100 [00:01<00:00, 45.81 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:50: 85%|████████▌ | 85/100 [00:01<00:00, 45.81 it/sec, feas=False, obj=-3.67e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.0805763550512402e-05 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.0805763550512402e-05 is still above the tolerance 1e-06.
INFO - 08:28:50: 86%|████████▌ | 86/100 [00:01<00:00, 45.75 it/sec, feas=False, obj=-3.87e+3]
INFO - 08:28:50: 86%|████████▌ | 86/100 [00:01<00:00, 45.75 it/sec, feas=False, obj=-3.87e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.9796750242748394e-06 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 2.9796750242748394e-06 is still above the tolerance 1e-06.
INFO - 08:28:50: 87%|████████▋ | 87/100 [00:01<00:00, 45.65 it/sec, feas=False, obj=-3.38e+3]
INFO - 08:28:50: 87%|████████▋ | 87/100 [00:01<00:00, 45.65 it/sec, feas=False, obj=-3.38e+3]
INFO - 08:28:50: 88%|████████▊ | 88/100 [00:01<00:00, 45.69 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 88%|████████▊ | 88/100 [00:01<00:00, 45.69 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 89%|████████▉ | 89/100 [00:01<00:00, 45.72 it/sec, feas=True, obj=-3.94e+3]
INFO - 08:28:50: 89%|████████▉ | 89/100 [00:01<00:00, 45.72 it/sec, feas=True, obj=-3.94e+3]
INFO - 08:28:50: 90%|█████████ | 90/100 [00:01<00:00, 45.74 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 90%|█████████ | 90/100 [00:01<00:00, 45.74 it/sec, feas=True, obj=-3.96e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.7338183877226514e-05 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.7338183877226514e-05 is still above the tolerance 1e-06.
INFO - 08:28:50: 91%|█████████ | 91/100 [00:01<00:00, 45.66 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 91%|█████████ | 91/100 [00:01<00:00, 45.66 it/sec, feas=False, obj=-3.92e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.5198708905547502e-05 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.5198708905547502e-05 is still above the tolerance 1e-06.
INFO - 08:28:50: 92%|█████████▏| 92/100 [00:02<00:00, 45.57 it/sec, feas=False, obj=-3.9e+3]
INFO - 08:28:50: 92%|█████████▏| 92/100 [00:02<00:00, 45.57 it/sec, feas=False, obj=-3.9e+3]
INFO - 08:28:50: 93%|█████████▎| 93/100 [00:02<00:00, 45.59 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 93%|█████████▎| 93/100 [00:02<00:00, 45.59 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 94%|█████████▍| 94/100 [00:02<00:00, 45.62 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 94%|█████████▍| 94/100 [00:02<00:00, 45.62 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 95%|█████████▌| 95/100 [00:02<00:00, 45.63 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 95%|█████████▌| 95/100 [00:02<00:00, 45.63 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:50: 96%|█████████▌| 96/100 [00:02<00:00, 45.65 it/sec, feas=True, obj=-3.94e+3]
INFO - 08:28:50: 96%|█████████▌| 96/100 [00:02<00:00, 45.65 it/sec, feas=True, obj=-3.94e+3]
INFO - 08:28:50: 97%|█████████▋| 97/100 [00:02<00:00, 45.68 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 97%|█████████▋| 97/100 [00:02<00:00, 45.68 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 98%|█████████▊| 98/100 [00:02<00:00, 45.66 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 98%|█████████▊| 98/100 [00:02<00:00, 45.66 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:50: 99%|█████████▉| 99/100 [00:02<00:00, 45.68 it/sec, feas=False, obj=-3.91e+3]
INFO - 08:28:50: 99%|█████████▉| 99/100 [00:02<00:00, 45.68 it/sec, feas=False, obj=-3.91e+3]
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.842849391330206e-05 is still above the tolerance 1e-06.
WARNING - 08:28:50: MDAJacobi has reached its maximum number of iterations, but the normalized residual norm 1.842849391330206e-05 is still above the tolerance 1e-06.
INFO - 08:28:50: 100%|██████████| 100/100 [00:02<00:00, 45.61 it/sec, feas=False, obj=-3.93e+3]
INFO - 08:28:50: 100%|██████████| 100/100 [00:02<00:00, 45.61 it/sec, feas=False, obj=-3.93e+3]
INFO - 08:28:50: Optimization result:
INFO - 08:28:50: Optimizer info:
INFO - 08:28:50: Status: None
INFO - 08:28:50: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:50: Solution:
INFO - 08:28:50: Optimization result:
INFO - 08:28:50: Optimizer info:
INFO - 08:28:50: Status: None
INFO - 08:28:50: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:50: Solution:
INFO - 08:28:50: The solution is feasible.
INFO - 08:28:50: The solution is feasible.
INFO - 08:28:50: Objective: -3963.3793053483255
INFO - 08:28:50: Standardized constraints:
INFO - 08:28:50: g_1 = [-0.01805093 -0.03333915 -0.04424381 -0.05182998 -0.05732217 -0.13720865
INFO - 08:28:50: -0.10279135]
INFO - 08:28:50: g_2 = 0.0
INFO - 08:28:50: g_3 = [-7.67185581e-01 -2.32814419e-01 -1.20219524e-06 -1.83255000e-01]
INFO - 08:28:50: Objective: -3963.3793053483255
INFO - 08:28:50: Standardized constraints:
INFO - 08:28:50: g_1 = [-0.01805093 -0.03333915 -0.04424381 -0.05182998 -0.05732217 -0.13720865
INFO - 08:28:50: -0.10279135]
INFO - 08:28:50: g_2 = 0.0
INFO - 08:28:50: g_3 = [-7.67185581e-01 -2.32814419e-01 -1.20219524e-06 -1.83255000e-01]
INFO - 08:28:50: Design space:
INFO - 08:28:50: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:50: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:50: | x_shared[0] | 0.01 | 0.05999999999999999 | 0.09 | float |
INFO - 08:28:50: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:50: | x_shared[2] | 1.4 | 1.4 | 1.8 | float |
INFO - 08:28:50: | x_shared[3] | 2.5 | 2.500000000000015 | 8.5 | float |
INFO - 08:28:50: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:50: | x_shared[5] | 500 | 1500 | 1500 | float |
INFO - 08:28:50: | x_1[0] | 0.1 | 0.4 | 0.4 | float |
INFO - 08:28:50: | x_1[1] | 0.75 | 0.7500000000000009 | 1.25 | float |
INFO - 08:28:50: | x_2 | 0.75 | 0.7500000000000089 | 1.25 | float |
INFO - 08:28:50: | x_3 | 0.1 | 0.1562445578095981 | 1 | float |
INFO - 08:28:50: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:50: Design space:
INFO - 08:28:50: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:50: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:50: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:50: | x_shared[0] | 0.01 | 0.05999999999999999 | 0.09 | float |
INFO - 08:28:50: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:50: | x_shared[2] | 1.4 | 1.4 | 1.8 | float |
INFO - 08:28:50: | x_shared[3] | 2.5 | 2.500000000000015 | 8.5 | float |
INFO - 08:28:50: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:50: | x_shared[5] | 500 | 1500 | 1500 | float |
INFO - 08:28:50: | x_1[0] | 0.1 | 0.4 | 0.4 | float |
INFO - 08:28:50: | x_1[1] | 0.75 | 0.7500000000000009 | 1.25 | float |
INFO - 08:28:50: | x_2 | 0.75 | 0.7500000000000089 | 1.25 | float |
INFO - 08:28:50: | x_3 | 0.1 | 0.1562445578095981 | 1 | float |
INFO - 08:28:50: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:50: *** End MDOScenario execution ***
INFO - 08:28:50: *** End MDOScenario execution ***
Conclusion¶
JAX is about 4 times faster than NumPy in the case of an optimization loop with a Jacobi MDA.
MDF with MDAGaussSeidel¶
Solve the Sobieski's SSBJ problem with JAX¶
chain = JAXSobieskiChain()
mod_scenario = MDOScenario(
[chain],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
main_mda_settings={"inner_mda_name": "MDAGaussSeidel"},
)
mod_scenario.add_constraint("g_1", "ineq")
mod_scenario.add_constraint("g_2", "ineq")
mod_scenario.add_constraint("g_3", "ineq")
mod_scenario.execute(algo_name="NLOPT_COBYLA", max_iter=100)
Out:
INFO - 08:28:51: Compilation of the output function JAXSobieskiChain: 0:00:00.310465 seconds.
INFO - 08:28:51: Compilation of the output function JAXSobieskiChain: 0:00:00.310465 seconds.
INFO - 08:28:51: Compilation of the Jacobian function JAXSobieskiChain: 0:00:00.927942 seconds.
INFO - 08:28:51: Compilation of the Jacobian function JAXSobieskiChain: 0:00:00.927942 seconds.
INFO - 08:28:51: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_14 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_24 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_34 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_23 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: Variable y_21 was removed from the Design Space, it is not an input of any discipline.
