Note
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Pareto front on Binh and Korn problem using a BiLevel formulation¶
In this example, we illustrate the computation of a Pareto front plot for the Binh and Korn problem. We use a BiLevel formulation in order to only compute the Pareto-optimal points.
Import¶
The first step is to import some functions from the API, and to configure the logger.
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
from numpy import array
configure_logger()
<RootLogger root (INFO)>
Definition of the disciplines¶
In this example,
we create the Binh and Korn disciplines from scratch by declaring their expressions and using
the AnalyticDiscipline.
expr_binh_korn = {
"obj1": "4*x1**2 + 4*x2**2",
"obj2": "(x1-5.)**2 + (x2-5.)**2",
"cstr1": "(x1-5.)**2 + x2**2 - 25.",
"cstr2": "-(x1-8.)**2 - (x2+3)**2 + 7.7",
}
This constraint will be used to set obj1 to a target value for the lower-level scenario.
expr_cstr_obj1_target = {"cstr3": "obj1 - obj1_target"}
Instantiation of the disciplines¶
Here, we create the disciplines from their expressions.
discipline_binh_korn = create_discipline(
"AnalyticDiscipline", expressions=expr_binh_korn
)
discipline_cstr_obj1 = create_discipline(
"AnalyticDiscipline", expressions=expr_cstr_obj1_target
)
Definition of the lower-level design space¶
design_space = create_design_space()
design_space.add_variable("x1", l_b=array([0.0]), u_b=array([5.0]), value=array([2.0]))
design_space.add_variable("x2", l_b=array([-5.0]), u_b=array([3.0]), value=array([2.0]))
disciplines = [
discipline_binh_korn,
discipline_cstr_obj1,
]
Creation of the lower-level scenario¶
This scenario aims at finding the obj2 optimal value for a specific value of obj1.
scenario = create_scenario(
disciplines,
"DisciplinaryOpt",
design_space=design_space,
objective_name="obj2",
)
scenario.default_inputs = {"algo": "NLOPT_SLSQP", "max_iter": 100}
We add the Binh and Korn problem constraints.
scenario.add_constraint("cstr1", "ineq")
scenario.add_constraint("cstr2", "ineq")
We add a constraint to force the value of obj1 to obj1_target.
scenario.add_constraint("cstr3", "eq")
Creation of an MDOScenarioAdapter¶
An MDOScenarioAdapter is created to use the lower-level scenario as a discipline.
This newly created discipline takes as input a target obj_1,
and returns obj1, obj2 and cstr3.
The latter variable is used by the upper level scenario
to check if obj1 = obj1_target at the end of the lower-lever scenario execution.
scenario_adapter = MDOScenarioAdapter(
scenario, ["obj1_target"], ["obj1", "obj2", "cstr3"]
)
design_space_doe = create_design_space()
design_space_doe.add_variable(
"obj1_target", l_b=array([0.1]), u_b=array([100.0]), value=array([1.0])
)
Creation of a DOEScenario¶
Create a DOE Scenario, which will take as input the scenario adapter. It will perform a DOE over the obj1_target variable. Note that obj2 shall be added as an observable of scenario_doe, otherwise it cannot be used by the ParetoFront post-processing.
scenario_doe = create_scenario(
scenario_adapter,
formulation="DisciplinaryOpt",
objective_name="obj1",
design_space=design_space_doe,
scenario_type="DOE",
)
scenario_doe.add_constraint("cstr3", "eq")
scenario_doe.add_observable("obj2")
Run the scenario¶
Finally, we run a full-factorial DOE using 100 samples and we run the post-processing.
run_inputs = {"n_samples": 50, "algo": "fullfact"}
scenario_doe.execute(run_inputs)
scenario_doe.post_process(
"ParetoFront", objectives=["obj1", "obj2"], save=False, show=True
)
INFO - 16:33:27:
INFO - 16:33:27: *** Start DOEScenario execution ***
INFO - 16:33:27: DOEScenario
INFO - 16:33:27: Disciplines: MDOScenario_adapter
INFO - 16:33:27: MDO formulation: DisciplinaryOpt
INFO - 16:33:27: Optimization problem:
INFO - 16:33:27: minimize obj1(obj1_target)
INFO - 16:33:27: with respect to obj1_target
INFO - 16:33:27: subject to constraints:
INFO - 16:33:27: cstr3(obj1_target) == 0.0
INFO - 16:33:27: over the design space:
INFO - 16:33:27: +-------------+-------------+-------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +-------------+-------------+-------+-------------+-------+
INFO - 16:33:27: | obj1_target | 0.1 | 1 | 100 | float |
INFO - 16:33:27: +-------------+-------------+-------+-------------+-------+
INFO - 16:33:27: Solving optimization problem with algorithm fullfact:
INFO - 16:33:27: ... 0%| | 0/50 [00:00<?, ?it]
INFO - 16:33:27:
INFO - 16:33:27: *** Start MDOScenario execution ***
INFO - 16:33:27: MDOScenario
INFO - 16:33:27: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:27: MDO formulation: DisciplinaryOpt
INFO - 16:33:27: Optimization problem:
INFO - 16:33:27: minimize obj2(x1, x2)
INFO - 16:33:27: with respect to x1, x2
INFO - 16:33:27: subject to constraints:
INFO - 16:33:27: cstr1(x1, x2) <= 0.0
INFO - 16:33:27: cstr2(x1, x2) <= 0.0
INFO - 16:33:27: cstr3(x1, x2) == 0.0
INFO - 16:33:27: over the design space:
INFO - 16:33:27: +------+-------------+-------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+-------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 2 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 2 | 3 | float |
INFO - 16:33:27: +------+-------------+-------+-------------+-------+
INFO - 16:33:27: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:27: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:27:
INFO - 16:33:27: ... 1%| | 1/100 [00:00<00:00, 100.02 it/sec, obj=18]
INFO - 16:33:27:
INFO - 16:33:27: ... 2%|▏ | 2/100 [00:00<00:00, 100.74 it/sec, obj=32.3]
