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 high-level functions and to configure the logger.
from __future__ import annotations
from gemseo import configure_logger
from gemseo import create_design_space
from gemseo import create_discipline
from gemseo import create_scenario
from gemseo.disciplines.scenario_adapters.mdo_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 - 08:41:03:
INFO - 08:41:03: *** Start DOEScenario execution ***
INFO - 08:41:03: DOEScenario
INFO - 08:41:03: Disciplines: MDOScenario_adapter
INFO - 08:41:03: MDO formulation: DisciplinaryOpt
INFO - 08:41:03: Optimization problem:
INFO - 08:41:03: minimize obj1(obj1_target)
INFO - 08:41:03: with respect to obj1_target
INFO - 08:41:03: subject to constraints:
INFO - 08:41:03: cstr3(obj1_target) == 0.0
INFO - 08:41:03: over the design space:
INFO - 08:41:03: +-------------+-------------+-------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +-------------+-------------+-------+-------------+-------+
INFO - 08:41:03: | obj1_target | 0.1 | 1 | 100 | float |
INFO - 08:41:03: +-------------+-------------+-------+-------------+-------+
INFO - 08:41:03: Solving optimization problem with algorithm fullfact:
INFO - 08:41:03: ... 0%| | 0/50 [00:00<?, ?it]
INFO - 08:41:03:
INFO - 08:41:03: *** Start MDOScenario execution ***
INFO - 08:41:03: MDOScenario
INFO - 08:41:03: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:03: MDO formulation: DisciplinaryOpt
INFO - 08:41:03: Optimization problem:
INFO - 08:41:03: minimize obj2(x1, x2)
INFO - 08:41:03: with respect to x1, x2
INFO - 08:41:03: subject to constraints:
INFO - 08:41:03: cstr1(x1, x2) <= 0.0
INFO - 08:41:03: cstr2(x1, x2) <= 0.0
INFO - 08:41:03: cstr3(x1, x2) == 0.0
INFO - 08:41:03: over the design space:
INFO - 08:41:03: +------+-------------+-------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+-------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 2 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 2 | 3 | float |
INFO - 08:41:03: +------+-------------+-------+-------------+-------+
INFO - 08:41:03: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:03: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:03:
INFO - 08:41:03: ... 1%| | 1/100 [00:00<00:01, 98.89 it/sec, obj=18]
INFO - 08:41:03:
INFO - 08:41:03: ... 2%|▏ | 2/100 [00:00<00:00, 100.94 it/sec, obj=32.3]
INFO - 08:41:03:
INFO - 08:41:03: ... 3%|▎ | 3/100 [00:00<00:00, 148.83 it/sec, obj=19.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 4%|▍ | 4/100 [00:00<00:00, 176.30 it/sec, obj=18.1]
INFO - 08:41:03:
INFO - 08:41:03: ... 5%|▌ | 5/100 [00:00<00:00, 197.89 it/sec, obj=18]
INFO - 08:41:03:
INFO - 08:41:03: ... 6%|▌ | 6/100 [00:00<00:00, 175.01 it/sec, obj=34]
INFO - 08:41:03:
INFO - 08:41:03: ... 7%|▋ | 7/100 [00:00<00:00, 202.23 it/sec, obj=20.5]
INFO - 08:41:03:
INFO - 08:41:03: ... 8%|▊ | 8/100 [00:00<00:00, 180.89 it/sec, obj=33.3]
INFO - 08:41:03:
INFO - 08:41:03: ... 9%|▉ | 9/100 [00:00<00:00, 201.97 it/sec, obj=22]
INFO - 08:41:03:
INFO - 08:41:03: ... 10%|█ | 10/100 [00:00<00:00, 184.68 it/sec, obj=34.5]
INFO - 08:41:03:
INFO - 08:41:03: ... 11%|█ | 11/100 [00:00<00:00, 187.72 it/sec, obj=41.7]
INFO - 08:41:03:
INFO - 08:41:03: ... 12%|█▏ | 12/100 [00:00<00:00, 203.63 it/sec, obj=38.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 13%|█▎ | 13/100 [00:00<00:00, 189.40 it/sec, obj=43.7]
INFO - 08:41:03:
INFO - 08:41:03: ... 14%|█▍ | 14/100 [00:00<00:00, 192.22 it/sec, obj=44.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 15%|█▌ | 15/100 [00:00<00:00, 205.03 it/sec, obj=43.9]
INFO - 08:41:03:
INFO - 08:41:03: ... 16%|█▌ | 16/100 [00:00<00:00, 193.51 it/sec, obj=46.5]
INFO - 08:41:03:
INFO - 08:41:03: ... 17%|█▋ | 17/100 [00:00<00:00, 204.72 it/sec, obj=45.3]
INFO - 08:41:03:
INFO - 08:41:03: ... 18%|█▊ | 18/100 [00:00<00:00, 194.60 it/sec, obj=47.1]
INFO - 08:41:03:
INFO - 08:41:03: ... 19%|█▉ | 19/100 [00:00<00:00, 195.76 it/sec, obj=47.7]
INFO - 08:41:03:
INFO - 08:41:03: ... 20%|██ | 20/100 [00:00<00:00, 196.72 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 21%|██ | 21/100 [00:00<00:00, 205.89 it/sec, obj=47.7]
INFO - 08:41:03:
INFO - 08:41:03: ... 22%|██▏ | 22/100 [00:00<00:00, 196.06 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 23%|██▎ | 23/100 [00:00<00:00, 196.24 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 24%|██▍ | 24/100 [00:00<00:00, 196.88 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 25%|██▌ | 25/100 [00:00<00:00, 197.43 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 26%|██▌ | 26/100 [00:00<00:00, 198.67 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 27%|██▋ | 27/100 [00:00<00:00, 205.74 it/sec, obj=47.8]
INFO - 08:41:03:
INFO - 08:41:03:
INFO - 08:41:03: Optimization result:
INFO - 08:41:03: Optimizer info:
INFO - 08:41:03: Status: None
INFO - 08:41:03: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:03: Number of calls to the objective function by the optimizer: 35
INFO - 08:41:03: Solution:
INFO - 08:41:03: The solution is feasible.