INFO - 08:28:51: *** Start MDOScenario execution ***
INFO - 08:28:51: *** Start MDOScenario execution ***
INFO - 08:28:51: MDOScenario
INFO - 08:28:51: Disciplines: JAXSobieskiChain
INFO - 08:28:51: MDO formulation: MDF
INFO - 08:28:51: MDOScenario
INFO - 08:28:51: Disciplines: JAXSobieskiChain
INFO - 08:28:51: MDO formulation: MDF
INFO - 08:28:51: Optimization problem:
INFO - 08:28:51: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:51: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:51: under the inequality constraints
INFO - 08:28:51: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:51: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:51: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:51: Optimization problem:
INFO - 08:28:51: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:51: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:51: under the inequality constraints
INFO - 08:28:51: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:51: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:51: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:51: over the design space:
INFO - 08:28:51: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:51: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:51: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:51: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:51: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:51: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:51: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:51: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:51: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:51: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:51: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:51: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:51: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:51: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:51: over the design space:
INFO - 08:28:51: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:51: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:51: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:51: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:51: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:51: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:51: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:51: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:51: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:51: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:51: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:51: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:51: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:51: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:51: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:51: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:51: 1%| | 1/100 [00:00<00:00, 216.82 it/sec, feas=False, obj=-536]
INFO - 08:28:51: 1%| | 1/100 [00:00<00:00, 216.82 it/sec, feas=False, obj=-536]
INFO - 08:28:51: 2%|▏ | 2/100 [00:00<00:00, 199.62 it/sec, feas=False, obj=-539]
INFO - 08:28:51: 2%|▏ | 2/100 [00:00<00:00, 199.62 it/sec, feas=False, obj=-539]
INFO - 08:28:51: 3%|▎ | 3/100 [00:00<00:00, 198.99 it/sec, feas=False, obj=-763]
INFO - 08:28:51: 3%|▎ | 3/100 [00:00<00:00, 198.99 it/sec, feas=False, obj=-763]
INFO - 08:28:51: 4%|▍ | 4/100 [00:00<00:00, 194.68 it/sec, feas=False, obj=-713]
INFO - 08:28:51: 4%|▍ | 4/100 [00:00<00:00, 194.68 it/sec, feas=False, obj=-713]
INFO - 08:28:51: 5%|▌ | 5/100 [00:00<00:00, 193.85 it/sec, feas=False, obj=-687]
INFO - 08:28:51: 5%|▌ | 5/100 [00:00<00:00, 193.85 it/sec, feas=False, obj=-687]
INFO - 08:28:51: 6%|▌ | 6/100 [00:00<00:00, 192.85 it/sec, feas=False, obj=-897]
INFO - 08:28:51: 6%|▌ | 6/100 [00:00<00:00, 192.85 it/sec, feas=False, obj=-897]
INFO - 08:28:51: 7%|▋ | 7/100 [00:00<00:00, 190.80 it/sec, feas=False, obj=-957]
INFO - 08:28:51: 7%|▋ | 7/100 [00:00<00:00, 190.80 it/sec, feas=False, obj=-957]
INFO - 08:28:51: 8%|▊ | 8/100 [00:00<00:00, 185.69 it/sec, feas=False, obj=-956]
INFO - 08:28:51: 8%|▊ | 8/100 [00:00<00:00, 185.69 it/sec, feas=False, obj=-956]
INFO - 08:28:51: 9%|▉ | 9/100 [00:00<00:00, 178.52 it/sec, feas=False, obj=-930]
INFO - 08:28:51: 9%|▉ | 9/100 [00:00<00:00, 178.52 it/sec, feas=False, obj=-930]
INFO - 08:28:51: 10%|█ | 10/100 [00:00<00:00, 178.53 it/sec, feas=False, obj=-943]
INFO - 08:28:51: 10%|█ | 10/100 [00:00<00:00, 178.53 it/sec, feas=False, obj=-943]
INFO - 08:28:51: 11%|█ | 11/100 [00:00<00:00, 178.42 it/sec, feas=False, obj=-768]
INFO - 08:28:51: 11%|█ | 11/100 [00:00<00:00, 178.42 it/sec, feas=False, obj=-768]
INFO - 08:28:51: 12%|█▏ | 12/100 [00:00<00:00, 176.97 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:51: 12%|█▏ | 12/100 [00:00<00:00, 176.97 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:51: 13%|█▎ | 13/100 [00:00<00:00, 174.85 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:51: 13%|█▎ | 13/100 [00:00<00:00, 174.85 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:51: 14%|█▍ | 14/100 [00:00<00:00, 172.08 it/sec, feas=False, obj=-1.85e+3]
INFO - 08:28:51: 14%|█▍ | 14/100 [00:00<00:00, 172.08 it/sec, feas=False, obj=-1.85e+3]
WARNING - 08:28:51: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.5897449414804664e-05 is still above the tolerance 1e-06.
WARNING - 08:28:51: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.5897449414804664e-05 is still above the tolerance 1e-06.
INFO - 08:28:51: 15%|█▌ | 15/100 [00:00<00:00, 167.97 it/sec, feas=False, obj=-1.87e+3]
INFO - 08:28:51: 15%|█▌ | 15/100 [00:00<00:00, 167.97 it/sec, feas=False, obj=-1.87e+3]
WARNING - 08:28:51: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 3.1764060178304437e-06 is still above the tolerance 1e-06.
WARNING - 08:28:51: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 3.1764060178304437e-06 is still above the tolerance 1e-06.
INFO - 08:28:51: 16%|█▌ | 16/100 [00:00<00:00, 164.61 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:51: 16%|█▌ | 16/100 [00:00<00:00, 164.61 it/sec, feas=True, obj=-1.99e+3]
WARNING - 08:28:51: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.2161314217002324e-06 is still above the tolerance 1e-06.
WARNING - 08:28:51: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.2161314217002324e-06 is still above the tolerance 1e-06.
INFO - 08:28:51: 17%|█▋ | 17/100 [00:00<00:00, 160.84 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:51: 17%|█▋ | 17/100 [00:00<00:00, 160.84 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:51: 18%|█▊ | 18/100 [00:00<00:00, 158.26 it/sec, feas=False, obj=-2.51e+3]
INFO - 08:28:51: 18%|█▊ | 18/100 [00:00<00:00, 158.26 it/sec, feas=False, obj=-2.51e+3]
INFO - 08:28:51: 19%|█▉ | 19/100 [00:00<00:00, 157.63 it/sec, feas=False, obj=-2.92e+3]
INFO - 08:28:51: 19%|█▉ | 19/100 [00:00<00:00, 157.63 it/sec, feas=False, obj=-2.92e+3]
INFO - 08:28:51: 20%|██ | 20/100 [00:00<00:00, 157.90 it/sec, feas=True, obj=-3.03e+3]
INFO - 08:28:51: 20%|██ | 20/100 [00:00<00:00, 157.90 it/sec, feas=True, obj=-3.03e+3]
INFO - 08:28:51: 21%|██ | 21/100 [00:00<00:00, 159.35 it/sec, feas=False, obj=-3.16e+3]
INFO - 08:28:51: 21%|██ | 21/100 [00:00<00:00, 159.35 it/sec, feas=False, obj=-3.16e+3]
INFO - 08:28:51: 22%|██▏ | 22/100 [00:00<00:00, 158.46 it/sec, feas=True, obj=-2.75e+3]
INFO - 08:28:51: 22%|██▏ | 22/100 [00:00<00:00, 158.46 it/sec, feas=True, obj=-2.75e+3]
INFO - 08:28:51: 23%|██▎ | 23/100 [00:00<00:00, 159.42 it/sec, feas=False, obj=-2.61e+3]