INFO - 16:33:27:
INFO - 16:33:27: ... 3%|▎ | 3/100 [00:00<00:00, 147.96 it/sec, obj=19.2]
INFO - 16:33:27:
INFO - 16:33:27: ... 4%|▍ | 4/100 [00:00<00:00, 175.88 it/sec, obj=18.1]
INFO - 16:33:27:
INFO - 16:33:27: ... 5%|▌ | 5/100 [00:00<00:00, 197.56 it/sec, obj=18]
INFO - 16:33:27:
INFO - 16:33:27: ... 6%|▌ | 6/100 [00:00<00:00, 173.70 it/sec, obj=34]
INFO - 16:33:27:
INFO - 16:33:27: ... 7%|▋ | 7/100 [00:00<00:00, 200.66 it/sec, obj=20.5]
INFO - 16:33:27:
INFO - 16:33:27: ... 8%|▊ | 8/100 [00:00<00:00, 182.07 it/sec, obj=33.3]
INFO - 16:33:27:
INFO - 16:33:27: ... 9%|▉ | 9/100 [00:00<00:00, 202.95 it/sec, obj=22]
INFO - 16:33:27:
INFO - 16:33:27: ... 10%|█ | 10/100 [00:00<00:00, 184.43 it/sec, obj=34.5]
INFO - 16:33:27:
INFO - 16:33:27: ... 11%|█ | 11/100 [00:00<00:00, 188.23 it/sec, obj=41.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 12%|█▏ | 12/100 [00:00<00:00, 204.12 it/sec, obj=38.2]
INFO - 16:33:27:
INFO - 16:33:27: ... 13%|█▎ | 13/100 [00:00<00:00, 190.43 it/sec, obj=43.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 14%|█▍ | 14/100 [00:00<00:00, 193.03 it/sec, obj=44.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 15%|█▌ | 15/100 [00:00<00:00, 205.81 it/sec, obj=43.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 16%|█▌ | 16/100 [00:00<00:00, 195.36 it/sec, obj=46.5]
INFO - 16:33:27:
INFO - 16:33:27: ... 17%|█▋ | 17/100 [00:00<00:00, 206.64 it/sec, obj=45.3]
INFO - 16:33:27:
INFO - 16:33:27: ... 18%|█▊ | 18/100 [00:00<00:00, 196.28 it/sec, obj=47.1]
INFO - 16:33:27:
INFO - 16:33:27: ... 19%|█▉ | 19/100 [00:00<00:00, 197.13 it/sec, obj=47.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 20%|██ | 20/100 [00:00<00:00, 197.98 it/sec, obj=47.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 21%|██ | 21/100 [00:00<00:00, 207.16 it/sec, obj=47.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 22%|██▏ | 22/100 [00:00<00:00, 196.80 it/sec, obj=47.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 23%|██▎ | 23/100 [00:00<00:00, 197.11 it/sec, obj=47.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 24%|██▍ | 24/100 [00:00<00:00, 197.46 it/sec, obj=47.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 25%|██▌ | 25/100 [00:00<00:00, 203.14 it/sec, obj=Not evaluated]
INFO - 16:33:27:
INFO - 16:33:27:
INFO - 16:33:27: Optimization result:
INFO - 16:33:27: Optimizer info:
INFO - 16:33:27: Status: None
INFO - 16:33:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:27: Number of calls to the objective function by the optimizer: 32
INFO - 16:33:27: Solution:
INFO - 16:33:27: The solution is feasible.
INFO - 16:33:27: Objective: 47.703727654876516
INFO - 16:33:27: Standardized constraints:
INFO - 16:33:27: cstr1 = -1.0667466573428754
INFO - 16:33:27: cstr2 = -64.31467159436009
INFO - 16:33:27: cstr3 = 0.008327777064409236
INFO - 16:33:27: Design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.1093828601608978 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.1229525687780608 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: *** End MDOScenario execution (time: 0:00:00.135841) ***
INFO - 16:33:27: ... 2%|▏ | 1/50 [00:00<00:07, 6.99 it/sec, obj=0.108]
INFO - 16:33:27:
INFO - 16:33:27: *** Start MDOScenario execution ***
INFO - 16:33:27: MDOScenario
INFO - 16:33:27: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:27: MDO formulation: DisciplinaryOpt
INFO - 16:33:27: Optimization problem:
INFO - 16:33:27: minimize obj2(x1, x2)
INFO - 16:33:27: with respect to x1, x2
INFO - 16:33:27: subject to constraints:
INFO - 16:33:27: cstr1(x1, x2) <= 0.0
INFO - 16:33:27: cstr2(x1, x2) <= 0.0
INFO - 16:33:27: cstr3(x1, x2) == 0.0
INFO - 16:33:27: over the design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.1093828601608978 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.1229525687780608 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:27: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:27:
INFO - 16:33:27: ... 1%| | 1/100 [00:00<00:00, 860.72 it/sec, obj=47.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 2%|▏ | 2/100 [00:00<00:00, 197.54 it/sec, obj=38]
INFO - 16:33:27:
INFO - 16:33:27: ... 3%|▎ | 3/100 [00:00<00:00, 286.78 it/sec, obj=45.4]
INFO - 16:33:27:
INFO - 16:33:27: ... 4%|▍ | 4/100 [00:00<00:00, 205.04 it/sec, obj=26]
INFO - 16:33:27:
INFO - 16:33:27: ... 5%|▌ | 5/100 [00:00<00:00, 251.93 it/sec, obj=43.1]
INFO - 16:33:27:
INFO - 16:33:27: ... 6%|▌ | 6/100 [00:00<00:00, 201.97 it/sec, obj=40.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 7%|▋ | 7/100 [00:00<00:00, 206.44 it/sec, obj=35.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 8%|▊ | 8/100 [00:00<00:00, 233.64 it/sec, obj=39.8]
INFO - 16:33:27:
INFO - 16:33:27: ... 9%|▉ | 9/100 [00:00<00:00, 205.89 it/sec, obj=40]
INFO - 16:33:27:
INFO - 16:33:27: ... 10%|█ | 10/100 [00:00<00:00, 206.94 it/sec, obj=40.2]
INFO - 16:33:27:
INFO - 16:33:27: ... 11%|█ | 11/100 [00:00<00:00, 206.39 it/sec, obj=40.2]
INFO - 16:33:27:
INFO - 16:33:27: ... 12%|█▏ | 12/100 [00:00<00:00, 206.32 it/sec, obj=40.2]
INFO - 16:33:27:
INFO - 16:33:27: ... 13%|█▎ | 13/100 [00:00<00:00, 219.44 it/sec, obj=Not evaluated]
INFO - 16:33:27:
INFO - 16:33:27:
INFO - 16:33:27: Optimization result:
INFO - 16:33:27: Optimizer info:
INFO - 16:33:27: Status: None
INFO - 16:33:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:27: Number of calls to the objective function by the optimizer: 16
INFO - 16:33:27: Solution:
INFO - 16:33:27: The solution is feasible.