INFO - 08:41:03: Objective: 47.703727654876516
INFO - 08:41:03: Standardized constraints:
INFO - 08:41:03: cstr1 = -1.0667466573428754
INFO - 08:41:03: cstr2 = -64.31467159436009
INFO - 08:41:03: cstr3 = 0.008327777064409236
INFO - 08:41:03: Design space:
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 0.1093828601608978 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 0.1229525687780608 | 3 | float |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: *** End MDOScenario execution (time: 0:00:00.145895) ***
INFO - 08:41:03: ... 2%|▏ | 1/50 [00:00<00:07, 6.53 it/sec, obj=0.108]
INFO - 08:41:03:
INFO - 08:41:03: *** Start MDOScenario execution ***
INFO - 08:41:03: MDOScenario
INFO - 08:41:03: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:03: MDO formulation: DisciplinaryOpt
INFO - 08:41:03: Optimization problem:
INFO - 08:41:03: minimize obj2(x1, x2)
INFO - 08:41:03: with respect to x1, x2
INFO - 08:41:03: subject to constraints:
INFO - 08:41:03: cstr1(x1, x2) <= 0.0
INFO - 08:41:03: cstr2(x1, x2) <= 0.0
INFO - 08:41:03: cstr3(x1, x2) == 0.0
INFO - 08:41:03: over the design space:
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 0.1093828601608978 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 0.1229525687780608 | 3 | float |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:03: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:03:
INFO - 08:41:03: ... 1%| | 1/100 [00:00<00:00, 798.61 it/sec, obj=47.7]
INFO - 08:41:03:
INFO - 08:41:03: ... 2%|▏ | 2/100 [00:00<00:00, 195.00 it/sec, obj=38]
INFO - 08:41:03:
INFO - 08:41:03: ... 3%|▎ | 3/100 [00:00<00:00, 283.37 it/sec, obj=45.4]
INFO - 08:41:03:
INFO - 08:41:03: ... 4%|▍ | 4/100 [00:00<00:00, 204.19 it/sec, obj=26]
INFO - 08:41:03:
INFO - 08:41:03: ... 5%|▌ | 5/100 [00:00<00:00, 251.05 it/sec, obj=43.1]
INFO - 08:41:03:
INFO - 08:41:03: ... 6%|▌ | 6/100 [00:00<00:00, 200.04 it/sec, obj=40.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 7%|▋ | 7/100 [00:00<00:00, 205.40 it/sec, obj=35.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 8%|▊ | 8/100 [00:00<00:00, 232.53 it/sec, obj=39.8]
INFO - 08:41:03:
INFO - 08:41:03: ... 9%|▉ | 9/100 [00:00<00:00, 202.93 it/sec, obj=40]
INFO - 08:41:03:
INFO - 08:41:03: ... 10%|█ | 10/100 [00:00<00:00, 204.61 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 11%|█ | 11/100 [00:00<00:00, 203.73 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 12%|█▏ | 12/100 [00:00<00:00, 203.19 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 13%|█▎ | 13/100 [00:00<00:00, 203.82 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 14%|█▍ | 14/100 [00:00<00:00, 205.60 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 15%|█▌ | 15/100 [00:00<00:00, 219.23 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03:
INFO - 08:41:03: Optimization result:
INFO - 08:41:03: Optimizer info:
INFO - 08:41:03: Status: None
INFO - 08:41:03: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:03: Number of calls to the objective function by the optimizer: 19
INFO - 08:41:03: Solution:
INFO - 08:41:03: The solution is feasible.
INFO - 08:41:03: Objective: 40.19103454891671
INFO - 08:41:03: Standardized constraints:
INFO - 08:41:03: cstr1 = -4.635553160505001
INFO - 08:41:03: cstr2 = -60.66617024950777
INFO - 08:41:03: cstr3 = 0.0011716100039924626
INFO - 08:41:03: Design space:
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 0.5170539940557017 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 0.5173412290578288 | 3 | float |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: *** End MDOScenario execution (time: 0:00:00.081658) ***
INFO - 08:41:03: ... 4%|▍ | 2/50 [00:00<00:05, 8.40 it/sec, obj=2.14]
INFO - 08:41:03:
INFO - 08:41:03: *** Start MDOScenario execution ***
INFO - 08:41:03: MDOScenario
INFO - 08:41:03: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:03: MDO formulation: DisciplinaryOpt
INFO - 08:41:03: Optimization problem:
INFO - 08:41:03: minimize obj2(x1, x2)
INFO - 08:41:03: with respect to x1, x2
INFO - 08:41:03: subject to constraints:
INFO - 08:41:03: cstr1(x1, x2) <= 0.0
INFO - 08:41:03: cstr2(x1, x2) <= 0.0
INFO - 08:41:03: cstr3(x1, x2) == 0.0
INFO - 08:41:03: over the design space:
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 0.5170539940557017 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 0.5173412290578288 | 3 | float |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:03: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:03:
INFO - 08:41:03: ... 1%| | 1/100 [00:00<00:00, 919.00 it/sec, obj=40.2]
INFO - 08:41:03:
INFO - 08:41:03: ... 2%|▏ | 2/100 [00:00<00:00, 191.76 it/sec, obj=35.9]
INFO - 08:41:03:
INFO - 08:41:03: ... 3%|▎ | 3/100 [00:00<00:00, 207.18 it/sec, obj=50.4]
INFO - 08:41:03:
INFO - 08:41:03: ... 4%|▍ | 4/100 [00:00<00:00, 270.09 it/sec, obj=36.1]
INFO - 08:41:03:
INFO - 08:41:03: ... 5%|▌ | 5/100 [00:00<00:00, 288.52 it/sec, obj=35.9]
INFO - 08:41:03:
INFO - 08:41:03: ... 6%|▌ | 6/100 [00:00<00:00, 301.45 it/sec, obj=35.9]
INFO - 08:41:03:
INFO - 08:41:03: ... 7%|▋ | 7/100 [00:00<00:00, 235.37 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03: ... 8%|▊ | 8/100 [00:00<00:00, 231.96 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03: ... 9%|▉ | 9/100 [00:00<00:00, 227.37 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03: ... 10%|█ | 10/100 [00:00<00:00, 224.92 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03: ... 11%|█ | 11/100 [00:00<00:00, 225.27 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03: ... 12%|█▏ | 12/100 [00:00<00:00, 244.09 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03:
INFO - 08:41:03: Optimization result:
INFO - 08:41:03: Optimizer info:
INFO - 08:41:03: Status: None
INFO - 08:41:03: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:03: Number of calls to the objective function by the optimizer: 14
INFO - 08:41:03: Solution:
INFO - 08:41:03: The solution is feasible.