INFO - 08:28:51: 23%|██▎ | 23/100 [00:00<00:00, 159.42 it/sec, feas=False, obj=-2.61e+3]
INFO - 08:28:51: 24%|██▍ | 24/100 [00:00<00:00, 160.33 it/sec, feas=True, obj=-2.22e+3]
INFO - 08:28:51: 24%|██▍ | 24/100 [00:00<00:00, 160.33 it/sec, feas=True, obj=-2.22e+3]
INFO - 08:28:51: 25%|██▌ | 25/100 [00:00<00:00, 161.52 it/sec, feas=False, obj=-2.95e+3]
INFO - 08:28:51: 25%|██▌ | 25/100 [00:00<00:00, 161.52 it/sec, feas=False, obj=-2.95e+3]
INFO - 08:28:51: 26%|██▌ | 26/100 [00:00<00:00, 163.11 it/sec, feas=False, obj=-3.3e+3]
INFO - 08:28:51: 26%|██▌ | 26/100 [00:00<00:00, 163.11 it/sec, feas=False, obj=-3.3e+3]
INFO - 08:28:51: 27%|██▋ | 27/100 [00:00<00:00, 164.54 it/sec, feas=False, obj=-3.22e+3]
INFO - 08:28:51: 27%|██▋ | 27/100 [00:00<00:00, 164.54 it/sec, feas=False, obj=-3.22e+3]
INFO - 08:28:51: 28%|██▊ | 28/100 [00:00<00:00, 164.92 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:51: 28%|██▊ | 28/100 [00:00<00:00, 164.92 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:51: 29%|██▉ | 29/100 [00:00<00:00, 165.73 it/sec, feas=False, obj=-3.57e+3]
INFO - 08:28:51: 29%|██▉ | 29/100 [00:00<00:00, 165.73 it/sec, feas=False, obj=-3.57e+3]
INFO - 08:28:51: 30%|███ | 30/100 [00:00<00:00, 165.27 it/sec, feas=True, obj=-3.13e+3]
INFO - 08:28:51: 30%|███ | 30/100 [00:00<00:00, 165.27 it/sec, feas=True, obj=-3.13e+3]
INFO - 08:28:51: 31%|███ | 31/100 [00:00<00:00, 166.20 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:51: 31%|███ | 31/100 [00:00<00:00, 166.20 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:51: 32%|███▏ | 32/100 [00:00<00:00, 166.48 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:51: 32%|███▏ | 32/100 [00:00<00:00, 166.48 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:51: 33%|███▎ | 33/100 [00:00<00:00, 167.29 it/sec, feas=False, obj=-3.27e+3]
INFO - 08:28:51: 33%|███▎ | 33/100 [00:00<00:00, 167.29 it/sec, feas=False, obj=-3.27e+3]
INFO - 08:28:51: 34%|███▍ | 34/100 [00:00<00:00, 167.21 it/sec, feas=True, obj=-3.56e+3]
INFO - 08:28:51: 34%|███▍ | 34/100 [00:00<00:00, 167.21 it/sec, feas=True, obj=-3.56e+3]
INFO - 08:28:51: 35%|███▌ | 35/100 [00:00<00:00, 167.66 it/sec, feas=True, obj=-3.81e+3]
INFO - 08:28:51: 35%|███▌ | 35/100 [00:00<00:00, 167.66 it/sec, feas=True, obj=-3.81e+3]
INFO - 08:28:51: 36%|███▌ | 36/100 [00:00<00:00, 168.42 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:51: 36%|███▌ | 36/100 [00:00<00:00, 168.42 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:51: 37%|███▋ | 37/100 [00:00<00:00, 168.38 it/sec, feas=False, obj=-3.5e+3]
INFO - 08:28:51: 37%|███▋ | 37/100 [00:00<00:00, 168.38 it/sec, feas=False, obj=-3.5e+3]
INFO - 08:28:51: 38%|███▊ | 38/100 [00:00<00:00, 169.26 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:51: 38%|███▊ | 38/100 [00:00<00:00, 169.26 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 39%|███▉ | 39/100 [00:00<00:00, 169.25 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:52: 39%|███▉ | 39/100 [00:00<00:00, 169.25 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:52: 40%|████ | 40/100 [00:00<00:00, 170.02 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 40%|████ | 40/100 [00:00<00:00, 170.02 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 41%|████ | 41/100 [00:00<00:00, 170.28 it/sec, feas=False, obj=-3.54e+3]
INFO - 08:28:52: 41%|████ | 41/100 [00:00<00:00, 170.28 it/sec, feas=False, obj=-3.54e+3]
INFO - 08:28:52: 42%|████▏ | 42/100 [00:00<00:00, 171.01 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 42%|████▏ | 42/100 [00:00<00:00, 171.01 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 43%|████▎ | 43/100 [00:00<00:00, 170.78 it/sec, feas=False, obj=-3.53e+3]
INFO - 08:28:52: 43%|████▎ | 43/100 [00:00<00:00, 170.78 it/sec, feas=False, obj=-3.53e+3]
INFO - 08:28:52: 44%|████▍ | 44/100 [00:00<00:00, 171.55 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 44%|████▍ | 44/100 [00:00<00:00, 171.55 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 45%|████▌ | 45/100 [00:00<00:00, 171.73 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:52: 45%|████▌ | 45/100 [00:00<00:00, 171.73 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:52: 46%|████▌ | 46/100 [00:00<00:00, 172.50 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 46%|████▌ | 46/100 [00:00<00:00, 172.50 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 47%|████▋ | 47/100 [00:00<00:00, 173.06 it/sec, feas=False, obj=-3.37e+3]
INFO - 08:28:52: 47%|████▋ | 47/100 [00:00<00:00, 173.06 it/sec, feas=False, obj=-3.37e+3]
INFO - 08:28:52: 48%|████▊ | 48/100 [00:00<00:00, 174.04 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 48%|████▊ | 48/100 [00:00<00:00, 174.04 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 49%|████▉ | 49/100 [00:00<00:00, 173.71 it/sec, feas=False, obj=-3.13e+3]
INFO - 08:28:52: 49%|████▉ | 49/100 [00:00<00:00, 173.71 it/sec, feas=False, obj=-3.13e+3]
INFO - 08:28:52: 50%|█████ | 50/100 [00:00<00:00, 174.54 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 50%|█████ | 50/100 [00:00<00:00, 174.54 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 51%|█████ | 51/100 [00:00<00:00, 175.00 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 51%|█████ | 51/100 [00:00<00:00, 175.00 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 52%|█████▏ | 52/100 [00:00<00:00, 175.38 it/sec, feas=True, obj=-3.69e+3]
INFO - 08:28:52: 52%|█████▏ | 52/100 [00:00<00:00, 175.38 it/sec, feas=True, obj=-3.69e+3]
INFO - 08:28:52: 53%|█████▎ | 53/100 [00:00<00:00, 175.31 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:52: 53%|█████▎ | 53/100 [00:00<00:00, 175.31 it/sec, feas=False, obj=-3.43e+3]
INFO - 08:28:52: 54%|█████▍ | 54/100 [00:00<00:00, 175.77 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 54%|█████▍ | 54/100 [00:00<00:00, 175.77 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 55%|█████▌ | 55/100 [00:00<00:00, 175.67 it/sec, feas=False, obj=-3.44e+3]
INFO - 08:28:52: 55%|█████▌ | 55/100 [00:00<00:00, 175.67 it/sec, feas=False, obj=-3.44e+3]
INFO - 08:28:52: 56%|█████▌ | 56/100 [00:00<00:00, 176.13 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 56%|█████▌ | 56/100 [00:00<00:00, 176.13 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 57%|█████▋ | 57/100 [00:00<00:00, 176.05 it/sec, feas=False, obj=-3.38e+3]
INFO - 08:28:52: 57%|█████▋ | 57/100 [00:00<00:00, 176.05 it/sec, feas=False, obj=-3.38e+3]
INFO - 08:28:52: 58%|█████▊ | 58/100 [00:00<00:00, 176.45 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 58%|█████▊ | 58/100 [00:00<00:00, 176.45 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 59%|█████▉ | 59/100 [00:00<00:00, 176.46 it/sec, feas=True, obj=-3.51e+3]
INFO - 08:28:52: 59%|█████▉ | 59/100 [00:00<00:00, 176.46 it/sec, feas=True, obj=-3.51e+3]
INFO - 08:28:52: 60%|██████ | 60/100 [00:00<00:00, 177.00 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 60%|██████ | 60/100 [00:00<00:00, 177.00 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 61%|██████ | 61/100 [00:00<00:00, 177.05 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:52: 61%|██████ | 61/100 [00:00<00:00, 177.05 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:52: 62%|██████▏ | 62/100 [00:00<00:00, 177.51 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 62%|██████▏ | 62/100 [00:00<00:00, 177.51 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 63%|██████▎ | 63/100 [00:00<00:00, 177.57 it/sec, feas=False, obj=-3.37e+3]
INFO - 08:28:52: 63%|██████▎ | 63/100 [00:00<00:00, 177.57 it/sec, feas=False, obj=-3.37e+3]