INFO - 16:33:27: Objective: 40.19103454891671
INFO - 16:33:27: Standardized constraints:
INFO - 16:33:27: cstr1 = -4.635553160505001
INFO - 16:33:27: cstr2 = -60.66617024950777
INFO - 16:33:27: cstr3 = 0.0011716100039924626
INFO - 16:33:27: Design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.5170539940557017 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.5173412290578288 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: *** End MDOScenario execution (time: 0:00:00.063362) ***
INFO - 16:33:27: ... 4%|▍ | 2/50 [00:00<00:05, 9.56 it/sec, obj=2.14]
INFO - 16:33:27:
INFO - 16:33:27: *** Start MDOScenario execution ***
INFO - 16:33:27: MDOScenario
INFO - 16:33:27: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:27: MDO formulation: DisciplinaryOpt
INFO - 16:33:27: Optimization problem:
INFO - 16:33:27: minimize obj2(x1, x2)
INFO - 16:33:27: with respect to x1, x2
INFO - 16:33:27: subject to constraints:
INFO - 16:33:27: cstr1(x1, x2) <= 0.0
INFO - 16:33:27: cstr2(x1, x2) <= 0.0
INFO - 16:33:27: cstr3(x1, x2) == 0.0
INFO - 16:33:27: over the design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.5170539940557017 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.5173412290578288 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:27: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:27:
INFO - 16:33:27: ... 1%| | 1/100 [00:00<00:00, 939.79 it/sec, obj=40.2]
INFO - 16:33:27:
INFO - 16:33:27: ... 2%|▏ | 2/100 [00:00<00:00, 186.48 it/sec, obj=35.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 3%|▎ | 3/100 [00:00<00:00, 201.49 it/sec, obj=50.4]
INFO - 16:33:27:
INFO - 16:33:27: ... 4%|▍ | 4/100 [00:00<00:00, 262.68 it/sec, obj=36.1]
INFO - 16:33:27:
INFO - 16:33:27: ... 5%|▌ | 5/100 [00:00<00:00, 281.89 it/sec, obj=35.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 6%|▌ | 6/100 [00:00<00:00, 296.08 it/sec, obj=35.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 7%|▋ | 7/100 [00:00<00:00, 234.83 it/sec, obj=36.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 8%|▊ | 8/100 [00:00<00:00, 232.36 it/sec, obj=36.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 9%|▉ | 9/100 [00:00<00:00, 228.55 it/sec, obj=36.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 10%|█ | 10/100 [00:00<00:00, 226.05 it/sec, obj=36.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 11%|█ | 11/100 [00:00<00:00, 243.12 it/sec, obj=Not evaluated]
INFO - 16:33:27:
INFO - 16:33:27:
INFO - 16:33:27: Optimization result:
INFO - 16:33:27: Optimizer info:
INFO - 16:33:27: Status: None
INFO - 16:33:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:27: Number of calls to the objective function by the optimizer: 12
INFO - 16:33:27: Solution:
INFO - 16:33:27: The solution is feasible.
INFO - 16:33:27: Objective: 36.59177704909952
INFO - 16:33:27: Standardized constraints:
INFO - 16:33:27: cstr1 = -6.181927091281441
INFO - 16:33:27: cstr2 = -59.1180600956955
INFO - 16:33:27: cstr3 = 9.47309592103096e-06
INFO - 16:33:27: Design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.7226317214657462 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.7226295859619043 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: *** End MDOScenario execution (time: 0:00:00.049294) ***
INFO - 16:33:27: ... 6%|▌ | 3/50 [00:00<00:04, 11.48 it/sec, obj=4.18]
INFO - 16:33:27:
INFO - 16:33:27: *** Start MDOScenario execution ***
INFO - 16:33:27: MDOScenario
INFO - 16:33:27: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:27: MDO formulation: DisciplinaryOpt
INFO - 16:33:27: Optimization problem:
INFO - 16:33:27: minimize obj2(x1, x2)
INFO - 16:33:27: with respect to x1, x2
INFO - 16:33:27: subject to constraints:
INFO - 16:33:27: cstr1(x1, x2) <= 0.0
INFO - 16:33:27: cstr2(x1, x2) <= 0.0
INFO - 16:33:27: cstr3(x1, x2) == 0.0
INFO - 16:33:27: over the design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.7226317214657462 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.7226295859619043 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:27: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:27:
INFO - 16:33:27: ... 1%| | 1/100 [00:00<00:00, 936.65 it/sec, obj=36.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 2%|▏ | 2/100 [00:00<00:00, 191.75 it/sec, obj=33.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 3%|▎ | 3/100 [00:00<00:00, 204.71 it/sec, obj=33.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 4%|▍ | 4/100 [00:00<00:00, 266.86 it/sec, obj=33.6]
INFO - 16:33:27:
INFO - 16:33:27: ... 5%|▌ | 5/100 [00:00<00:00, 205.05 it/sec, obj=33.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 6%|▌ | 6/100 [00:00<00:00, 204.39 it/sec, obj=33.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 7%|▋ | 7/100 [00:00<00:00, 197.45 it/sec, obj=33.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 8%|▊ | 8/100 [00:00<00:00, 219.82 it/sec, obj=Not evaluated]
INFO - 16:33:27:
INFO - 16:33:27:
INFO - 16:33:27: Optimization result:
INFO - 16:33:27: Optimizer info:
INFO - 16:33:27: Status: None
INFO - 16:33:27: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:27: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:27: Solution:
INFO - 16:33:27: The solution is feasible.
INFO - 16:33:27: Objective: 33.919631813422384
INFO - 16:33:27: Standardized constraints:
INFO - 16:33:27: cstr1 = -7.255848461968618
INFO - 16:33:27: cstr2 = -58.05233099585455
INFO - 16:33:27: cstr3 = 0.0038288011280993572
INFO - 16:33:27: Design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.8810887294903702 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.882451972460899 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: *** End MDOScenario execution (time: 0:00:00.040449) ***
INFO - 16:33:27: ... 8%|▊ | 4/50 [00:00<00:03, 13.14 it/sec, obj=6.22]
INFO - 16:33:27:
INFO - 16:33:27: *** Start MDOScenario execution ***
INFO - 16:33:27: MDOScenario
INFO - 16:33:27: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:27: MDO formulation: DisciplinaryOpt
INFO - 16:33:27: Optimization problem:
INFO - 16:33:27: minimize obj2(x1, x2)
INFO - 16:33:27: with respect to x1, x2
INFO - 16:33:27: subject to constraints:
INFO - 16:33:27: cstr1(x1, x2) <= 0.0
INFO - 16:33:27: cstr2(x1, x2) <= 0.0
INFO - 16:33:27: cstr3(x1, x2) == 0.0
INFO - 16:33:27: over the design space:
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: | x1 | 0 | 0.8810887294903702 | 5 | float |
INFO - 16:33:27: | x2 | -5 | 0.882451972460899 | 3 | float |
INFO - 16:33:27: +------+-------------+--------------------+-------------+-------+
INFO - 16:33:27: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:27: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:27:
INFO - 16:33:27: ... 1%| | 1/100 [00:00<00:00, 938.95 it/sec, obj=33.9]
INFO - 16:33:27:
INFO - 16:33:27: ... 2%|▏ | 2/100 [00:00<00:00, 190.26 it/sec, obj=31.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 3%|▎ | 3/100 [00:00<00:00, 195.30 it/sec, obj=31]
INFO - 16:33:27:
INFO - 16:33:27: ... 4%|▍ | 4/100 [00:00<00:00, 193.95 it/sec, obj=31.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 5%|▌ | 5/100 [00:00<00:00, 197.58 it/sec, obj=31.7]
INFO - 16:33:27:
INFO - 16:33:27: ... 6%|▌ | 6/100 [00:00<00:00, 198.12 it/sec, obj=31.7]
INFO - 16:33:27:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 199.13 it/sec, obj=31.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 200.00 it/sec, obj=31.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 219.82 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 31.74205545582052
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -8.126479874112459
INFO - 16:33:28: cstr2 = -57.137414252228
INFO - 16:33:28: cstr3 = 0.005542967398865173
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.019164112616626 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.013146467006703 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.045441) ***
INFO - 16:33:28: ... 10%|█ | 5/50 [00:00<00:03, 14.18 it/sec, obj=8.26]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.019164112616626 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.013146467006703 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 945.09 it/sec, obj=31.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 200.75 it/sec, obj=31.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 290.66 it/sec, obj=31.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 201.29 it/sec, obj=29.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 204.20 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 206.88 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 238.53 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 203.47 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 203.15 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 10%|█ | 10/100 [00:00<00:00, 203.16 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 11%|█ | 11/100 [00:00<00:00, 204.96 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 12%|█▏ | 12/100 [00:00<00:00, 222.22 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 15
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 29.88109811954699
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -8.904130006507508
INFO - 16:33:28: cstr2 = -56.236931646326525
INFO - 16:33:28: cstr3 = 0.008278899838032316
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.147966911922212 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.12147718739455 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.058768) ***
INFO - 16:33:28: ... 12%|█▏ | 6/50 [00:00<00:03, 14.49 it/sec, obj=10.3]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.147966911922212 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.12147718739455 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 930.21 it/sec, obj=29.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 200.00 it/sec, obj=29.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 290.18 it/sec, obj=29.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 202.91 it/sec, obj=27.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 205.02 it/sec, obj=28.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 207.03 it/sec, obj=28.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 238.78 it/sec, obj=28.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 249.29 it/sec, obj=28.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 212.45 it/sec, obj=28.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 10%|█ | 10/100 [00:00<00:00, 211.65 it/sec, obj=28.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 11%|█ | 11/100 [00:00<00:00, 211.06 it/sec, obj=28.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 12%|█▏ | 12/100 [00:00<00:00, 225.73 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 14
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 28.24715432188683
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -9.262042373098518
INFO - 16:33:28: cstr2 = -56.1244562169954
INFO - 16:33:28: cstr3 = 0.005733399147294094
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.234663898819147 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.249080330501465 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.057176) ***
