Note
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Multistart optimization¶
Runs simple optimization problem with multiple starting points
Nests a MDOScenario in a DOEScenario
using a MDOScenarioAdapter.
from __future__ import annotations
from gemseo.api import configure_logger
from gemseo.api import create_design_space
from gemseo.api import create_discipline
from gemseo.api import create_scenario
from gemseo.disciplines.scenario_adapter import MDOScenarioAdapter
configure_logger()
<RootLogger root (INFO)>
Create the disciplines¶
objective = create_discipline("AnalyticDiscipline", expressions={"obj": "x**3-x+1"})
constraint = create_discipline(
"AnalyticDiscipline", expressions={"cstr": "x**2+obj**2-1.5"}
)
Create the design space¶
design_space = create_design_space()
design_space.add_variable("x", l_b=-1.5, u_b=1.5, value=1.5)
Create the MDO scenario¶
scenario = create_scenario(
[objective, constraint],
formulation="DisciplinaryOpt",
objective_name="obj",
design_space=design_space,
)
scenario.default_inputs = {"algo": "SLSQP", "max_iter": 10}
scenario.add_constraint("cstr", "ineq")
Create the scenario adapter¶
dv_names = scenario.formulation.opt_problem.design_space.variables_names
adapter = MDOScenarioAdapter(
scenario, dv_names, ["obj", "cstr"], set_x0_before_opt=True
)
Create the DOE scenario¶
scenario_doe = create_scenario(
adapter,
formulation="DisciplinaryOpt",
objective_name="obj",
design_space=design_space,
scenario_type="DOE",
)
scenario_doe.add_constraint("cstr", "ineq")
run_inputs = {"n_samples": 10, "algo": "fullfact"}
scenario_doe.execute(run_inputs)
INFO - 16:58:47:
INFO - 16:58:47: *** Start DOEScenario execution ***
INFO - 16:58:47: DOEScenario
INFO - 16:58:47: Disciplines: MDOScenario_adapter
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 1.5 | 1.5 | float |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm fullfact:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.5 | 1.5 | float |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 149.82 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 192.17 it/sec, obj=-.267]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 256.52 it/sec, obj=-.809]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 304.00 it/sec, obj=-.868]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 340.12 it/sec, obj=-.872]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 353.31 it/sec, obj=-.265]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 360.36 it/sec, obj=0.136]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 366.36 it/sec, obj=0.579]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 386.22 it/sec, obj=0.289]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 389.05 it/sec, obj=1.25]
INFO - 16:58:47:
WARNING - 16:58:47: Optimization found no feasible point ! The least infeasible point is selected.
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
WARNING - 16:58:47: The solution is not feasible.
INFO - 16:58:47: Objective: 0.2888129873625884
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = 0.1513713660745195
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.252181466244097 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.036074) ***
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 24.04 it/sec, obj=0.289]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.166666666666667 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1027.76 it/sec, obj=0.579]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 488.88 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 472.19 it/sec, obj=-.267]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 509.78 it/sec, obj=-.809]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 532.10 it/sec, obj=-.868]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 556.48 it/sec, obj=-.874]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 526.07 it/sec, obj=-.266]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 512.48 it/sec, obj=0.135]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 499.07 it/sec, obj=0.577]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 514.70 it/sec, obj=0.288]
INFO - 16:58:47:
WARNING - 16:58:47: Optimization found no feasible point ! The least infeasible point is selected.
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
WARNING - 16:58:47: The solution is not feasible.
INFO - 16:58:47: Objective: 0.28811314244670916
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = 0.15144075010172386
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.252370379421043 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.024572) ***
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 29.74 it/sec, obj=0.288]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -0.8333333333333334 | 1.5 | float |
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1100.87 it/sec, obj=1.25]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 500.42 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 569.93 it/sec, obj=1.01]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 514.95 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 545.59 it/sec, obj=0.819]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 513.18 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 535.39 it/sec, obj=0.693]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 513.55 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 530.02 it/sec, obj=0.584]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 513.11 it/sec, obj=-.875]
INFO - 16:58:47:
WARNING - 16:58:47: Optimization found no feasible point ! The least infeasible point is selected.
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
WARNING - 16:58:47: The solution is not feasible.