INFO - 08:28:52: 64%|██████▍ | 64/100 [00:00<00:00, 177.98 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 64%|██████▍ | 64/100 [00:00<00:00, 177.98 it/sec, feas=False, obj=-3.7e+3]
INFO - 08:28:52: 65%|██████▌ | 65/100 [00:00<00:00, 178.39 it/sec, feas=False, obj=-3.76e+3]
INFO - 08:28:52: 65%|██████▌ | 65/100 [00:00<00:00, 178.39 it/sec, feas=False, obj=-3.76e+3]
INFO - 08:28:52: 66%|██████▌ | 66/100 [00:00<00:00, 178.27 it/sec, feas=False, obj=-3.6e+3]
INFO - 08:28:52: 66%|██████▌ | 66/100 [00:00<00:00, 178.27 it/sec, feas=False, obj=-3.6e+3]
INFO - 08:28:52: 67%|██████▋ | 67/100 [00:00<00:00, 178.71 it/sec, feas=False, obj=-3.76e+3]
INFO - 08:28:52: 67%|██████▋ | 67/100 [00:00<00:00, 178.71 it/sec, feas=False, obj=-3.76e+3]
INFO - 08:28:52: 68%|██████▊ | 68/100 [00:00<00:00, 178.89 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:52: 68%|██████▊ | 68/100 [00:00<00:00, 178.89 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:52: 69%|██████▉ | 69/100 [00:00<00:00, 178.62 it/sec, feas=False, obj=-3.89e+3]
INFO - 08:28:52: 69%|██████▉ | 69/100 [00:00<00:00, 178.62 it/sec, feas=False, obj=-3.89e+3]
INFO - 08:28:52: 70%|███████ | 70/100 [00:00<00:00, 178.24 it/sec, feas=True, obj=-3.84e+3]
INFO - 08:28:52: 70%|███████ | 70/100 [00:00<00:00, 178.24 it/sec, feas=True, obj=-3.84e+3]
INFO - 08:28:52: 71%|███████ | 71/100 [00:00<00:00, 177.83 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:52: 71%|███████ | 71/100 [00:00<00:00, 177.83 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:52: 72%|███████▏ | 72/100 [00:00<00:00, 177.23 it/sec, feas=True, obj=-3.93e+3]
INFO - 08:28:52: 72%|███████▏ | 72/100 [00:00<00:00, 177.23 it/sec, feas=True, obj=-3.93e+3]
INFO - 08:28:52: 73%|███████▎ | 73/100 [00:00<00:00, 176.92 it/sec, feas=True, obj=-3.9e+3]
INFO - 08:28:52: 73%|███████▎ | 73/100 [00:00<00:00, 176.92 it/sec, feas=True, obj=-3.9e+3]
INFO - 08:28:52: 74%|███████▍ | 74/100 [00:00<00:00, 176.51 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:52: 74%|███████▍ | 74/100 [00:00<00:00, 176.51 it/sec, feas=False, obj=-3.67e+3]
INFO - 08:28:52: 75%|███████▌ | 75/100 [00:00<00:00, 176.14 it/sec, feas=True, obj=-3.9e+3]
INFO - 08:28:52: 75%|███████▌ | 75/100 [00:00<00:00, 176.14 it/sec, feas=True, obj=-3.9e+3]
INFO - 08:28:52: 76%|███████▌ | 76/100 [00:00<00:00, 175.76 it/sec, feas=False, obj=-3.8e+3]
INFO - 08:28:52: 76%|███████▌ | 76/100 [00:00<00:00, 175.76 it/sec, feas=False, obj=-3.8e+3]
INFO - 08:28:52: 77%|███████▋ | 77/100 [00:00<00:00, 175.54 it/sec, feas=False, obj=-3.9e+3]
INFO - 08:28:52: 77%|███████▋ | 77/100 [00:00<00:00, 175.54 it/sec, feas=False, obj=-3.9e+3]
INFO - 08:28:52: 78%|███████▊ | 78/100 [00:00<00:00, 175.30 it/sec, feas=False, obj=-3.78e+3]
INFO - 08:28:52: 78%|███████▊ | 78/100 [00:00<00:00, 175.30 it/sec, feas=False, obj=-3.78e+3]
INFO - 08:28:52: 79%|███████▉ | 79/100 [00:00<00:00, 175.09 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 79%|███████▉ | 79/100 [00:00<00:00, 175.09 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 80%|████████ | 80/100 [00:00<00:00, 174.90 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 80%|████████ | 80/100 [00:00<00:00, 174.90 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 81%|████████ | 81/100 [00:00<00:00, 174.56 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 81%|████████ | 81/100 [00:00<00:00, 174.56 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 82%|████████▏ | 82/100 [00:00<00:00, 174.29 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 82%|████████▏ | 82/100 [00:00<00:00, 174.29 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 83%|████████▎ | 83/100 [00:00<00:00, 174.04 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 83%|████████▎ | 83/100 [00:00<00:00, 174.04 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 84%|████████▍ | 84/100 [00:00<00:00, 173.79 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 84%|████████▍ | 84/100 [00:00<00:00, 173.79 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 85%|████████▌ | 85/100 [00:00<00:00, 173.61 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 85%|████████▌ | 85/100 [00:00<00:00, 173.61 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 86%|████████▌ | 86/100 [00:00<00:00, 173.46 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 86%|████████▌ | 86/100 [00:00<00:00, 173.46 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 87%|████████▋ | 87/100 [00:00<00:00, 173.27 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 87%|████████▋ | 87/100 [00:00<00:00, 173.27 it/sec, feas=True, obj=-3.96e+3]
INFO - 08:28:52: 88%|████████▊ | 88/100 [00:00<00:00, 173.13 it/sec, feas=False, obj=-3.72e+3]
INFO - 08:28:52: 88%|████████▊ | 88/100 [00:00<00:00, 173.13 it/sec, feas=False, obj=-3.72e+3]
INFO - 08:28:52: 89%|████████▉ | 89/100 [00:00<00:00, 173.12 it/sec, feas=False, obj=-3.77e+3]
INFO - 08:28:52: 89%|████████▉ | 89/100 [00:00<00:00, 173.12 it/sec, feas=False, obj=-3.77e+3]
INFO - 08:28:52: 90%|█████████ | 90/100 [00:00<00:00, 173.06 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:52: 90%|█████████ | 90/100 [00:00<00:00, 173.06 it/sec, feas=False, obj=-3.79e+3]
INFO - 08:28:52: 91%|█████████ | 91/100 [00:00<00:00, 172.99 it/sec, feas=False, obj=-3.78e+3]
INFO - 08:28:52: 91%|█████████ | 91/100 [00:00<00:00, 172.99 it/sec, feas=False, obj=-3.78e+3]
INFO - 08:28:52: 92%|█████████▏| 92/100 [00:00<00:00, 172.98 it/sec, feas=False, obj=-4.09e+3]
INFO - 08:28:52: 92%|█████████▏| 92/100 [00:00<00:00, 172.98 it/sec, feas=False, obj=-4.09e+3]
INFO - 08:28:52: 93%|█████████▎| 93/100 [00:00<00:00, 172.87 it/sec, feas=False, obj=-3.64e+3]
INFO - 08:28:52: 93%|█████████▎| 93/100 [00:00<00:00, 172.87 it/sec, feas=False, obj=-3.64e+3]
INFO - 08:28:52: 94%|█████████▍| 94/100 [00:00<00:00, 172.80 it/sec, feas=False, obj=-3.8e+3]
INFO - 08:28:52: 94%|█████████▍| 94/100 [00:00<00:00, 172.80 it/sec, feas=False, obj=-3.8e+3]
INFO - 08:28:52: 95%|█████████▌| 95/100 [00:00<00:00, 172.72 it/sec, feas=False, obj=-4.1e+3]
INFO - 08:28:52: 95%|█████████▌| 95/100 [00:00<00:00, 172.72 it/sec, feas=False, obj=-4.1e+3]
INFO - 08:28:52: 96%|█████████▌| 96/100 [00:00<00:00, 172.64 it/sec, feas=False, obj=-4.01e+3]
INFO - 08:28:52: 96%|█████████▌| 96/100 [00:00<00:00, 172.64 it/sec, feas=False, obj=-4.01e+3]
INFO - 08:28:52: 97%|█████████▋| 97/100 [00:00<00:00, 172.52 it/sec, feas=True, obj=-3.95e+3]
INFO - 08:28:52: 97%|█████████▋| 97/100 [00:00<00:00, 172.52 it/sec, feas=True, obj=-3.95e+3]
INFO - 08:28:52: 98%|█████████▊| 98/100 [00:00<00:00, 172.49 it/sec, feas=False, obj=-4.17e+3]
INFO - 08:28:52: 98%|█████████▊| 98/100 [00:00<00:00, 172.49 it/sec, feas=False, obj=-4.17e+3]
INFO - 08:28:52: 99%|█████████▉| 99/100 [00:00<00:00, 172.30 it/sec, feas=True, obj=-3.67e+3]
INFO - 08:28:52: 99%|█████████▉| 99/100 [00:00<00:00, 172.30 it/sec, feas=True, obj=-3.67e+3]
INFO - 08:28:52: 100%|██████████| 100/100 [00:00<00:00, 172.19 it/sec, feas=True, obj=-3.71e+3]
INFO - 08:28:52: 100%|██████████| 100/100 [00:00<00:00, 172.19 it/sec, feas=True, obj=-3.71e+3]
INFO - 08:28:52: Optimization result:
INFO - 08:28:52: Optimizer info:
INFO - 08:28:52: Status: None
INFO - 08:28:52: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:52: Solution:
INFO - 08:28:52: Optimization result:
INFO - 08:28:52: Optimizer info:
INFO - 08:28:52: Status: None
INFO - 08:28:52: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:52: Solution:
INFO - 08:28:52: The solution is feasible.
INFO - 08:28:52: The solution is feasible.