INFO - 08:41:03: Objective: 36.59177704909952
INFO - 08:41:03: Standardized constraints:
INFO - 08:41:03: cstr1 = -6.181927091281441
INFO - 08:41:03: cstr2 = -59.1180600956955
INFO - 08:41:03: cstr3 = 9.47309592103096e-06
INFO - 08:41:03: Design space:
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 0.7226317214657462 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 0.7226295859619043 | 3 | float |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: *** End MDOScenario execution (time: 0:00:00.063295) ***
INFO - 08:41:03: ... 6%|▌ | 3/50 [00:00<00:04, 9.85 it/sec, obj=4.18]
INFO - 08:41:03:
INFO - 08:41:03: *** Start MDOScenario execution ***
INFO - 08:41:03: MDOScenario
INFO - 08:41:03: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:03: MDO formulation: DisciplinaryOpt
INFO - 08:41:03: Optimization problem:
INFO - 08:41:03: minimize obj2(x1, x2)
INFO - 08:41:03: with respect to x1, x2
INFO - 08:41:03: subject to constraints:
INFO - 08:41:03: cstr1(x1, x2) <= 0.0
INFO - 08:41:03: cstr2(x1, x2) <= 0.0
INFO - 08:41:03: cstr3(x1, x2) == 0.0
INFO - 08:41:03: over the design space:
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: | x1 | 0 | 0.7226317214657462 | 5 | float |
INFO - 08:41:03: | x2 | -5 | 0.7226295859619043 | 3 | float |
INFO - 08:41:03: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:03: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:03: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:03:
INFO - 08:41:03: ... 1%| | 1/100 [00:00<00:00, 910.22 it/sec, obj=36.6]
INFO - 08:41:03:
INFO - 08:41:03: ... 2%|▏ | 2/100 [00:00<00:00, 186.10 it/sec, obj=33.6]
INFO - 08:41:03:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 197.80 it/sec, obj=33.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 258.13 it/sec, obj=33.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 198.83 it/sec, obj=33.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 200.53 it/sec, obj=33.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 202.67 it/sec, obj=33.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 202.59 it/sec, obj=33.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 203.65 it/sec, obj=33.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 220.60 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 11
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 33.919631813422384
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -7.255848461968618
INFO - 08:41:04: cstr2 = -58.05233099585455
INFO - 08:41:04: cstr3 = 0.0038288011280993572
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 0.8810887294903702 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 0.882451972460899 | 3 | float |
INFO - 08:41:04: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.057747) ***
INFO - 08:41:04: ... 8%|▊ | 4/50 [00:00<00:04, 10.94 it/sec, obj=6.22]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 0.8810887294903702 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 0.882451972460899 | 3 | float |
INFO - 08:41:04: +------+-------------+--------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 876.00 it/sec, obj=33.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 188.97 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 198.25 it/sec, obj=31]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 203.51 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 206.85 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 207.41 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 208.26 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 208.96 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 209.41 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 226.81 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 31.74205545582052
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -8.126479874112459
INFO - 08:41:04: cstr2 = -57.137414252228
INFO - 08:41:04: cstr3 = 0.005542967398865173
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.019164112616626 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.013146467006703 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.056387) ***
INFO - 08:41:04: ... 10%|█ | 5/50 [00:00<00:03, 11.76 it/sec, obj=8.26]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.019164112616626 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.013146467006703 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 919.40 it/sec, obj=31.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 199.06 it/sec, obj=31.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 289.03 it/sec, obj=31.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 200.16 it/sec, obj=29.4]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 204.16 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 208.25 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 240.24 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 205.68 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 206.18 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 206.97 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 11%|█ | 11/100 [00:00<00:00, 209.46 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 12%|█▏ | 12/100 [00:00<00:00, 227.08 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 15
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 29.88109811954699
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -8.904130006507508
INFO - 08:41:04: cstr2 = -56.236931646326525
INFO - 08:41:04: cstr3 = 0.008278899838032316
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.147966911922212 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.12147718739455 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.065772) ***
INFO - 08:41:04: ... 12%|█▏ | 6/50 [00:00<00:03, 12.15 it/sec, obj=10.3]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.147966911922212 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.12147718739455 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 880.42 it/sec, obj=29.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 199.17 it/sec, obj=29.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 289.20 it/sec, obj=29.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 202.61 it/sec, obj=27.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 205.68 it/sec, obj=28.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 208.98 it/sec, obj=28.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 241.06 it/sec, obj=28.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 250.88 it/sec, obj=28.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 214.69 it/sec, obj=28.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 214.48 it/sec, obj=28.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 11%|█ | 11/100 [00:00<00:00, 212.82 it/sec, obj=28.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 12%|█▏ | 12/100 [00:00<00:00, 212.80 it/sec, obj=28.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 13%|█▎ | 13/100 [00:00<00:00, 225.81 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 15
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 28.24715432188683
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -9.262042373098518
INFO - 08:41:04: cstr2 = -56.1244562169954
INFO - 08:41:04: cstr3 = 0.005733399147294094
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.234663898819147 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.249080330501465 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.069781) ***
INFO - 08:41:04: ... 14%|█▍ | 7/50 [00:00<00:03, 12.35 it/sec, obj=12.3]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.234663898819147 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.249080330501465 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 917.59 it/sec, obj=28.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 200.71 it/sec, obj=34.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 291.01 it/sec, obj=28.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 202.36 it/sec, obj=26.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 205.82 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 206.92 it/sec, obj=26.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 238.70 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 248.08 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 210.68 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 211.02 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 11%|█ | 11/100 [00:00<00:00, 210.46 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 12%|█▏ | 12/100 [00:00<00:00, 212.51 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 13%|█▎ | 13/100 [00:00<00:00, 228.89 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 16
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 26.78338139404545
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -9.960291855840104
INFO - 08:41:04: cstr2 = -55.16052551821478
INFO - 08:41:04: cstr3 = 0.007261845302840797
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.355496446002296 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.325632675011445 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.069616) ***
INFO - 08:41:04: ... 16%|█▌ | 8/50 [00:00<00:03, 12.51 it/sec, obj=14.4]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.355496446002296 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.325632675011445 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 915.99 it/sec, obj=26.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 200.04 it/sec, obj=27.4]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 290.42 it/sec, obj=26.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 203.04 it/sec, obj=25.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 206.40 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 210.36 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 242.63 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 205.62 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 205.23 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 206.07 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 11%|█ | 11/100 [00:00<00:00, 208.67 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 12%|█▏ | 12/100 [00:00<00:00, 226.23 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 15
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 25.456747661016507
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -10.182735612985024
INFO - 08:41:04: cstr2 = -55.162076920524946
INFO - 08:41:04: cstr3 = 0.0021701470212498464
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.42858291701485 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.436051672599847 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.065994) ***
INFO - 08:41:04: ... 18%|█▊ | 9/50 [00:00<00:03, 12.70 it/sec, obj=16.4]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.42858291701485 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.436051672599847 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 896.99 it/sec, obj=25.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 198.28 it/sec, obj=25.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 287.93 it/sec, obj=25.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 201.75 it/sec, obj=24]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 205.04 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 206.94 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 238.73 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 203.73 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 204.94 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 10%|█ | 10/100 [00:00<00:00, 205.30 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 11%|█ | 11/100 [00:00<00:00, 207.72 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 12%|█▏ | 12/100 [00:00<00:00, 225.21 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 15