INFO - 16:33:28: ... 14%|█▍ | 7/50 [00:00<00:02, 14.76 it/sec, obj=12.3]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.234663898819147 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.249080330501465 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 886.75 it/sec, obj=28.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 192.55 it/sec, obj=34.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 279.11 it/sec, obj=28.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 197.86 it/sec, obj=26.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 200.60 it/sec, obj=26.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 203.87 it/sec, obj=26.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 235.18 it/sec, obj=26.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 245.85 it/sec, obj=26.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 210.96 it/sec, obj=26.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 10%|█ | 10/100 [00:00<00:00, 210.49 it/sec, obj=26.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 11%|█ | 11/100 [00:00<00:00, 226.72 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 13
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 26.78338139404545
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -9.960291855840104
INFO - 16:33:28: cstr2 = -55.16052551821478
INFO - 16:33:28: cstr3 = 0.007261845302840797
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.355496446002296 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.325632675011445 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.052555) ***
INFO - 16:33:28: ... 16%|█▌ | 8/50 [00:00<00:02, 15.11 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.355496446002296 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.325632675011445 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 933.94 it/sec, obj=26.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 196.80 it/sec, obj=27.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 285.82 it/sec, obj=26.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 201.12 it/sec, obj=25.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 203.35 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 206.12 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 237.57 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 201.74 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 202.01 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 10%|█ | 10/100 [00:00<00:00, 202.32 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 11%|█ | 11/100 [00:00<00:00, 218.20 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 13
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 25.456747661016507
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -10.182735612985024
INFO - 16:33:28: cstr2 = -55.162076920524946
INFO - 16:33:28: cstr3 = 0.0021701470212498464
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.42858291701485 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.436051672599847 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.054407) ***
INFO - 16:33:28: ... 18%|█▊ | 9/50 [00:00<00:02, 15.34 it/sec, obj=16.4]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.42858291701485 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.436051672599847 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 928.77 it/sec, obj=25.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 197.64 it/sec, obj=25.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 286.90 it/sec, obj=25.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 200.48 it/sec, obj=24]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 203.60 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 206.24 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 237.91 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 201.87 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 202.19 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 10%|█ | 10/100 [00:00<00:00, 202.48 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 11%|█ | 11/100 [00:00<00:00, 218.36 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 13
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 24.238961391299995
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -10.581988784945853
INFO - 16:33:28: cstr2 = -54.70852336416608
INFO - 16:33:28: cstr3 = 0.0025169026502354086
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.51948629085676 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.517904982375415 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.054499) ***
INFO - 16:33:28: ... 20%|██ | 10/50 [00:00<00:02, 15.53 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.51948629085676 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.517904982375415 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 932.27 it/sec, obj=24.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 188.71 it/sec, obj=23.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 194.10 it/sec, obj=22.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 198.99 it/sec, obj=23.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 202.40 it/sec, obj=23.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 202.39 it/sec, obj=23.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 202.98 it/sec, obj=23.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 203.32 it/sec, obj=23.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 9%|▉ | 9/100 [00:00<00:00, 223.42 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 23.11579694920823
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -10.870999209927898
INFO - 16:33:28: cstr2 = -54.4411348517972
INFO - 16:33:28: cstr3 = 0.00016967686911684154
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.599298040465538 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.601320384086387 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.044321) ***
INFO - 16:33:28: ... 22%|██▏ | 11/50 [00:00<00:02, 15.92 it/sec, obj=20.5]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.599298040465538 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.601320384086387 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 938.95 it/sec, obj=23.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 187.94 it/sec, obj=22.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 196.65 it/sec, obj=21.9]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 201.85 it/sec, obj=22.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 204.53 it/sec, obj=22.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 203.96 it/sec, obj=22.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 204.12 it/sec, obj=22.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 227.01 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 8
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 22.070806133873354
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -11.152004241913563
INFO - 16:33:28: cstr2 = -54.144115710393905
INFO - 16:33:28: cstr3 = 7.790157006937193e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.678365637036731 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.677718962421308 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039318) ***
INFO - 16:33:28: ... 24%|██▍ | 12/50 [00:00<00:02, 16.37 it/sec, obj=22.5]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.678365637036731 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.677718962421308 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 949.80 it/sec, obj=22.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 191.54 it/sec, obj=21.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 199.67 it/sec, obj=21]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 203.84 it/sec, obj=21.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 206.27 it/sec, obj=21.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 205.52 it/sec, obj=21.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 205.62 it/sec, obj=21.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 228.78 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 8
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 21.094680946646342
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -11.382543763227893
INFO - 16:33:28: cstr2 = -53.916789711709825
INFO - 16:33:28: cstr3 = 6.34855576464588e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.752388616522955 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.752277529012576 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039055) ***
INFO - 16:33:28: ... 26%|██▌ | 13/50 [00:00<00:02, 16.78 it/sec, obj=24.6]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.752388616522955 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.752277529012576 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 764.13 it/sec, obj=21.1]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 182.89 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 198.36 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 258.44 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 200.86 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 201.15 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 198.47 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 220.73 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 20.179041747322394
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -11.584857264428393
INFO - 16:33:28: cstr2 = -53.715271313888515
INFO - 16:33:28: cstr3 = 3.6073850846918276e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.823588669105437 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.823610098824921 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.040265) ***
INFO - 16:33:28: ... 28%|██▊ | 14/50 [00:00<00:02, 17.12 it/sec, obj=26.6]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.823588669105437 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.823610098824921 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 903.17 it/sec, obj=20.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 186.71 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 201.68 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 262.86 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 197.84 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 198.37 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 199.41 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 222.13 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 19.31704274741805
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -11.761045500685725
INFO - 16:33:28: cstr2 = -53.53904269398964
INFO - 16:33:28: cstr3 = 1.9897482413711032e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.892176476077061 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.892191175189622 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.040250) ***
INFO - 16:33:28: ... 30%|███ | 15/50 [00:00<00:02, 17.43 it/sec, obj=28.6]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.892176476077061 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.892191175189622 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 953.68 it/sec, obj=19.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 186.31 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 201.26 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 262.52 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 202.31 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 202.07 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 202.38 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 225.23 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 18.50304766834182
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -11.91320794150552
INFO - 16:33:28: cstr2 = -53.38686658612579
INFO - 16:33:28: cstr3 = 1.6290651892347796e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.95836201774338 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.958374439015266 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039558) ***