INFO - 08:28:52: Objective: -3963.3800122141256
INFO - 08:28:52: Standardized constraints:
INFO - 08:28:52: g_1 = [-0.01805093 -0.03333915 -0.04424381 -0.05182998 -0.05732217 -0.13720865
INFO - 08:28:52: -0.10279135]
INFO - 08:28:52: g_2 = 0.0
INFO - 08:28:52: g_3 = [-7.67186463e-01 -2.32813537e-01 -9.08552122e-11 -1.83255000e-01]
INFO - 08:28:52: Objective: -3963.3800122141256
INFO - 08:28:52: Standardized constraints:
INFO - 08:28:52: g_1 = [-0.01805093 -0.03333915 -0.04424381 -0.05182998 -0.05732217 -0.13720865
INFO - 08:28:52: -0.10279135]
INFO - 08:28:52: g_2 = 0.0
INFO - 08:28:52: g_3 = [-7.67186463e-01 -2.32813537e-01 -9.08552122e-11 -1.83255000e-01]
INFO - 08:28:52: Design space:
INFO - 08:28:52: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:52: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:52: | x_shared[0] | 0.01 | 0.06000000000000003 | 0.09 | float |
INFO - 08:28:52: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:52: | x_shared[2] | 1.4 | 1.4 | 1.8 | float |
INFO - 08:28:52: | x_shared[3] | 2.5 | 2.5 | 8.5 | float |
INFO - 08:28:52: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:52: | x_shared[5] | 500 | 1500 | 1500 | float |
INFO - 08:28:52: | x_1[0] | 0.1 | 0.4 | 0.4 | float |
INFO - 08:28:52: | x_1[1] | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:52: | x_2 | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:52: | x_3 | 0.1 | 0.1562447456320918 | 1 | float |
INFO - 08:28:52: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:52: Design space:
INFO - 08:28:52: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:52: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:52: | x_shared[0] | 0.01 | 0.06000000000000003 | 0.09 | float |
INFO - 08:28:52: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:52: | x_shared[2] | 1.4 | 1.4 | 1.8 | float |
INFO - 08:28:52: | x_shared[3] | 2.5 | 2.5 | 8.5 | float |
INFO - 08:28:52: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:52: | x_shared[5] | 500 | 1500 | 1500 | float |
INFO - 08:28:52: | x_1[0] | 0.1 | 0.4 | 0.4 | float |
INFO - 08:28:52: | x_1[1] | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:52: | x_2 | 0.75 | 0.75 | 1.25 | float |
INFO - 08:28:52: | x_3 | 0.1 | 0.1562447456320918 | 1 | float |
INFO - 08:28:52: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:52: *** End MDOScenario execution ***
INFO - 08:28:52: *** End MDOScenario execution ***
Solve the Sobieski's SSBJ problem with NumPy¶
mod_scenario = MDOScenario(
[
SobieskiStructure(),
SobieskiAerodynamics(),
SobieskiPropulsion(),
SobieskiMission(),
],
"y_4",
SobieskiDesignSpace(),
maximize_objective=True,
formulation_name="MDF",
main_mda_settings={"inner_mda_name": "MDAGaussSeidel"},
)
mod_scenario.add_constraint("g_1", "ineq")
mod_scenario.add_constraint("g_2", "ineq")
mod_scenario.add_constraint("g_3", "ineq")
mod_scenario.execute(algo_name="NLOPT_COBYLA", max_iter=100)
Out:
INFO - 08:28:52: *** Start MDOScenario execution ***
INFO - 08:28:52: *** Start MDOScenario execution ***
INFO - 08:28:52: MDOScenario
INFO - 08:28:52: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:52: MDO formulation: MDF
INFO - 08:28:52: MDOScenario
INFO - 08:28:52: Disciplines: SobieskiAerodynamics SobieskiMission SobieskiPropulsion SobieskiStructure
INFO - 08:28:52: MDO formulation: MDF
INFO - 08:28:52: Optimization problem:
INFO - 08:28:52: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:52: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:52: under the inequality constraints
INFO - 08:28:52: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:52: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:52: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:52: Optimization problem:
INFO - 08:28:52: minimize -y_4(x_shared, x_1, x_2, x_3)
INFO - 08:28:52: with respect to x_1, x_2, x_3, x_shared
INFO - 08:28:52: under the inequality constraints
INFO - 08:28:52: g_1(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:52: g_2(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:52: g_3(x_shared, x_1, x_2, x_3) <= 0
INFO - 08:28:52: over the design space:
INFO - 08:28:52: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:52: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:52: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:52: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:52: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:52: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:52: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:52: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:52: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:52: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:52: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:52: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:52: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:52: over the design space:
INFO - 08:28:52: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:52: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:52: | x_shared[0] | 0.01 | 0.05 | 0.09 | float |
INFO - 08:28:52: | x_shared[1] | 30000 | 45000 | 60000 | float |
INFO - 08:28:52: | x_shared[2] | 1.4 | 1.6 | 1.8 | float |
INFO - 08:28:52: | x_shared[3] | 2.5 | 5.5 | 8.5 | float |
INFO - 08:28:52: | x_shared[4] | 40 | 55 | 70 | float |
INFO - 08:28:52: | x_shared[5] | 500 | 1000 | 1500 | float |
INFO - 08:28:52: | x_1[0] | 0.1 | 0.25 | 0.4 | float |
INFO - 08:28:52: | x_1[1] | 0.75 | 1 | 1.25 | float |
INFO - 08:28:52: | x_2 | 0.75 | 1 | 1.25 | float |
INFO - 08:28:52: | x_3 | 0.1 | 0.5 | 1 | float |
INFO - 08:28:52: +-------------+-------------+-------+-------------+-------+
INFO - 08:28:52: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:52: Solving optimization problem with algorithm NLOPT_COBYLA:
INFO - 08:28:52: 1%| | 1/100 [00:00<00:00, 151.06 it/sec, feas=False, obj=-536]
INFO - 08:28:52: 1%| | 1/100 [00:00<00:00, 151.06 it/sec, feas=False, obj=-536]
INFO - 08:28:52: 2%|▏ | 2/100 [00:00<00:00, 132.61 it/sec, feas=False, obj=-539]
INFO - 08:28:52: 2%|▏ | 2/100 [00:00<00:00, 132.61 it/sec, feas=False, obj=-539]
INFO - 08:28:52: 3%|▎ | 3/100 [00:00<00:00, 129.57 it/sec, feas=False, obj=-763]
INFO - 08:28:52: 3%|▎ | 3/100 [00:00<00:00, 129.57 it/sec, feas=False, obj=-763]
INFO - 08:28:52: 4%|▍ | 4/100 [00:00<00:00, 128.69 it/sec, feas=False, obj=-713]
INFO - 08:28:52: 4%|▍ | 4/100 [00:00<00:00, 128.69 it/sec, feas=False, obj=-713]
INFO - 08:28:52: 5%|▌ | 5/100 [00:00<00:00, 127.73 it/sec, feas=False, obj=-687]
INFO - 08:28:52: 5%|▌ | 5/100 [00:00<00:00, 127.73 it/sec, feas=False, obj=-687]
INFO - 08:28:52: 6%|▌ | 6/100 [00:00<00:00, 125.62 it/sec, feas=False, obj=-897]
INFO - 08:28:52: 6%|▌ | 6/100 [00:00<00:00, 125.62 it/sec, feas=False, obj=-897]
INFO - 08:28:52: 7%|▋ | 7/100 [00:00<00:00, 122.87 it/sec, feas=False, obj=-957]
INFO - 08:28:52: 7%|▋ | 7/100 [00:00<00:00, 122.87 it/sec, feas=False, obj=-957]
INFO - 08:28:52: 8%|▊ | 8/100 [00:00<00:00, 121.30 it/sec, feas=False, obj=-956]
INFO - 08:28:52: 8%|▊ | 8/100 [00:00<00:00, 121.30 it/sec, feas=False, obj=-956]
INFO - 08:28:52: 9%|▉ | 9/100 [00:00<00:00, 116.27 it/sec, feas=False, obj=-930]
INFO - 08:28:52: 9%|▉ | 9/100 [00:00<00:00, 116.27 it/sec, feas=False, obj=-930]
INFO - 08:28:52: 10%|█ | 10/100 [00:00<00:00, 115.82 it/sec, feas=False, obj=-943]
INFO - 08:28:52: 10%|█ | 10/100 [00:00<00:00, 115.82 it/sec, feas=False, obj=-943]
INFO - 08:28:52: 11%|█ | 11/100 [00:00<00:00, 115.30 it/sec, feas=False, obj=-768]
INFO - 08:28:52: 11%|█ | 11/100 [00:00<00:00, 115.30 it/sec, feas=False, obj=-768]
INFO - 08:28:52: 12%|█▏ | 12/100 [00:00<00:00, 113.94 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:52: 12%|█▏ | 12/100 [00:00<00:00, 113.94 it/sec, feas=False, obj=-1e+3]
INFO - 08:28:52: 13%|█▎ | 13/100 [00:00<00:00, 112.07 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:52: 13%|█▎ | 13/100 [00:00<00:00, 112.07 it/sec, feas=False, obj=-1.34e+3]
INFO - 08:28:52: 14%|█▍ | 14/100 [00:00<00:00, 110.51 it/sec, feas=False, obj=-1.85e+3]
INFO - 08:28:52: 14%|█▍ | 14/100 [00:00<00:00, 110.51 it/sec, feas=False, obj=-1.85e+3]
WARNING - 08:28:52: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.0691449634588397e-05 is still above the tolerance 1e-06.