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 24.238961391299995
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -10.581988784945853
INFO - 08:41:04: cstr2 = -54.70852336416608
INFO - 08:41:04: cstr3 = 0.0025169026502354086
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.51948629085676 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.517904982375415 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.066137) ***
INFO - 08:41:04: ... 20%|██ | 10/50 [00:00<00:03, 12.86 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.51948629085676 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.517904982375415 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 873.81 it/sec, obj=24.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 191.54 it/sec, obj=23.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 200.44 it/sec, obj=22.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 205.29 it/sec, obj=23.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 208.11 it/sec, obj=23.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 208.65 it/sec, obj=23.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 209.75 it/sec, obj=23.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 210.20 it/sec, obj=23.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 229.89 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 9
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 23.11579694920823
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -10.870999209927898
INFO - 08:41:04: cstr2 = -54.4411348517972
INFO - 08:41:04: cstr3 = 0.00016967686911684154
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.599298040465538 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.601320384086387 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.051113) ***
INFO - 08:41:04: ... 22%|██▏ | 11/50 [00:00<00:02, 13.22 it/sec, obj=20.5]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.599298040465538 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.601320384086387 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 895.26 it/sec, obj=23.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 190.76 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 199.08 it/sec, obj=21.9]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 204.43 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 207.95 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 208.50 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 209.39 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 211.02 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 230.71 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 9
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 22.070806133873354
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -11.152004241913563
INFO - 08:41:04: cstr2 = -54.144115710393905
INFO - 08:41:04: cstr3 = 7.790157006937193e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.678365637036731 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.677718962421308 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.050901) ***
INFO - 08:41:04: ... 24%|██▍ | 12/50 [00:00<00:02, 13.55 it/sec, obj=22.5]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.678365637036731 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.677718962421308 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 898.33 it/sec, obj=22.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 192.99 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 201.28 it/sec, obj=21]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 205.81 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 209.07 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 208.87 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 209.74 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 210.22 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 229.79 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 9
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 21.094680946646342
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -11.382543763227893
INFO - 08:41:04: cstr2 = -53.916789711709825
INFO - 08:41:04: cstr3 = 6.34855576464588e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.752388616522955 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.752277529012576 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.050975) ***
INFO - 08:41:04: ... 26%|██▌ | 13/50 [00:00<00:02, 13.84 it/sec, obj=24.6]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.752388616522955 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.752277529012576 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 835.02 it/sec, obj=21.1]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 191.44 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 206.91 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 269.76 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 206.61 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 207.36 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 208.49 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 209.32 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 228.95 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 20.179041747322394
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -11.584857264428393
INFO - 08:41:04: cstr2 = -53.715271313888515
INFO - 08:41:04: cstr3 = 3.6073850846918276e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.823588669105437 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.823610098824921 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.051211) ***
INFO - 08:41:04: ... 28%|██▊ | 14/50 [00:00<00:02, 14.09 it/sec, obj=26.6]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.823588669105437 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.823610098824921 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 921.83 it/sec, obj=20.2]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 192.93 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 207.98 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 271.13 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 207.20 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 207.72 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 208.67 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 209.42 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 229.09 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 19.31704274741805
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -11.761045500685725
INFO - 08:41:04: cstr2 = -53.53904269398964
INFO - 08:41:04: cstr3 = 1.9897482413711032e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.892176476077061 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.892191175189622 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.051926) ***
INFO - 08:41:04: ... 30%|███ | 15/50 [00:01<00:02, 14.30 it/sec, obj=28.6]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.892176476077061 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.892191175189622 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 907.47 it/sec, obj=19.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 189.67 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 204.89 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 267.12 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 203.98 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 204.90 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 206.27 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 207.21 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 226.77 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 18.50304766834182
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -11.91320794150552
INFO - 08:41:04: cstr2 = -53.38686658612579
INFO - 08:41:04: cstr3 = 1.6290651892347796e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.95836201774338 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.958374439015266 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.051393) ***
INFO - 08:41:04: ... 32%|███▏ | 16/50 [00:01<00:02, 14.51 it/sec, obj=30.7]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 1.95836201774338 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 1.958374439015266 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 830.06 it/sec, obj=18.5]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 190.60 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 206.14 it/sec, obj=17.8]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 268.76 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 205.80 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 206.31 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 207.45 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 209.15 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 228.69 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 17.732348004038087
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -12.043720783556537
INFO - 08:41:04: cstr2 = -53.256342241945774
INFO - 08:41:04: cstr3 = 1.3382114616433682e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 2.022382616990152 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 2.022393121240538 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.051418) ***
INFO - 08:41:04: ... 34%|███▍ | 17/50 [00:01<00:02, 14.69 it/sec, obj=32.7]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 2.022382616990152 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 2.022393121240538 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 876.00 it/sec, obj=17.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 190.58 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 206.49 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 269.22 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 206.46 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 207.19 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 208.13 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 193.47 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 212.10 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 22
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 17.000954389919343
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -12.154578598016688
INFO - 08:41:04: cstr2 = -53.14547523083256
INFO - 08:41:04: cstr3 = 1.112372472533707e-05
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 2.084437729731522 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 2.084446701206397 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.054737) ***
INFO - 08:41:04: ... 36%|███▌ | 18/50 [00:01<00:02, 14.81 it/sec, obj=34.8]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 2.084437729731522 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 2.084446701206397 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 916.99 it/sec, obj=17]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 188.41 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 204.69 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 266.59 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 204.84 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 205.79 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 206.66 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 8%|▊ | 8/100 [00:00<00:00, 207.50 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 9%|▉ | 9/100 [00:00<00:00, 226.96 it/sec, obj=Not evaluated]
INFO - 08:41:04:
INFO - 08:41:04:
INFO - 08:41:04: Optimization result:
INFO - 08:41:04: Optimizer info:
INFO - 08:41:04: Status: None
INFO - 08:41:04: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:04: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:04: Solution:
INFO - 08:41:04: The solution is feasible.