INFO - 16:33:28: ... 32%|███▏ | 16/50 [00:00<00:01, 17.72 it/sec, obj=30.7]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 1.95836201774338 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 1.958374439015266 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 872.18 it/sec, obj=18.5]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 189.61 it/sec, obj=17.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 203.23 it/sec, obj=17.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 264.75 it/sec, obj=17.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 203.70 it/sec, obj=17.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 203.09 it/sec, obj=17.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 202.08 it/sec, obj=17.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 224.58 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 17.732348004038087
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.043720783556537
INFO - 16:33:28: cstr2 = -53.256342241945774
INFO - 16:33:28: cstr3 = 1.3382114616433682e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.022382616990152 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.022393121240538 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039721) ***
INFO - 16:33:28: ... 34%|███▍ | 17/50 [00:00<00:01, 17.98 it/sec, obj=32.7]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.022382616990152 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.022393121240538 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 936.23 it/sec, obj=17.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 192.10 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 205.78 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 268.10 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 205.47 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 204.57 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 204.60 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 227.53 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 17.000954389919343
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.154578598016688
INFO - 16:33:28: cstr2 = -53.14547523083256
INFO - 16:33:28: cstr3 = 1.112372472533707e-05
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.084437729731522 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.084446701206397 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039172) ***
INFO - 16:33:28: ... 36%|███▌ | 18/50 [00:00<00:01, 18.23 it/sec, obj=34.8]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.084437729731522 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.084446701206397 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 911.61 it/sec, obj=17]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 191.13 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 204.94 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 266.89 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 203.15 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 202.51 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 202.63 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 225.24 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 16.30545494358224
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.247487820159945
INFO - 16:33:28: cstr2 = -53.0525585506805
INFO - 16:33:28: cstr3 = 9.341781733951393e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.144697995152375 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.144705723625782 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039642) ***
INFO - 16:33:28: ... 38%|███▊ | 19/50 [00:01<00:01, 18.45 it/sec, obj=36.8]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.144697995152375 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.144705723625782 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 910.22 it/sec, obj=16.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 184.26 it/sec, obj=15.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 198.37 it/sec, obj=15.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 258.51 it/sec, obj=15.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 200.54 it/sec, obj=15.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 200.78 it/sec, obj=15.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 199.63 it/sec, obj=15.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 222.08 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 15.642904546075751
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.323921352239278
INFO - 16:33:28: cstr2 = -52.976118905633655
INFO - 16:33:28: cstr3 = 7.918085636049454e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.203310700523008 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.203317410168497 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.040077) ***
INFO - 16:33:28: ... 40%|████ | 20/50 [00:01<00:01, 18.64 it/sec, obj=38.8]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.203310700523008 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.203317410168497 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 945.94 it/sec, obj=15.6]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 191.70 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 205.99 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 268.59 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 204.18 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 202.99 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 203.09 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 225.91 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 15.010740057807617
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.385161018109931
INFO - 16:33:28: cstr2 = -52.91487417972193
INFO - 16:33:28: cstr3 = 6.767595998269371e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.260404026102934 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.260409892408245 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039788) ***
INFO - 16:33:28: ... 42%|████▏ | 21/50 [00:01<00:01, 18.83 it/sec, obj=40.9]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.260404026102934 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.260409892408245 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 950.87 it/sec, obj=15]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 191.93 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 205.19 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 267.10 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 204.63 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 203.98 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 204.24 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 227.14 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 14.40671436156971
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.432330566830654
INFO - 16:33:28: cstr2 = -52.867700404654286
INFO - 16:33:28: cstr3 = 5.828223912374142e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.316090345245806 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.316095507159964 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039296) ***
INFO - 16:33:28: ... 44%|████▍ | 22/50 [00:01<00:01, 19.01 it/sec, obj=42.9]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.316090345245806 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.316095507159964 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 921.22 it/sec, obj=14.4]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 190.37 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 204.71 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 266.92 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 204.98 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 204.31 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 203.80 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 226.85 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 13.828844363467137
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.46642168992727
INFO - 16:33:28: cstr2 = -52.83360572231145
INFO - 16:33:28: cstr3 = 5.053965359991253e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.370468825954106 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.370473394660559 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039387) ***
INFO - 16:33:28: ... 46%|████▌ | 23/50 [00:01<00:01, 19.17 it/sec, obj=45]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.370468825954106 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.370473394660559 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 953.03 it/sec, obj=13.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 191.04 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 205.07 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 267.31 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 204.98 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 204.35 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 204.48 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 227.39 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 13.27536950292725
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.48831477873483
INFO - 16:33:28: cstr2 = -52.811709613282154
INFO - 16:33:28: cstr3 = 4.4102718916860795e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.423627506497627 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.423631571833792 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.039245) ***
INFO - 16:33:28: ... 48%|████▊ | 24/50 [00:01<00:01, 19.33 it/sec, obj=47]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.423627506497627 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.423631571833792 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 900.45 it/sec, obj=13.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 191.32 it/sec, obj=12.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 197.27 it/sec, obj=12.8]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 257.41 it/sec, obj=12.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 191.86 it/sec, obj=12.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 193.53 it/sec, obj=12.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 193.96 it/sec, obj=12.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 216.02 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 12.744718286984694
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.498795665972281
INFO - 16:33:28: cstr2 = -52.801226145304284
INFO - 16:33:28: cstr3 = 3.870874571987315e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.475644969491541 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.475648604704302 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.041080) ***
INFO - 16:33:28: ... 50%|█████ | 25/50 [00:01<00:01, 19.45 it/sec, obj=49]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.475644969491541 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.475648604704302 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 914.99 it/sec, obj=12.7]
INFO - 16:33:28:
INFO - 16:33:28: ... 2%|▏ | 2/100 [00:00<00:00, 185.22 it/sec, obj=12.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 3%|▎ | 3/100 [00:00<00:00, 200.22 it/sec, obj=12.3]
INFO - 16:33:28:
INFO - 16:33:28: ... 4%|▍ | 4/100 [00:00<00:00, 261.06 it/sec, obj=12.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 5%|▌ | 5/100 [00:00<00:00, 202.10 it/sec, obj=12.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 6%|▌ | 6/100 [00:00<00:00, 201.88 it/sec, obj=12.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 7%|▋ | 7/100 [00:00<00:00, 202.08 it/sec, obj=12.2]
INFO - 16:33:28:
INFO - 16:33:28: ... 8%|▊ | 8/100 [00:00<00:00, 224.97 it/sec, obj=Not evaluated]
INFO - 16:33:28:
INFO - 16:33:28:
INFO - 16:33:28: Optimization result:
INFO - 16:33:28: Optimizer info:
INFO - 16:33:28: Status: None
INFO - 16:33:28: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:28: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:28: Solution:
INFO - 16:33:28: The solution is feasible.