WARNING - 08:28:52: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.0691449634588397e-05 is still above the tolerance 1e-06.
INFO - 08:28:52: 15%|█▌ | 15/100 [00:00<00:00, 107.74 it/sec, feas=False, obj=-1.87e+3]
INFO - 08:28:52: 15%|█▌ | 15/100 [00:00<00:00, 107.74 it/sec, feas=False, obj=-1.87e+3]
WARNING - 08:28:52: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.6881473826143826e-06 is still above the tolerance 1e-06.
WARNING - 08:28:52: MDAGaussSeidel has reached its maximum number of iterations, but the normalized residual norm 1.6881473826143826e-06 is still above the tolerance 1e-06.
INFO - 08:28:52: 16%|█▌ | 16/100 [00:00<00:00, 104.87 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:52: 16%|█▌ | 16/100 [00:00<00:00, 104.87 it/sec, feas=True, obj=-1.99e+3]
INFO - 08:28:52: 17%|█▋ | 17/100 [00:00<00:00, 102.66 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:52: 17%|█▋ | 17/100 [00:00<00:00, 102.66 it/sec, feas=False, obj=-2.18e+3]
INFO - 08:28:52: 18%|█▊ | 18/100 [00:00<00:00, 101.59 it/sec, feas=False, obj=-2.51e+3]
INFO - 08:28:52: 18%|█▊ | 18/100 [00:00<00:00, 101.59 it/sec, feas=False, obj=-2.51e+3]
INFO - 08:28:52: 19%|█▉ | 19/100 [00:00<00:00, 101.42 it/sec, feas=True, obj=-2.31e+3]
INFO - 08:28:52: 19%|█▉ | 19/100 [00:00<00:00, 101.42 it/sec, feas=True, obj=-2.31e+3]
INFO - 08:28:52: 20%|██ | 20/100 [00:00<00:00, 100.51 it/sec, feas=True, obj=-2.06e+3]
INFO - 08:28:52: 20%|██ | 20/100 [00:00<00:00, 100.51 it/sec, feas=True, obj=-2.06e+3]
INFO - 08:28:52: 21%|██ | 21/100 [00:00<00:00, 100.41 it/sec, feas=False, obj=-2.7e+3]
INFO - 08:28:52: 21%|██ | 21/100 [00:00<00:00, 100.41 it/sec, feas=False, obj=-2.7e+3]
INFO - 08:28:52: 22%|██▏ | 22/100 [00:00<00:00, 101.09 it/sec, feas=False, obj=-2.83e+3]
INFO - 08:28:52: 22%|██▏ | 22/100 [00:00<00:00, 101.09 it/sec, feas=False, obj=-2.83e+3]
INFO - 08:28:52: 23%|██▎ | 23/100 [00:00<00:00, 101.98 it/sec, feas=False, obj=-3.41e+3]
INFO - 08:28:52: 23%|██▎ | 23/100 [00:00<00:00, 101.98 it/sec, feas=False, obj=-3.41e+3]
INFO - 08:28:52: 24%|██▍ | 24/100 [00:00<00:00, 103.25 it/sec, feas=False, obj=-3.34e+3]
INFO - 08:28:52: 24%|██▍ | 24/100 [00:00<00:00, 103.25 it/sec, feas=False, obj=-3.34e+3]
INFO - 08:28:52: 25%|██▌ | 25/100 [00:00<00:00, 103.99 it/sec, feas=False, obj=-3.11e+3]
INFO - 08:28:52: 25%|██▌ | 25/100 [00:00<00:00, 103.99 it/sec, feas=False, obj=-3.11e+3]
INFO - 08:28:52: 26%|██▌ | 26/100 [00:00<00:00, 103.91 it/sec, feas=False, obj=-3.07e+3]
INFO - 08:28:52: 26%|██▌ | 26/100 [00:00<00:00, 103.91 it/sec, feas=False, obj=-3.07e+3]
INFO - 08:28:52: 27%|██▋ | 27/100 [00:00<00:00, 104.61 it/sec, feas=False, obj=-3.14e+3]
INFO - 08:28:52: 27%|██▋ | 27/100 [00:00<00:00, 104.61 it/sec, feas=False, obj=-3.14e+3]
INFO - 08:28:52: 28%|██▊ | 28/100 [00:00<00:00, 105.06 it/sec, feas=True, obj=-3e+3]
INFO - 08:28:52: 28%|██▊ | 28/100 [00:00<00:00, 105.06 it/sec, feas=True, obj=-3e+3]
INFO - 08:28:52: 29%|██▉ | 29/100 [00:00<00:00, 105.66 it/sec, feas=False, obj=-3.16e+3]
INFO - 08:28:52: 29%|██▉ | 29/100 [00:00<00:00, 105.66 it/sec, feas=False, obj=-3.16e+3]
INFO - 08:28:52: 30%|███ | 30/100 [00:00<00:00, 105.71 it/sec, feas=False, obj=-3.34e+3]
INFO - 08:28:52: 30%|███ | 30/100 [00:00<00:00, 105.71 it/sec, feas=False, obj=-3.34e+3]
INFO - 08:28:52: 31%|███ | 31/100 [00:00<00:00, 105.98 it/sec, feas=False, obj=-3.11e+3]
INFO - 08:28:52: 31%|███ | 31/100 [00:00<00:00, 105.98 it/sec, feas=False, obj=-3.11e+3]
INFO - 08:28:52: 32%|███▏ | 32/100 [00:00<00:00, 105.93 it/sec, feas=False, obj=-2.79e+3]
INFO - 08:28:52: 32%|███▏ | 32/100 [00:00<00:00, 105.93 it/sec, feas=False, obj=-2.79e+3]
INFO - 08:28:52: 33%|███▎ | 33/100 [00:00<00:00, 106.04 it/sec, feas=False, obj=-3.65e+3]
INFO - 08:28:52: 33%|███▎ | 33/100 [00:00<00:00, 106.04 it/sec, feas=False, obj=-3.65e+3]
INFO - 08:28:52: 34%|███▍ | 34/100 [00:00<00:00, 106.52 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:52: 34%|███▍ | 34/100 [00:00<00:00, 106.52 it/sec, feas=False, obj=-3.52e+3]
INFO - 08:28:52: 35%|███▌ | 35/100 [00:00<00:00, 106.56 it/sec, feas=False, obj=-3.08e+3]
INFO - 08:28:52: 35%|███▌ | 35/100 [00:00<00:00, 106.56 it/sec, feas=False, obj=-3.08e+3]
INFO - 08:28:52: 36%|███▌ | 36/100 [00:00<00:00, 106.72 it/sec, feas=False, obj=-4.17e+3]
INFO - 08:28:52: 36%|███▌ | 36/100 [00:00<00:00, 106.72 it/sec, feas=False, obj=-4.17e+3]
INFO - 08:28:52: 37%|███▋ | 37/100 [00:00<00:00, 106.79 it/sec, feas=False, obj=-3.66e+3]
INFO - 08:28:52: 37%|███▋ | 37/100 [00:00<00:00, 106.79 it/sec, feas=False, obj=-3.66e+3]
INFO - 08:28:52: 38%|███▊ | 38/100 [00:00<00:00, 106.98 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:52: 38%|███▊ | 38/100 [00:00<00:00, 106.98 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:52: 39%|███▉ | 39/100 [00:00<00:00, 107.46 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:52: 39%|███▉ | 39/100 [00:00<00:00, 107.46 it/sec, feas=False, obj=-3.49e+3]
INFO - 08:28:52: 40%|████ | 40/100 [00:00<00:00, 107.73 it/sec, feas=False, obj=-4.15e+3]
INFO - 08:28:52: 40%|████ | 40/100 [00:00<00:00, 107.73 it/sec, feas=False, obj=-4.15e+3]
INFO - 08:28:52: 41%|████ | 41/100 [00:00<00:00, 107.99 it/sec, feas=False, obj=-4.27e+3]
INFO - 08:28:52: 41%|████ | 41/100 [00:00<00:00, 107.99 it/sec, feas=False, obj=-4.27e+3]
INFO - 08:28:52: 42%|████▏ | 42/100 [00:00<00:00, 108.27 it/sec, feas=False, obj=-4e+3]
INFO - 08:28:52: 42%|████▏ | 42/100 [00:00<00:00, 108.27 it/sec, feas=False, obj=-4e+3]
INFO - 08:28:52: 43%|████▎ | 43/100 [00:00<00:00, 107.84 it/sec, feas=False, obj=-3.53e+3]
INFO - 08:28:52: 43%|████▎ | 43/100 [00:00<00:00, 107.84 it/sec, feas=False, obj=-3.53e+3]
INFO - 08:28:52: 44%|████▍ | 44/100 [00:00<00:00, 107.75 it/sec, feas=False, obj=-4.36e+3]
INFO - 08:28:52: 44%|████▍ | 44/100 [00:00<00:00, 107.75 it/sec, feas=False, obj=-4.36e+3]
INFO - 08:28:52: 45%|████▌ | 45/100 [00:00<00:00, 107.71 it/sec, feas=False, obj=-4.35e+3]
INFO - 08:28:52: 45%|████▌ | 45/100 [00:00<00:00, 107.71 it/sec, feas=False, obj=-4.35e+3]
INFO - 08:28:52: 46%|████▌ | 46/100 [00:00<00:00, 107.71 it/sec, feas=False, obj=-3.65e+3]
INFO - 08:28:52: 46%|████▌ | 46/100 [00:00<00:00, 107.71 it/sec, feas=False, obj=-3.65e+3]
INFO - 08:28:52: 47%|████▋ | 47/100 [00:00<00:00, 107.35 it/sec, feas=False, obj=-2.99e+3]
INFO - 08:28:52: 47%|████▋ | 47/100 [00:00<00:00, 107.35 it/sec, feas=False, obj=-2.99e+3]
INFO - 08:28:52: 48%|████▊ | 48/100 [00:00<00:00, 107.42 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:52: 48%|████▊ | 48/100 [00:00<00:00, 107.42 it/sec, feas=False, obj=-3.39e+3]
INFO - 08:28:52: 49%|████▉ | 49/100 [00:00<00:00, 107.46 it/sec, feas=False, obj=-4.45e+3]