INFO - 08:41:04: Objective: 16.30545494358224
INFO - 08:41:04: Standardized constraints:
INFO - 08:41:04: cstr1 = -12.247487820159945
INFO - 08:41:04: cstr2 = -53.0525585506805
INFO - 08:41:04: cstr3 = 9.341781733951393e-06
INFO - 08:41:04: Design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 2.144697995152375 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 2.144705723625782 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: *** End MDOScenario execution (time: 0:00:00.051726) ***
INFO - 08:41:04: ... 38%|███▊ | 19/50 [00:01<00:02, 14.96 it/sec, obj=36.8]
INFO - 08:41:04:
INFO - 08:41:04: *** Start MDOScenario execution ***
INFO - 08:41:04: MDOScenario
INFO - 08:41:04: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:04: MDO formulation: DisciplinaryOpt
INFO - 08:41:04: Optimization problem:
INFO - 08:41:04: minimize obj2(x1, x2)
INFO - 08:41:04: with respect to x1, x2
INFO - 08:41:04: subject to constraints:
INFO - 08:41:04: cstr1(x1, x2) <= 0.0
INFO - 08:41:04: cstr2(x1, x2) <= 0.0
INFO - 08:41:04: cstr3(x1, x2) == 0.0
INFO - 08:41:04: over the design space:
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: | x1 | 0 | 2.144697995152375 | 5 | float |
INFO - 08:41:04: | x2 | -5 | 2.144705723625782 | 3 | float |
INFO - 08:41:04: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:04: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:04: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:04:
INFO - 08:41:04: ... 1%| | 1/100 [00:00<00:00, 891.84 it/sec, obj=16.3]
INFO - 08:41:04:
INFO - 08:41:04: ... 2%|▏ | 2/100 [00:00<00:00, 189.22 it/sec, obj=15.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 3%|▎ | 3/100 [00:00<00:00, 205.01 it/sec, obj=15.7]
INFO - 08:41:04:
INFO - 08:41:04: ... 4%|▍ | 4/100 [00:00<00:00, 267.37 it/sec, obj=15.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 5%|▌ | 5/100 [00:00<00:00, 205.29 it/sec, obj=15.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 6%|▌ | 6/100 [00:00<00:00, 206.15 it/sec, obj=15.6]
INFO - 08:41:04:
INFO - 08:41:04: ... 7%|▋ | 7/100 [00:00<00:00, 206.85 it/sec, obj=15.6]
INFO - 08:41:04:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 109.51 it/sec, obj=15.6]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: 5
INFO - 08:41:05: Message: NLOPT_MAXEVAL_REACHED: Optimization stopped because maxeval (above) was reached
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 151
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 15.642904546075751
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.323921352239278
INFO - 08:41:05: cstr2 = -52.976118905633655
INFO - 08:41:05: cstr3 = 7.918085636049454e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.203310700523008 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.203317410168497 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.084836) ***
INFO - 08:41:05: ... 40%|████ | 20/50 [00:01<00:02, 14.73 it/sec, obj=38.8]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.203310700523008 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.203317410168497 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 879.31 it/sec, obj=15.6]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 191.26 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 206.90 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 269.45 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 203.82 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 204.69 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 205.78 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 206.85 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 226.28 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 15.010740057807617
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.385161018109931
INFO - 08:41:05: cstr2 = -52.91487417972193
INFO - 08:41:05: cstr3 = 6.767595998269371e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.260404026102934 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.260409892408245 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051819) ***
INFO - 08:41:05: ... 42%|████▏ | 21/50 [00:01<00:01, 14.87 it/sec, obj=40.9]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.260404026102934 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.260409892408245 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 918.19 it/sec, obj=15]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 184.62 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 201.77 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 263.23 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 203.68 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 204.61 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 205.98 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 206.41 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 225.92 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 14.40671436156971
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.432330566830654
INFO - 08:41:05: cstr2 = -52.867700404654286
INFO - 08:41:05: cstr3 = 5.828223912374142e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.316090345245806 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.316095507159964 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051866) ***
INFO - 08:41:05: ... 44%|████▍ | 22/50 [00:01<00:01, 14.99 it/sec, obj=42.9]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.316090345245806 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.316095507159964 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 905.90 it/sec, obj=14.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 192.21 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 207.43 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 270.07 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 206.67 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 207.34 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 208.32 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 159.28 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 175.33 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 58
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 13.828844363467137
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.46642168992727
INFO - 08:41:05: cstr2 = -52.83360572231145
INFO - 08:41:05: cstr3 = 5.053965359991253e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.370468825954106 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.370473394660559 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.063340) ***
INFO - 08:41:05: ... 46%|████▌ | 23/50 [00:01<00:01, 14.99 it/sec, obj=45]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.370468825954106 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.370473394660559 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 727.17 it/sec, obj=13.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 184.39 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 196.71 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 256.74 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 197.30 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 197.58 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 199.91 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 200.20 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 219.26 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 13.27536950292725
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.48831477873483
INFO - 08:41:05: cstr2 = -52.811709613282154
INFO - 08:41:05: cstr3 = 4.4102718916860795e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.423627506497627 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.423631571833792 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.053541) ***
INFO - 08:41:05: ... 48%|████▊ | 24/50 [00:01<00:01, 15.09 it/sec, obj=47]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.423627506497627 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.423631571833792 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 914.39 it/sec, obj=13.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 189.30 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 205.09 it/sec, obj=12.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 267.46 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 205.09 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 205.76 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 207.08 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 207.84 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 227.31 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 12.744718286984694
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.498795665972281
INFO - 08:41:05: cstr2 = -52.801226145304284
INFO - 08:41:05: cstr3 = 3.870874571987315e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.475644969491541 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.475648604704302 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051762) ***