INFO - 16:58:47: Objective: 0.5837798748832244
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = 0.19806414473664136
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.165017254128868 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.023641) ***
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 32.32 it/sec, obj=0.584]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -0.5 | 1.5 | float |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1038.45 it/sec, obj=1.38]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 513.38 it/sec, obj=2.88]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 560.21 it/sec, obj=1.23]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 521.66 it/sec, obj=2.87]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 541.87 it/sec, obj=0.848]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 506.92 it/sec, obj=0.658]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 476.85 it/sec, obj=0.643]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 459.72 it/sec, obj=0.616]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 450.77 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 440.01 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 13
INFO - 16:58:47: Solution:
INFO - 16:58:47: The solution is feasible.
INFO - 16:58:47: Objective: 0.6150998219543254
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = -0.788285881879476
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.5773788419679762 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.027864) ***
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 32.87 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -0.1666666666666667 | 1.5 | float |
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1028.02 it/sec, obj=1.16]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 512.75 it/sec, obj=2.87]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 558.79 it/sec, obj=0.785]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 499.31 it/sec, obj=2.88]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 507.63 it/sec, obj=0.644]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 463.27 it/sec, obj=0.624]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 450.10 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 435.79 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 425.68 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 420.95 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
INFO - 16:58:47: The solution is feasible.
INFO - 16:58:47: Objective: 0.6150998205402495
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = -0.7883188793606977
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.5773502675245377 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.028883) ***
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 32.98 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.1666666666666667 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1188.52 it/sec, obj=0.838]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 509.26 it/sec, obj=2.88]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 577.30 it/sec, obj=0.656]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 501.47 it/sec, obj=0.639]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 462.90 it/sec, obj=0.616]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 450.83 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 434.93 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 420.58 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 416.65 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 10
INFO - 16:58:47: Solution:
INFO - 16:58:47: The solution is feasible.
INFO - 16:58:47: Objective: 0.6150998205402508
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = -0.7883189092934597
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.5773502416020033 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.025330) ***
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 33.57 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.5 | 1.5 | float |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1191.90 it/sec, obj=0.625]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 501.44 it/sec, obj=2.87]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 570.03 it/sec, obj=0.616]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 496.65 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 466.81 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 447.62 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 432.88 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 8
INFO - 16:58:47: Solution:
INFO - 16:58:47: The solution is feasible.
INFO - 16:58:47: Objective: 0.6150998205402526
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = -0.7883188285028959
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.5773503115686811 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.019761) ***
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 34.95 it/sec, obj=0.615]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.8333333333333335 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1131.76 it/sec, obj=0.745]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 508.06 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 471.61 it/sec, obj=-.267]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 498.27 it/sec, obj=-.809]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 521.43 it/sec, obj=-.868]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 539.21 it/sec, obj=-.874]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 517.61 it/sec, obj=-.266]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 504.03 it/sec, obj=0.135]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 489.61 it/sec, obj=0.577]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 505.92 it/sec, obj=0.288]
INFO - 16:58:47:
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
INFO - 16:58:47: The solution is feasible.
INFO - 16:58:47: Objective: 0.7453703703703706
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = -0.2499785665294918
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 0.8333333333333335 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.024617) ***
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 35.29 it/sec, obj=0.745]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+-------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+-------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 1.166666666666667 | 1.5 | float |
INFO - 16:58:47: +------+-------------+-------------------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1001.74 it/sec, obj=1.42]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 486.95 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 482.01 it/sec, obj=-.267]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 507.69 it/sec, obj=-.809]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 524.66 it/sec, obj=-.868]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 529.27 it/sec, obj=-.874]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 505.36 it/sec, obj=-.266]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 489.43 it/sec, obj=0.135]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 482.28 it/sec, obj=0.577]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 495.45 it/sec, obj=0.288]
INFO - 16:58:47:
WARNING - 16:58:47: Optimization found no feasible point ! The least infeasible point is selected.
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
WARNING - 16:58:47: The solution is not feasible.