INFO - 08:28:52: 49%|████▉ | 49/100 [00:00<00:00, 107.46 it/sec, feas=False, obj=-4.45e+3]
INFO - 08:28:52: 50%|█████ | 50/100 [00:00<00:00, 107.45 it/sec, feas=False, obj=-4.08e+3]
INFO - 08:28:52: 50%|█████ | 50/100 [00:00<00:00, 107.45 it/sec, feas=False, obj=-4.08e+3]
INFO - 08:28:52: 51%|█████ | 51/100 [00:00<00:00, 107.06 it/sec, feas=False, obj=-3.68e+3]
INFO - 08:28:52: 51%|█████ | 51/100 [00:00<00:00, 107.06 it/sec, feas=False, obj=-3.68e+3]
INFO - 08:28:52: 52%|█████▏ | 52/100 [00:00<00:00, 107.14 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 52%|█████▏ | 52/100 [00:00<00:00, 107.14 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 53%|█████▎ | 53/100 [00:00<00:00, 107.22 it/sec, feas=False, obj=-4.59e+3]
INFO - 08:28:52: 53%|█████▎ | 53/100 [00:00<00:00, 107.22 it/sec, feas=False, obj=-4.59e+3]
INFO - 08:28:52: 54%|█████▍ | 54/100 [00:00<00:00, 106.99 it/sec, feas=False, obj=-4.35e+3]
INFO - 08:28:52: 54%|█████▍ | 54/100 [00:00<00:00, 106.99 it/sec, feas=False, obj=-4.35e+3]
INFO - 08:28:52: 55%|█████▌ | 55/100 [00:00<00:00, 106.34 it/sec, feas=False, obj=-3.93e+3]
INFO - 08:28:52: 55%|█████▌ | 55/100 [00:00<00:00, 106.34 it/sec, feas=False, obj=-3.93e+3]
INFO - 08:28:52: 56%|█████▌ | 56/100 [00:00<00:00, 106.28 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:52: 56%|█████▌ | 56/100 [00:00<00:00, 106.28 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:52: 57%|█████▋ | 57/100 [00:00<00:00, 105.92 it/sec, feas=False, obj=-3.73e+3]
INFO - 08:28:52: 57%|█████▋ | 57/100 [00:00<00:00, 105.92 it/sec, feas=False, obj=-3.73e+3]
INFO - 08:28:52: 58%|█████▊ | 58/100 [00:00<00:00, 105.73 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:52: 58%|█████▊ | 58/100 [00:00<00:00, 105.73 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:52: 59%|█████▉ | 59/100 [00:00<00:00, 105.55 it/sec, feas=False, obj=-3.68e+3]
INFO - 08:28:52: 59%|█████▉ | 59/100 [00:00<00:00, 105.55 it/sec, feas=False, obj=-3.68e+3]
INFO - 08:28:52: 60%|██████ | 60/100 [00:00<00:00, 105.50 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 60%|██████ | 60/100 [00:00<00:00, 105.50 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 61%|██████ | 61/100 [00:00<00:00, 105.24 it/sec, feas=False, obj=-3.8e+3]
INFO - 08:28:52: 61%|██████ | 61/100 [00:00<00:00, 105.24 it/sec, feas=False, obj=-3.8e+3]
INFO - 08:28:52: 62%|██████▏ | 62/100 [00:00<00:00, 105.23 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 62%|██████▏ | 62/100 [00:00<00:00, 105.23 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 63%|██████▎ | 63/100 [00:00<00:00, 105.28 it/sec, feas=False, obj=-3.76e+3]
INFO - 08:28:52: 63%|██████▎ | 63/100 [00:00<00:00, 105.28 it/sec, feas=False, obj=-3.76e+3]
INFO - 08:28:52: 64%|██████▍ | 64/100 [00:00<00:00, 105.25 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 64%|██████▍ | 64/100 [00:00<00:00, 105.25 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:52: 65%|██████▌ | 65/100 [00:00<00:00, 105.34 it/sec, feas=False, obj=-4.52e+3]
INFO - 08:28:52: 65%|██████▌ | 65/100 [00:00<00:00, 105.34 it/sec, feas=False, obj=-4.52e+3]
INFO - 08:28:52: 66%|██████▌ | 66/100 [00:00<00:00, 105.36 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:52: 66%|██████▌ | 66/100 [00:00<00:00, 105.36 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:53: 67%|██████▋ | 67/100 [00:00<00:00, 105.45 it/sec, feas=False, obj=-3.69e+3]
INFO - 08:28:53: 67%|██████▋ | 67/100 [00:00<00:00, 105.45 it/sec, feas=False, obj=-3.69e+3]
INFO - 08:28:53: 68%|██████▊ | 68/100 [00:00<00:00, 105.46 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:53: 68%|██████▊ | 68/100 [00:00<00:00, 105.46 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:53: 69%|██████▉ | 69/100 [00:00<00:00, 105.57 it/sec, feas=False, obj=-3.73e+3]
INFO - 08:28:53: 69%|██████▉ | 69/100 [00:00<00:00, 105.57 it/sec, feas=False, obj=-3.73e+3]
INFO - 08:28:53: 70%|███████ | 70/100 [00:00<00:00, 105.60 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:53: 70%|███████ | 70/100 [00:00<00:00, 105.60 it/sec, feas=False, obj=-4.42e+3]
INFO - 08:28:53: 71%|███████ | 71/100 [00:00<00:00, 105.57 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 71%|███████ | 71/100 [00:00<00:00, 105.57 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 72%|███████▏ | 72/100 [00:00<00:00, 105.60 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:53: 72%|███████▏ | 72/100 [00:00<00:00, 105.60 it/sec, feas=False, obj=-4.43e+3]
INFO - 08:28:53: 73%|███████▎ | 73/100 [00:00<00:00, 105.60 it/sec, feas=False, obj=-4.5e+3]
INFO - 08:28:53: 73%|███████▎ | 73/100 [00:00<00:00, 105.60 it/sec, feas=False, obj=-4.5e+3]
INFO - 08:28:53: 74%|███████▍ | 74/100 [00:00<00:00, 105.59 it/sec, feas=False, obj=-4.5e+3]
INFO - 08:28:53: 74%|███████▍ | 74/100 [00:00<00:00, 105.59 it/sec, feas=False, obj=-4.5e+3]
INFO - 08:28:53: 75%|███████▌ | 75/100 [00:00<00:00, 105.28 it/sec, feas=False, obj=-4.25e+3]
INFO - 08:28:53: 75%|███████▌ | 75/100 [00:00<00:00, 105.28 it/sec, feas=False, obj=-4.25e+3]
INFO - 08:28:53: 76%|███████▌ | 76/100 [00:00<00:00, 105.27 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 76%|███████▌ | 76/100 [00:00<00:00, 105.27 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 77%|███████▋ | 77/100 [00:00<00:00, 105.20 it/sec, feas=False, obj=-4.28e+3]
INFO - 08:28:53: 77%|███████▋ | 77/100 [00:00<00:00, 105.20 it/sec, feas=False, obj=-4.28e+3]
INFO - 08:28:53: 78%|███████▊ | 78/100 [00:00<00:00, 105.10 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:53: 78%|███████▊ | 78/100 [00:00<00:00, 105.10 it/sec, feas=False, obj=-3.92e+3]
INFO - 08:28:53: 79%|███████▉ | 79/100 [00:00<00:00, 105.01 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:53: 79%|███████▉ | 79/100 [00:00<00:00, 105.01 it/sec, feas=False, obj=-3.96e+3]
INFO - 08:28:53: 80%|████████ | 80/100 [00:00<00:00, 105.02 it/sec, feas=False, obj=-4.38e+3]
INFO - 08:28:53: 80%|████████ | 80/100 [00:00<00:00, 105.02 it/sec, feas=False, obj=-4.38e+3]
INFO - 08:28:53: 81%|████████ | 81/100 [00:00<00:00, 104.90 it/sec, feas=False, obj=-4.29e+3]
INFO - 08:28:53: 81%|████████ | 81/100 [00:00<00:00, 104.90 it/sec, feas=False, obj=-4.29e+3]
INFO - 08:28:53: 82%|████████▏ | 82/100 [00:00<00:00, 105.01 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 82%|████████▏ | 82/100 [00:00<00:00, 105.01 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 83%|████████▎ | 83/100 [00:00<00:00, 105.13 it/sec, feas=False, obj=-4.34e+3]
INFO - 08:28:53: 83%|████████▎ | 83/100 [00:00<00:00, 105.13 it/sec, feas=False, obj=-4.34e+3]