INFO - 08:41:05: ... 50%|█████ | 25/50 [00:01<00:01, 15.19 it/sec, obj=49]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.475644969491541 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.475648604704302 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 882.08 it/sec, obj=12.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 188.83 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 204.36 it/sec, obj=12.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 266.45 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 204.96 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 205.79 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 207.15 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 156.59 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 171.54 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 58
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 12.235481029876208
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.49856926217808
INFO - 08:41:05: cstr2 = -52.80145032968164
INFO - 08:41:05: cstr3 = 3.4155702692828527e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.526591705484616 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.526594970794571 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.064646) ***
INFO - 08:41:05: ... 52%|█████▏ | 26/50 [00:01<00:01, 15.18 it/sec, obj=51.1]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.526591705484616 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.526594970794571 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 698.24 it/sec, obj=12.2]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 180.40 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 194.63 it/sec, obj=11.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 254.08 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 196.80 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 198.17 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 198.66 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 200.56 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 219.51 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 11.746387447065569
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.488270763209497
INFO - 08:41:05: cstr2 = -52.81174690860545
INFO - 08:41:05: cstr3 = 3.0286559535852575e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.576531233670002 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.576534178972493 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.053454) ***
INFO - 08:41:05: ... 54%|█████▍ | 27/50 [00:01<00:01, 15.26 it/sec, obj=53.1]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.576531233670002 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.576534178972493 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 889.19 it/sec, obj=11.7]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 184.86 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 201.37 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 262.42 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 202.84 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 204.28 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 205.75 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 201.58 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 220.64 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 11.276288087191698
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.46847493757269
INFO - 08:41:05: cstr2 = -52.83154106402759
INFO - 08:41:05: cstr3 = 2.697806259277513e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.625521030590181 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.625523697523561 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.052903) ***
INFO - 08:41:05: ... 56%|█████▌ | 28/50 [00:01<00:01, 15.34 it/sec, obj=55.1]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.625521030590181 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.625523697523561 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 885.25 it/sec, obj=11.3]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 192.16 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 207.32 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 270.30 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 206.64 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 206.79 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 207.83 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 208.58 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 228.18 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 10.824138827797562
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.439703881005212
INFO - 08:41:05: cstr2 = -52.86031066026405
INFO - 08:41:05: cstr3 = 2.413258648914507e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.673613305574845 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.673615729119723 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051272) ***
INFO - 08:41:05: ... 58%|█████▊ | 29/50 [00:01<00:01, 15.43 it/sec, obj=57.2]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.673613305574845 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.673615729119723 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 824.35 it/sec, obj=10.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 184.56 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 201.51 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 262.89 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 203.49 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 204.49 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 205.83 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 206.71 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 226.29 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 10.388987838736117
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.402433536604322
INFO - 08:41:05: cstr2 = -52.89757972175886
INFO - 08:41:05: cstr3 = 2.1672147170193057e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.720855652738759 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.720857862465956 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.052095) ***
INFO - 08:41:05: ... 60%|██████ | 30/50 [00:01<00:01, 15.51 it/sec, obj=59.2]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.720855652738759 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.720857862465956 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 921.42 it/sec, obj=10.4]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 187.62 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 203.98 it/sec, obj=9.98]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 266.03 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 204.78 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 205.94 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 207.10 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 208.01 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 227.46 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 9.969964549551625
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.357099212520435
INFO - 08:41:05: cstr2 = -52.94291291379632
INFO - 08:41:05: cstr3 = 1.9533958521833483e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.767291602740001 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.767293623792794 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051784) ***
INFO - 08:41:05: ... 62%|██████▏ | 31/50 [00:01<00:01, 15.58 it/sec, obj=61.3]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.767291602740001 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.767293623792794 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 886.00 it/sec, obj=9.97]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 189.18 it/sec, obj=9.56]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 204.96 it/sec, obj=9.58]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 267.29 it/sec, obj=9.56]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 204.51 it/sec, obj=9.57]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 205.28 it/sec, obj=9.57]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 206.65 it/sec, obj=9.57]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 192.31 it/sec, obj=9.57]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 210.93 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 22
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 9.566270256721957
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.304100279392163
INFO - 08:41:05: cstr2 = -52.995910843848655
INFO - 08:41:05: cstr3 = 1.7667094738271771e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.812961092515117 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.812962946388588 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.054389) ***
INFO - 08:41:05: ... 64%|██████▍ | 32/50 [00:02<00:01, 15.63 it/sec, obj=63.3]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.812961092515117 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.812962946388588 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 922.43 it/sec, obj=9.57]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 186.97 it/sec, obj=9.17]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 203.45 it/sec, obj=9.19]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 265.35 it/sec, obj=9.17]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 199.01 it/sec, obj=9.18]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 200.75 it/sec, obj=9.18]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 202.43 it/sec, obj=9.18]