INFO - 16:58:47: Objective: 0.28811314244698893
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = 0.1514407501016959
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.252370379420967 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.025297) ***
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 35.57 it/sec, obj=0.288]
INFO - 16:58:47:
INFO - 16:58:47: *** Start MDOScenario execution ***
INFO - 16:58:47: MDOScenario
INFO - 16:58:47: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:58:47: MDO formulation: DisciplinaryOpt
INFO - 16:58:47: Optimization problem:
INFO - 16:58:47: minimize obj(x)
INFO - 16:58:47: with respect to x
INFO - 16:58:47: subject to constraints:
INFO - 16:58:47: cstr(x) <= 0.0
INFO - 16:58:47: over the design space:
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | 1.5 | 1.5 | float |
INFO - 16:58:47: +------+-------------+-------+-------------+-------+
INFO - 16:58:47: Solving optimization problem with algorithm SLSQP:
INFO - 16:58:47: ... 0%| | 0/10 [00:00<?, ?it]
INFO - 16:58:47:
INFO - 16:58:47: ... 10%|█ | 1/10 [00:00<00:00, 1020.51 it/sec, obj=2.88]
INFO - 16:58:47:
INFO - 16:58:47: ... 20%|██ | 2/10 [00:00<00:00, 504.79 it/sec, obj=-.875]
INFO - 16:58:47:
INFO - 16:58:47: ... 30%|███ | 3/10 [00:00<00:00, 471.41 it/sec, obj=-.267]
INFO - 16:58:47:
INFO - 16:58:47: ... 40%|████ | 4/10 [00:00<00:00, 515.65 it/sec, obj=-.809]
INFO - 16:58:47:
INFO - 16:58:47: ... 50%|█████ | 5/10 [00:00<00:00, 534.22 it/sec, obj=-.868]
INFO - 16:58:47:
INFO - 16:58:47: ... 60%|██████ | 6/10 [00:00<00:00, 555.76 it/sec, obj=-.874]
INFO - 16:58:47:
INFO - 16:58:47: ... 70%|███████ | 7/10 [00:00<00:00, 521.18 it/sec, obj=-.266]
INFO - 16:58:47:
INFO - 16:58:47: ... 80%|████████ | 8/10 [00:00<00:00, 509.78 it/sec, obj=0.135]
INFO - 16:58:47:
INFO - 16:58:47: ... 90%|█████████ | 9/10 [00:00<00:00, 494.76 it/sec, obj=0.577]
INFO - 16:58:47:
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 510.62 it/sec, obj=0.288]
INFO - 16:58:47:
WARNING - 16:58:47: Optimization found no feasible point ! The least infeasible point is selected.
INFO - 16:58:47:
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: Maximum number of iterations reached. GEMSEO Stopped the driver
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 12
INFO - 16:58:47: Solution:
WARNING - 16:58:47: The solution is not feasible.
INFO - 16:58:47: Objective: 0.28811314244587316
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = 0.15144075010180735
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -1.252370379421268 | 1.5 | float |
INFO - 16:58:47: +------+-------------+--------------------+-------------+-------+
INFO - 16:58:47: *** End MDOScenario execution (time: 0:00:00.024862) ***
INFO - 16:58:47: ... 100%|██████████| 10/10 [00:00<00:00, 35.86 it/sec, obj=0.288]
INFO - 16:58:47: Optimization result:
INFO - 16:58:47: Optimizer info:
INFO - 16:58:47: Status: None
INFO - 16:58:47: Message: None
INFO - 16:58:47: Number of calls to the objective function by the optimizer: 10
INFO - 16:58:47: Solution:
INFO - 16:58:47: The solution is feasible.
INFO - 16:58:47: Objective: 0.6150998205402495
INFO - 16:58:47: Standardized constraints:
INFO - 16:58:47: cstr = -0.7883188793606977
INFO - 16:58:47: Design space:
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: | name | lower_bound | value | upper_bound | type |
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: | x | -1.5 | -0.1666666666666667 | 1.5 | float |
INFO - 16:58:47: +------+-------------+---------------------+-------------+-------+
INFO - 16:58:47: *** End DOEScenario execution (time: 0:00:00.288291) ***
{'eval_jac': False, 'algo': 'fullfact', 'n_samples': 10}
Plot the optimum objective for different x0¶
scenario_doe.post_process("BasicHistory", variable_names=["obj"], save=False, show=True)
<gemseo.post.basic_history.BasicHistory object at 0x7fbc372a1d60>
Total running time of the script: ( 0 minutes 0.473 seconds)