INFO - 16:33:28: Objective: 12.235481029876208
INFO - 16:33:28: Standardized constraints:
INFO - 16:33:28: cstr1 = -12.49856926217808
INFO - 16:33:28: cstr2 = -52.80145032968164
INFO - 16:33:28: cstr3 = 3.4155702692828527e-06
INFO - 16:33:28: Design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.526591705484616 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.526594970794571 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: *** End MDOScenario execution (time: 0:00:00.040020) ***
INFO - 16:33:28: ... 52%|█████▏ | 26/50 [00:01<00:01, 19.58 it/sec, obj=51.1]
INFO - 16:33:28:
INFO - 16:33:28: *** Start MDOScenario execution ***
INFO - 16:33:28: MDOScenario
INFO - 16:33:28: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:28: MDO formulation: DisciplinaryOpt
INFO - 16:33:28: Optimization problem:
INFO - 16:33:28: minimize obj2(x1, x2)
INFO - 16:33:28: with respect to x1, x2
INFO - 16:33:28: subject to constraints:
INFO - 16:33:28: cstr1(x1, x2) <= 0.0
INFO - 16:33:28: cstr2(x1, x2) <= 0.0
INFO - 16:33:28: cstr3(x1, x2) == 0.0
INFO - 16:33:28: over the design space:
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: | x1 | 0 | 2.526591705484616 | 5 | float |
INFO - 16:33:28: | x2 | -5 | 2.526594970794571 | 3 | float |
INFO - 16:33:28: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:28: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:28: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:28:
INFO - 16:33:28: ... 1%| | 1/100 [00:00<00:00, 943.39 it/sec, obj=12.2]
INFO - 16:33:28:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 175.95 it/sec, obj=11.7]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 186.57 it/sec, obj=11.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 243.22 it/sec, obj=11.7]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 192.73 it/sec, obj=11.7]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 194.03 it/sec, obj=11.7]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 195.62 it/sec, obj=11.7]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 217.92 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 11.746387447065569
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.488270763209497
INFO - 16:33:29: cstr2 = -52.81174690860545
INFO - 16:33:29: cstr3 = 3.0286559535852575e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.576531233670002 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.576534178972493 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.040873) ***
INFO - 16:33:29: ... 54%|█████▍ | 27/50 [00:01<00:01, 19.68 it/sec, obj=53.1]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.576531233670002 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.576534178972493 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 949.58 it/sec, obj=11.7]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 187.94 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 202.34 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 262.80 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 202.60 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 202.57 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 203.12 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 225.91 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 11.276288087191698
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.46847493757269
INFO - 16:33:29: cstr2 = -52.83154106402759
INFO - 16:33:29: cstr3 = 2.697806259277513e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.625521030590181 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.625523697523561 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.039474) ***
INFO - 16:33:29: ... 56%|█████▌ | 28/50 [00:01<00:01, 19.80 it/sec, obj=55.1]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.625521030590181 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.625523697523561 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 910.42 it/sec, obj=11.3]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.00 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 200.59 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 260.68 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 197.49 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 198.21 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 199.36 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 221.95 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 10.824138827797562
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.439703881005212
INFO - 16:33:29: cstr2 = -52.86031066026405
INFO - 16:33:29: cstr3 = 2.413258648914507e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.673613305574845 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.673615729119723 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.040141) ***
INFO - 16:33:29: ... 58%|█████▊ | 29/50 [00:01<00:01, 19.91 it/sec, obj=57.2]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.673613305574845 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.673615729119723 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 953.47 it/sec, obj=10.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 187.76 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 200.56 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 261.51 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 197.74 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 197.80 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 198.92 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 221.48 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 10.388987838736117
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.402433536604322
INFO - 16:33:29: cstr2 = -52.89757972175886
INFO - 16:33:29: cstr3 = 2.1672147170193057e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.720855652738759 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.720857862465956 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.040165) ***
INFO - 16:33:29: ... 60%|██████ | 30/50 [00:01<00:00, 20.00 it/sec, obj=59.2]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.720855652738759 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.720857862465956 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 936.44 it/sec, obj=10.4]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.56 it/sec, obj=9.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 205.40 it/sec, obj=9.98]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 267.20 it/sec, obj=9.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 205.14 it/sec, obj=9.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 204.65 it/sec, obj=9.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 204.79 it/sec, obj=9.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 227.76 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 9.969964549551625
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.357099212520435
INFO - 16:33:29: cstr2 = -52.94291291379632
INFO - 16:33:29: cstr3 = 1.9533958521833483e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.767291602740001 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.767293623792794 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.039174) ***
INFO - 16:33:29: ... 62%|██████▏ | 31/50 [00:01<00:00, 20.10 it/sec, obj=61.3]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.767291602740001 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.767293623792794 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 921.83 it/sec, obj=9.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 193.35 it/sec, obj=9.56]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 207.14 it/sec, obj=9.58]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 270.05 it/sec, obj=9.56]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 201.53 it/sec, obj=9.57]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 200.40 it/sec, obj=9.57]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 201.21 it/sec, obj=9.57]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 224.02 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 9.566270256721957
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.304100279392163
INFO - 16:33:29: cstr2 = -52.995910843848655
INFO - 16:33:29: cstr3 = 1.7667094738271771e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.812961092515117 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.812962946388588 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.039744) ***
INFO - 16:33:29: ... 64%|██████▍ | 32/50 [00:01<00:00, 20.20 it/sec, obj=63.3]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.812961092515117 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.812962946388588 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 952.39 it/sec, obj=9.57]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.02 it/sec, obj=9.17]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 201.32 it/sec, obj=9.19]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 262.46 it/sec, obj=9.17]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 200.12 it/sec, obj=9.18]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 200.27 it/sec, obj=9.18]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 200.43 it/sec, obj=9.18]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 223.15 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 9.177170082342574
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.243804191817159
INFO - 16:33:29: cstr2 = -53.05620603916764