INFO - 08:41:05:
ERROR - 08:41:05: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 207.04 it/sec, obj=9.18]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 10
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 9.177170082342574
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.243804191817159
INFO - 08:41:05: cstr2 = -53.05620603916764
INFO - 08:41:05: cstr3 = 1.6029965053121487e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.857900867419894 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.857902572584027 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.050520) ***
INFO - 08:41:05: ... 66%|██████▌ | 33/50 [00:02<00:01, 15.71 it/sec, obj=65.3]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.857900867419894 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.857902572584027 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 904.92 it/sec, obj=9.18]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 186.18 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 198.54 it/sec, obj=8.81]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 259.06 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 199.17 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 201.13 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 202.78 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 205.93 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 229.73 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 11
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 8.801986053932161
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.176549949080384
INFO - 08:41:05: cstr2 = -53.12345948532793
INFO - 08:41:05: cstr3 = 1.4588381560542985e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.902144827297359 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.902146399698745 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051931) ***
INFO - 08:41:05: ... 68%|██████▊ | 34/50 [00:02<00:01, 15.77 it/sec, obj=67.4]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.902144827297359 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.902146399698745 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 919.60 it/sec, obj=8.8]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 190.42 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 206.03 it/sec, obj=8.45]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 268.64 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 202.64 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 201.48 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 203.05 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 205.19 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 9%|▉ | 9/100 [00:00<00:00, 228.73 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 11
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 8.440091120039419
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.102651087844379
INFO - 08:41:05: cstr2 = -53.19735763296684
INFO - 08:41:05: cstr3 = 1.331406977556071e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.945724325743082 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.94572577921162 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.051956) ***
INFO - 08:41:05: ... 70%|███████ | 35/50 [00:02<00:00, 15.83 it/sec, obj=69.4]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.945724325743082 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.94572577921162 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 918.19 it/sec, obj=8.44]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 187.67 it/sec, obj=8.09]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 202.75 it/sec, obj=8.13]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 264.47 it/sec, obj=8.09]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 203.89 it/sec, obj=8.09]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 204.93 it/sec, obj=8.09]
INFO - 08:41:05:
INFO - 08:41:05: ... 7%|▋ | 7/100 [00:00<00:00, 206.72 it/sec, obj=8.09]
INFO - 08:41:05:
INFO - 08:41:05: ... 8%|▊ | 8/100 [00:00<00:00, 229.17 it/sec, obj=Not evaluated]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 9
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 8.090870387303882
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.023044146782937
INFO - 08:41:05: cstr2 = -53.2761790966897
INFO - 08:41:05: cstr3 = 0.00020079622720459156
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.988738006012545 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.988608546591318 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.047323) ***
INFO - 08:41:05: ... 72%|███████▏ | 36/50 [00:02<00:00, 15.92 it/sec, obj=71.5]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 2.988738006012545 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 2.988608546591318 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 826.30 it/sec, obj=8.09]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 183.28 it/sec, obj=7.75]
INFO - 08:41:05:
INFO - 08:41:05: ... 3%|▎ | 3/100 [00:00<00:00, 192.32 it/sec, obj=7.76]
INFO - 08:41:05:
INFO - 08:41:05: ... 4%|▍ | 4/100 [00:00<00:00, 193.38 it/sec, obj=7.76]
INFO - 08:41:05:
INFO - 08:41:05: ... 5%|▌ | 5/100 [00:00<00:00, 201.17 it/sec, obj=7.76]
INFO - 08:41:05:
INFO - 08:41:05: ... 6%|▌ | 6/100 [00:00<00:00, 238.25 it/sec, obj=7.76]
INFO - 08:41:05:
INFO - 08:41:05:
INFO - 08:41:05: Optimization result:
INFO - 08:41:05: Optimizer info:
INFO - 08:41:05: Status: None
INFO - 08:41:05: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:05: Number of calls to the objective function by the optimizer: 7
INFO - 08:41:05: Solution:
INFO - 08:41:05: The solution is feasible.
INFO - 08:41:05: Objective: 7.757023645324856
INFO - 08:41:05: Standardized constraints:
INFO - 08:41:05: cstr1 = -12.242976354675143
INFO - 08:41:05: cstr2 = -52.68684957831693
INFO - 08:41:05: cstr3 = 3.3273386748078337e-06
INFO - 08:41:05: Design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 3.061695677834655 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: *** End MDOScenario execution (time: 0:00:00.037926) ***
INFO - 08:41:05: ... 74%|███████▍ | 37/50 [00:02<00:00, 16.07 it/sec, obj=73.5]
INFO - 08:41:05:
INFO - 08:41:05: *** Start MDOScenario execution ***
INFO - 08:41:05: MDOScenario
INFO - 08:41:05: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:05: MDO formulation: DisciplinaryOpt
INFO - 08:41:05: Optimization problem:
INFO - 08:41:05: minimize obj2(x1, x2)
INFO - 08:41:05: with respect to x1, x2
INFO - 08:41:05: subject to constraints:
INFO - 08:41:05: cstr1(x1, x2) <= 0.0
INFO - 08:41:05: cstr2(x1, x2) <= 0.0
INFO - 08:41:05: cstr3(x1, x2) == 0.0
INFO - 08:41:05: over the design space:
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: | x1 | 0 | 3.061695677834655 | 5 | float |
INFO - 08:41:05: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:05: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:05: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:05: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:05:
INFO - 08:41:05: ... 1%| | 1/100 [00:00<00:00, 792.28 it/sec, obj=7.76]
INFO - 08:41:05:
INFO - 08:41:05: ... 2%|▏ | 2/100 [00:00<00:00, 185.43 it/sec, obj=7.44]
INFO - 08:41:05:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 192.04 it/sec, obj=7.45]
INFO - 08:41:06:
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 195.22 it/sec, obj=7.45]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 5%|▌ | 5/100 [00:00<00:00, 204.67 it/sec, obj=7.45]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 6
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 7.445362573568088
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -12.55463742643191
INFO - 08:41:06: cstr2 = -51.88237530806971
INFO - 08:41:06: cstr3 = 4.853377205904508e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.143831210916396 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.036273) ***
INFO - 08:41:06: ... 76%|███████▌ | 38/50 [00:02<00:00, 16.23 it/sec, obj=75.5]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.143831210916396 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 824.03 it/sec, obj=7.45]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 185.24 it/sec, obj=7.15]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 195.59 it/sec, obj=7.15]
INFO - 08:41:06:
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 196.83 it/sec, obj=7.15]
INFO - 08:41:06:
INFO - 08:41:06: ... 5%|▌ | 5/100 [00:00<00:00, 201.79 it/sec, obj=7.15]
INFO - 08:41:06:
INFO - 08:41:06: ... 6%|▌ | 6/100 [00:00<00:00, 238.97 it/sec, obj=7.15]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 7
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 7.154620914031879
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -12.84537908596812
INFO - 08:41:06: cstr2 = -51.111372431504165
INFO - 08:41:06: cstr3 = 4.151890550474491e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.223874747087953 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.037418) ***