INFO - 08:28:53: 84%|████████▍ | 84/100 [00:00<00:00, 105.26 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 84%|████████▍ | 84/100 [00:00<00:00, 105.26 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 85%|████████▌ | 85/100 [00:00<00:00, 105.34 it/sec, feas=False, obj=-4.22e+3]
INFO - 08:28:53: 85%|████████▌ | 85/100 [00:00<00:00, 105.34 it/sec, feas=False, obj=-4.22e+3]
INFO - 08:28:53: 86%|████████▌ | 86/100 [00:00<00:00, 104.79 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 86%|████████▌ | 86/100 [00:00<00:00, 104.79 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 87%|████████▋ | 87/100 [00:00<00:00, 104.78 it/sec, feas=False, obj=-4.33e+3]
INFO - 08:28:53: 87%|████████▋ | 87/100 [00:00<00:00, 104.78 it/sec, feas=False, obj=-4.33e+3]
INFO - 08:28:53: 88%|████████▊ | 88/100 [00:00<00:00, 104.71 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 88%|████████▊ | 88/100 [00:00<00:00, 104.71 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 89%|████████▉ | 89/100 [00:00<00:00, 104.79 it/sec, feas=False, obj=-4.31e+3]
INFO - 08:28:53: 89%|████████▉ | 89/100 [00:00<00:00, 104.79 it/sec, feas=False, obj=-4.31e+3]
INFO - 08:28:53: 90%|█████████ | 90/100 [00:00<00:00, 104.89 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 90%|█████████ | 90/100 [00:00<00:00, 104.89 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 91%|█████████ | 91/100 [00:00<00:00, 104.96 it/sec, feas=False, obj=-4.27e+3]
INFO - 08:28:53: 91%|█████████ | 91/100 [00:00<00:00, 104.96 it/sec, feas=False, obj=-4.27e+3]
INFO - 08:28:53: 92%|█████████▏| 92/100 [00:00<00:00, 105.02 it/sec, feas=False, obj=-4.31e+3]
INFO - 08:28:53: 92%|█████████▏| 92/100 [00:00<00:00, 105.02 it/sec, feas=False, obj=-4.31e+3]
INFO - 08:28:53: 93%|█████████▎| 93/100 [00:00<00:00, 105.10 it/sec, feas=False, obj=-4.32e+3]
INFO - 08:28:53: 93%|█████████▎| 93/100 [00:00<00:00, 105.10 it/sec, feas=False, obj=-4.32e+3]
INFO - 08:28:53: 94%|█████████▍| 94/100 [00:00<00:00, 105.22 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 94%|█████████▍| 94/100 [00:00<00:00, 105.22 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 95%|█████████▌| 95/100 [00:00<00:00, 105.27 it/sec, feas=False, obj=-4.21e+3]
INFO - 08:28:53: 95%|█████████▌| 95/100 [00:00<00:00, 105.27 it/sec, feas=False, obj=-4.21e+3]
INFO - 08:28:53: 96%|█████████▌| 96/100 [00:00<00:00, 105.33 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 96%|█████████▌| 96/100 [00:00<00:00, 105.33 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 97%|█████████▋| 97/100 [00:00<00:00, 105.37 it/sec, feas=False, obj=-4.19e+3]
INFO - 08:28:53: 97%|█████████▋| 97/100 [00:00<00:00, 105.37 it/sec, feas=False, obj=-4.19e+3]
INFO - 08:28:53: 98%|█████████▊| 98/100 [00:00<00:00, 105.38 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 98%|█████████▊| 98/100 [00:00<00:00, 105.38 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 99%|█████████▉| 99/100 [00:00<00:00, 105.32 it/sec, feas=False, obj=-4.13e+3]
INFO - 08:28:53: 99%|█████████▉| 99/100 [00:00<00:00, 105.32 it/sec, feas=False, obj=-4.13e+3]
INFO - 08:28:53: 100%|██████████| 100/100 [00:00<00:00, 105.34 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: 100%|██████████| 100/100 [00:00<00:00, 105.34 it/sec, feas=False, obj=-4.49e+3]
INFO - 08:28:53: Optimization result:
INFO - 08:28:53: Optimizer info:
INFO - 08:28:53: Status: None
INFO - 08:28:53: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:53: Solution:
INFO - 08:28:53: Optimization result:
INFO - 08:28:53: Optimizer info:
INFO - 08:28:53: Status: None
INFO - 08:28:53: Message: Maximum number of iterations reached. GEMSEO stopped the driver.
INFO - 08:28:53: Solution:
INFO - 08:28:53: The solution is feasible.
INFO - 08:28:53: The solution is feasible.
INFO - 08:28:53: Objective: -3003.8995230595424
INFO - 08:28:53: Standardized constraints:
INFO - 08:28:53: g_1 = [-0.18177087 -0.15303684 -0.13797373 -0.12871311 -0.12244655 -0.02429768
INFO - 08:28:53: -0.21570232]
INFO - 08:28:53: g_2 = -0.002615771711972803
INFO - 08:28:53: g_3 = [-0.78613294 -0.21386706 -0.07631583 -0.17779628]
INFO - 08:28:53: Objective: -3003.8995230595424
INFO - 08:28:53: Standardized constraints:
INFO - 08:28:53: g_1 = [-0.18177087 -0.15303684 -0.13797373 -0.12871311 -0.12244655 -0.02429768
INFO - 08:28:53: -0.21570232]
INFO - 08:28:53: g_2 = -0.002615771711972803
INFO - 08:28:53: g_3 = [-0.78613294 -0.21386706 -0.07631583 -0.17779628]
INFO - 08:28:53: Design space:
INFO - 08:28:53: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:53: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:53: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:53: | x_shared[0] | 0.01 | 0.05934605707200682 | 0.09 | float |
INFO - 08:28:53: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:53: | x_shared[2] | 1.4 | 1.440947137798596 | 1.8 | float |
INFO - 08:28:53: | x_shared[3] | 2.5 | 2.682168463995586 | 8.5 | float |
INFO - 08:28:53: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:53: | x_shared[5] | 500 | 1315.825005558175 | 1500 | float |
INFO - 08:28:53: | x_1[0] | 0.1 | 0.1000000000000001 | 0.4 | float |
INFO - 08:28:53: | x_1[1] | 0.75 | 0.9200062439484883 | 1.25 | float |
INFO - 08:28:53: | x_2 | 0.75 | 0.8112680369735645 | 1.25 | float |
INFO - 08:28:53: | x_3 | 0.1 | 0.1498242691956934 | 1 | float |
INFO - 08:28:53: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:53: Design space:
INFO - 08:28:53: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:53: | Name | Lower bound | Value | Upper bound | Type |
INFO - 08:28:53: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:53: | x_shared[0] | 0.01 | 0.05934605707200682 | 0.09 | float |
INFO - 08:28:53: | x_shared[1] | 30000 | 60000 | 60000 | float |
INFO - 08:28:53: | x_shared[2] | 1.4 | 1.440947137798596 | 1.8 | float |
INFO - 08:28:53: | x_shared[3] | 2.5 | 2.682168463995586 | 8.5 | float |
INFO - 08:28:53: | x_shared[4] | 40 | 70 | 70 | float |
INFO - 08:28:53: | x_shared[5] | 500 | 1315.825005558175 | 1500 | float |
INFO - 08:28:53: | x_1[0] | 0.1 | 0.1000000000000001 | 0.4 | float |
INFO - 08:28:53: | x_1[1] | 0.75 | 0.9200062439484883 | 1.25 | float |
INFO - 08:28:53: | x_2 | 0.75 | 0.8112680369735645 | 1.25 | float |
INFO - 08:28:53: | x_3 | 0.1 | 0.1498242691956934 | 1 | float |
INFO - 08:28:53: +-------------+-------------+---------------------+-------------+-------+
INFO - 08:28:53: *** End MDOScenario execution ***
INFO - 08:28:53: *** End MDOScenario execution ***
Conclusion¶
JAX is about 3 times faster than NumPy in the case of an optimization loop with a Gauss-Seidel MDA.
Total running time of the script: ( 0 minutes 19.119 seconds)
Download Python source code: plot_sobieski_mdf.py