INFO - 16:33:29: cstr3 = 1.6029965053121487e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.857900867419894 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.857902572584027 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.039944) ***
INFO - 16:33:29: ... 66%|██████▌ | 33/50 [00:01<00:00, 20.28 it/sec, obj=65.3]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.857900867419894 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.857902572584027 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 938.53 it/sec, obj=9.18]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.67 it/sec, obj=8.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 205.71 it/sec, obj=8.81]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 267.91 it/sec, obj=8.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 198.34 it/sec, obj=8.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 196.31 it/sec, obj=8.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 197.60 it/sec, obj=8.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 219.87 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 8.801986053932161
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.176549949080384
INFO - 16:33:29: cstr2 = -53.12345948532793
INFO - 16:33:29: cstr3 = 1.4588381560542985e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.902144827297359 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.902146399698745 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.040409) ***
INFO - 16:33:29: ... 68%|██████▊ | 34/50 [00:01<00:00, 20.35 it/sec, obj=67.4]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.902144827297359 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.902146399698745 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 947.01 it/sec, obj=8.8]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 183.31 it/sec, obj=8.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 198.66 it/sec, obj=8.45]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 259.02 it/sec, obj=8.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 196.27 it/sec, obj=8.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 196.88 it/sec, obj=8.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 197.54 it/sec, obj=8.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 219.81 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 8.440091120039419
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.102651087844379
INFO - 16:33:29: cstr2 = -53.19735763296684
INFO - 16:33:29: cstr3 = 1.331406977556071e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.945724325743082 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.94572577921162 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.040627) ***
INFO - 16:33:29: ... 70%|███████ | 35/50 [00:01<00:00, 20.42 it/sec, obj=69.4]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.945724325743082 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.94572577921162 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 918.39 it/sec, obj=8.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.93 it/sec, obj=8.09]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 200.57 it/sec, obj=8.13]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 261.33 it/sec, obj=8.09]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 201.90 it/sec, obj=8.09]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 201.78 it/sec, obj=8.09]
INFO - 16:33:29:
INFO - 16:33:29: ... 7%|▋ | 7/100 [00:00<00:00, 203.01 it/sec, obj=8.09]
INFO - 16:33:29:
INFO - 16:33:29: ... 8%|▊ | 8/100 [00:00<00:00, 225.89 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 9
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 8.090870387303882
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.023044146782937
INFO - 16:33:29: cstr2 = -53.2761790966897
INFO - 16:33:29: cstr3 = 0.00020079622720459156
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.988738006012545 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.988608546591318 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.039492) ***
INFO - 16:33:29: ... 72%|███████▏ | 36/50 [00:01<00:00, 20.49 it/sec, obj=71.5]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 2.988738006012545 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.988608546591318 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 842.91 it/sec, obj=8.09]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 185.73 it/sec, obj=7.75]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 194.91 it/sec, obj=7.76]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 196.18 it/sec, obj=7.76]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 201.20 it/sec, obj=7.76]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 238.26 it/sec, obj=7.76]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 7
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 7.757023645324856
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.242976354675143
INFO - 16:33:29: cstr2 = -52.68684957831693
INFO - 16:33:29: cstr3 = 3.3273386748078337e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.061695677834655 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.029880) ***
INFO - 16:33:29: ... 74%|███████▍ | 37/50 [00:01<00:00, 20.68 it/sec, obj=73.5]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.061695677834655 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 931.45 it/sec, obj=7.76]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.04 it/sec, obj=7.44]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 198.33 it/sec, obj=7.45]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 199.09 it/sec, obj=7.45]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 207.35 it/sec, obj=7.45]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 6
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 7.445362573568088
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.55463742643191
INFO - 16:33:29: cstr2 = -51.88237530806971
INFO - 16:33:29: cstr3 = 4.853377205904508e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.143831210916396 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.028111) ***
INFO - 16:33:29: ... 76%|███████▌ | 38/50 [00:01<00:00, 20.88 it/sec, obj=75.5]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.143831210916396 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 872.54 it/sec, obj=7.45]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 190.56 it/sec, obj=7.15]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 197.90 it/sec, obj=7.15]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 197.63 it/sec, obj=7.15]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 202.74 it/sec, obj=7.15]
INFO - 16:33:29:
INFO - 16:33:29: ... 6%|▌ | 6/100 [00:00<00:00, 240.09 it/sec, obj=7.15]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 7
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 7.154620914031879
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -12.84537908596812
INFO - 16:33:29: cstr2 = -51.111372431504165
INFO - 16:33:29: cstr3 = 4.151890550474491e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.223874747087953 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.029654) ***
INFO - 16:33:29: ... 78%|███████▊ | 39/50 [00:01<00:00, 21.05 it/sec, obj=77.6]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.223874747087953 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 886.56 it/sec, obj=7.15]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 190.00 it/sec, obj=6.88]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 197.66 it/sec, obj=6.88]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 208.76 it/sec, obj=6.88]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 6.883276960536007
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -13.116723039463992
INFO - 16:33:29: cstr2 = -50.37140586526117
INFO - 16:33:29: cstr3 = 3.579350433824402e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.301978515879139 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023296) ***
INFO - 16:33:29: ... 80%|████████ | 40/50 [00:01<00:00, 21.29 it/sec, obj=79.6]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.301978515879139 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 864.09 it/sec, obj=6.88]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 190.74 it/sec, obj=6.63]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 199.06 it/sec, obj=6.63]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 209.91 it/sec, obj=6.63]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 6.629985301431095
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -13.370014698568903
INFO - 16:33:29: cstr2 = -49.660322954951624
INFO - 16:33:29: cstr3 = 3.107424234372047e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.378277057746577 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023049) ***
INFO - 16:33:29: ... 82%|████████▏ | 41/50 [00:01<00:00, 21.53 it/sec, obj=81.7]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.378277057746577 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 949.37 it/sec, obj=6.63]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 191.91 it/sec, obj=6.39]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 198.45 it/sec, obj=6.39]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 207.99 it/sec, obj=6.39]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 6.393549214890564
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -13.606450785109434
INFO - 16:33:29: cstr2 = -48.97620894882783
INFO - 16:33:29: cstr3 = 2.7149464330022965e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.452890044343788 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023257) ***
INFO - 16:33:29: ... 84%|████████▍ | 42/50 [00:01<00:00, 21.76 it/sec, obj=83.7]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.452890044343788 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 921.62 it/sec, obj=6.39]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 190.87 it/sec, obj=6.17]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 198.98 it/sec, obj=6.17]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 199.69 it/sec, obj=6.17]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 209.07 it/sec, obj=6.17]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 6
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 6.172898632413595
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -13.827101367586403
INFO - 16:33:29: cstr2 = -48.317351739694416
INFO - 16:33:29: cstr3 = 2.3858774227392132e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.525924482119862 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.028101) ***
INFO - 16:33:29: ... 86%|████████▌ | 43/50 [00:01<00:00, 21.93 it/sec, obj=85.7]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.525924482119862 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 872.90 it/sec, obj=6.17]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 190.52 it/sec, obj=5.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 198.78 it/sec, obj=5.97]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 209.07 it/sec, obj=5.97]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 5.967072131553423
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -14.032927868446574
INFO - 16:33:29: cstr2 = -47.682213053482386
INFO - 16:33:29: cstr3 = 2.107911811322083e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.59747651301184 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023126) ***
INFO - 16:33:29: ... 88%|████████▊ | 44/50 [00:01<00:00, 22.14 it/sec, obj=87.8]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.59747651301184 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 880.42 it/sec, obj=5.97]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 183.49 it/sec, obj=5.77]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 192.84 it/sec, obj=5.78]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 204.80 it/sec, obj=5.78]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 5.775202092447151
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -14.224797907552846
INFO - 16:33:29: cstr2 = -47.06940469984319
INFO - 16:33:29: cstr3 = 1.8715021212756255e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.667632898767327 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023576) ***
INFO - 16:33:29: ... 90%|█████████ | 45/50 [00:02<00:00, 22.35 it/sec, obj=89.8]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.667632898767327 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 798.31 it/sec, obj=5.78]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 188.53 it/sec, obj=5.59]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 197.09 it/sec, obj=5.6]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 207.61 it/sec, obj=5.6]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 5.5965023641763265
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -14.403497635823681
INFO - 16:33:29: cstr2 = -46.47766883842998
INFO - 16:33:29: cstr3 = 1.6691638791144214e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.736472254291057 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023446) ***
INFO - 16:33:29: ... 92%|█████████▏| 46/50 [00:02<00:00, 22.55 it/sec, obj=91.8]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.736472254291057 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 942.96 it/sec, obj=5.6]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 192.44 it/sec, obj=5.43]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 199.57 it/sec, obj=5.43]
INFO - 16:33:29:
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 200.24 it/sec, obj=5.43]
INFO - 16:33:29:
INFO - 16:33:29: ... 5%|▌ | 5/100 [00:00<00:00, 237.62 it/sec, obj=Not evaluated]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 5.430257940980228
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -14.569742059019779
INFO - 16:33:29: cstr2 = -45.90586146091414
INFO - 16:33:29: cstr3 = 1.4949736311109518e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.804066080011013 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.025080) ***
INFO - 16:33:29: ... 94%|█████████▍| 47/50 [00:02<00:00, 22.73 it/sec, obj=93.9]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.804066080011013 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 950.23 it/sec, obj=5.43]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 193.06 it/sec, obj=5.27]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 200.75 it/sec, obj=5.28]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 212.07 it/sec, obj=5.28]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 5.2758162619540165
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -14.724183738046001
INFO - 16:33:29: cstr2 = -45.352938470557305
INFO - 16:33:29: cstr3 = 1.344202033237707e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.870479631899447 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.999999999999998 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.022891) ***
INFO - 16:33:29: ... 96%|█████████▌| 48/50 [00:02<00:00, 22.93 it/sec, obj=95.9]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.870479631899447 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 2.999999999999998 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 906.88 it/sec, obj=5.28]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 190.95 it/sec, obj=5.13]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 198.07 it/sec, obj=5.13]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 208.63 it/sec, obj=5.13]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 5.132579832689039
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -14.867420167310959
INFO - 16:33:29: cstr2 = -44.81794387687677
INFO - 16:33:29: cstr3 = 1.213042054359903e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.935772659302045 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023330) ***
INFO - 16:33:29: ... 98%|█████████▊| 49/50 [00:02<00:00, 23.12 it/sec, obj=98]
INFO - 16:33:29:
INFO - 16:33:29: *** Start MDOScenario execution ***
INFO - 16:33:29: MDOScenario
INFO - 16:33:29: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 16:33:29: MDO formulation: DisciplinaryOpt
INFO - 16:33:29: Optimization problem:
INFO - 16:33:29: minimize obj2(x1, x2)
INFO - 16:33:29: with respect to x1, x2
INFO - 16:33:29: subject to constraints:
INFO - 16:33:29: cstr1(x1, x2) <= 0.0
INFO - 16:33:29: cstr2(x1, x2) <= 0.0
INFO - 16:33:29: cstr3(x1, x2) == 0.0
INFO - 16:33:29: over the design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 3.935772659302045 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 16:33:29: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 16:33:29:
INFO - 16:33:29: ... 1%| | 1/100 [00:00<00:00, 874.72 it/sec, obj=5.13]
INFO - 16:33:29:
INFO - 16:33:29: ... 2%|▏ | 2/100 [00:00<00:00, 184.31 it/sec, obj=5]
INFO - 16:33:29:
INFO - 16:33:29: ... 3%|▎ | 3/100 [00:00<00:00, 192.59 it/sec, obj=5]
INFO - 16:33:29:
ERROR - 16:33:29: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 16:33:29: ... 4%|▍ | 4/100 [00:00<00:00, 204.58 it/sec, obj=5]
INFO - 16:33:29:
INFO - 16:33:29:
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: GEMSEO Stopped the driver
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 5
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 4.9999999313496275
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr1 = -15.00000006865037
INFO - 16:33:29: cstr2 = -44.299999725398514
INFO - 16:33:29: cstr3 = 1.0984059315433115e-06
INFO - 16:33:29: Design space:
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: | x1 | 0 | 4.000000034325185 | 5 | float |
INFO - 16:33:29: | x2 | -5 | 3 | 3 | float |
INFO - 16:33:29: +------+-------------+-------------------+-------------+-------+
INFO - 16:33:29: *** End MDOScenario execution (time: 0:00:00.023526) ***
INFO - 16:33:29: ... 100%|██████████| 50/50 [00:02<00:00, 23.30 it/sec, obj=100]
INFO - 16:33:29: Optimization result:
INFO - 16:33:29: Optimizer info:
INFO - 16:33:29: Status: None
INFO - 16:33:29: Message: None
INFO - 16:33:29: Number of calls to the objective function by the optimizer: 50
INFO - 16:33:29: Solution:
INFO - 16:33:29: The solution is feasible.
INFO - 16:33:29: Objective: 0.10832777706440924
INFO - 16:33:29: Standardized constraints:
INFO - 16:33:29: cstr3 = 0.008327777064409236
INFO - 16:33:29: Design space:
INFO - 16:33:29: +-------------+-------------+-------+-------------+-------+
INFO - 16:33:29: | name | lower_bound | value | upper_bound | type |
INFO - 16:33:29: +-------------+-------------+-------+-------------+-------+
INFO - 16:33:29: | obj1_target | 0.1 | 0.1 | 100 | float |
INFO - 16:33:29: +-------------+-------------+-------+-------------+-------+
INFO - 16:33:29: *** End DOEScenario execution (time: 0:00:02.156465) ***
<gemseo.post.pareto_front.ParetoFront object at 0x7fc2278f1fa0>
Total running time of the script: ( 0 minutes 2.495 seconds)