INFO - 08:41:06: ... 78%|███████▊ | 39/50 [00:02<00:00, 16.37 it/sec, obj=77.6]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.223874747087953 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 802.43 it/sec, obj=7.15]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 189.75 it/sec, obj=6.88]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 199.33 it/sec, obj=6.88]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 212.50 it/sec, obj=6.88]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 6.883276960536007
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -13.116723039463992
INFO - 08:41:06: cstr2 = -50.37140586526117
INFO - 08:41:06: cstr3 = 3.579350433824402e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.301978515879139 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.030519) ***
INFO - 08:41:06: ... 80%|████████ | 40/50 [00:02<00:00, 16.56 it/sec, obj=79.6]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.301978515879139 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 833.03 it/sec, obj=6.88]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 190.14 it/sec, obj=6.63]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 199.69 it/sec, obj=6.63]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 213.52 it/sec, obj=6.63]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 6.629985301431095
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -13.370014698568903
INFO - 08:41:06: cstr2 = -49.660322954951624
INFO - 08:41:06: cstr3 = 3.107424234372047e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.378277057746577 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.030507) ***
INFO - 08:41:06: ... 82%|████████▏ | 41/50 [00:02<00:00, 16.74 it/sec, obj=81.7]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.378277057746577 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 912.00 it/sec, obj=6.63]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 191.94 it/sec, obj=6.39]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 200.59 it/sec, obj=6.39]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 212.72 it/sec, obj=6.39]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 6.393549214890564
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -13.606450785109434
INFO - 08:41:06: cstr2 = -48.97620894882783
INFO - 08:41:06: cstr3 = 2.7149464330022965e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.452890044343788 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.030490) ***
INFO - 08:41:06: ... 84%|████████▍ | 42/50 [00:02<00:00, 16.92 it/sec, obj=83.7]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.452890044343788 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 885.43 it/sec, obj=6.39]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 191.64 it/sec, obj=6.17]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 200.46 it/sec, obj=6.17]
INFO - 08:41:06:
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 202.88 it/sec, obj=6.17]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 5%|▌ | 5/100 [00:00<00:00, 214.27 it/sec, obj=6.17]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 6
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 6.172898632413595
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -13.827101367586403
INFO - 08:41:06: cstr2 = -48.317351739694416
INFO - 08:41:06: cstr3 = 2.3858774227392132e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.525924482119862 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.035038) ***
INFO - 08:41:06: ... 86%|████████▌ | 43/50 [00:02<00:00, 17.06 it/sec, obj=85.7]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.525924482119862 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 795.28 it/sec, obj=6.17]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 188.93 it/sec, obj=5.97]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 198.76 it/sec, obj=5.97]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 212.91 it/sec, obj=5.97]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 5.967072131553423
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -14.032927868446574
INFO - 08:41:06: cstr2 = -47.682213053482386
INFO - 08:41:06: cstr3 = 2.107911811322083e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.59747651301184 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.031843) ***
INFO - 08:41:06: ... 88%|████████▊ | 44/50 [00:02<00:00, 17.22 it/sec, obj=87.8]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.59747651301184 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 831.54 it/sec, obj=5.97]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 185.90 it/sec, obj=5.77]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 196.19 it/sec, obj=5.78]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 210.71 it/sec, obj=5.78]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 5.775202092447151
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -14.224797907552846
INFO - 08:41:06: cstr2 = -47.06940469984319
INFO - 08:41:06: cstr3 = 1.8715021212756255e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.667632898767327 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.031164) ***
INFO - 08:41:06: ... 90%|█████████ | 45/50 [00:02<00:00, 17.38 it/sec, obj=89.8]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.667632898767327 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 829.24 it/sec, obj=5.78]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 181.93 it/sec, obj=5.59]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 189.21 it/sec, obj=5.6]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 202.47 it/sec, obj=5.6]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 5.5965023641763265
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -14.403497635823681
INFO - 08:41:06: cstr2 = -46.47766883842998
INFO - 08:41:06: cstr3 = 1.6691638791144214e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.736472254291057 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.031527) ***
INFO - 08:41:06: ... 92%|█████████▏| 46/50 [00:02<00:00, 17.53 it/sec, obj=91.8]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.736472254291057 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 899.87 it/sec, obj=5.6]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 187.93 it/sec, obj=5.43]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 197.78 it/sec, obj=5.43]
INFO - 08:41:06:
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 200.44 it/sec, obj=5.43]
INFO - 08:41:06:
INFO - 08:41:06: ... 5%|▌ | 5/100 [00:00<00:00, 238.61 it/sec, obj=Not evaluated]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 5.430257940980228
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -14.569742059019779
INFO - 08:41:06: cstr2 = -45.90586146091414
INFO - 08:41:06: cstr3 = 1.4949736311109518e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.804066080011013 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.033360) ***
INFO - 08:41:06: ... 94%|█████████▍| 47/50 [00:02<00:00, 17.67 it/sec, obj=93.9]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.804066080011013 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 2.999999999999999 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 901.81 it/sec, obj=5.43]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 186.41 it/sec, obj=5.27]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 196.57 it/sec, obj=5.28]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 211.06 it/sec, obj=5.28]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 5.2758162619540165
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -14.724183738046001
INFO - 08:41:06: cstr2 = -45.352938470557305
INFO - 08:41:06: cstr3 = 1.344202033237707e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.870479631899447 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 2.999999999999998 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.030755) ***
INFO - 08:41:06: ... 96%|█████████▌| 48/50 [00:02<00:00, 17.82 it/sec, obj=95.9]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.870479631899447 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 2.999999999999998 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 881.90 it/sec, obj=5.28]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 186.55 it/sec, obj=5.13]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 196.51 it/sec, obj=5.13]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 209.83 it/sec, obj=5.13]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 5.132579832689039
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -14.867420167310959
INFO - 08:41:06: cstr2 = -44.81794387687677
INFO - 08:41:06: cstr3 = 1.213042054359903e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.935772659302045 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.031027) ***
INFO - 08:41:06: ... 98%|█████████▊| 49/50 [00:02<00:00, 17.96 it/sec, obj=98]
INFO - 08:41:06:
INFO - 08:41:06: *** Start MDOScenario execution ***
INFO - 08:41:06: MDOScenario
INFO - 08:41:06: Disciplines: AnalyticDiscipline AnalyticDiscipline
INFO - 08:41:06: MDO formulation: DisciplinaryOpt
INFO - 08:41:06: Optimization problem:
INFO - 08:41:06: minimize obj2(x1, x2)
INFO - 08:41:06: with respect to x1, x2
INFO - 08:41:06: subject to constraints:
INFO - 08:41:06: cstr1(x1, x2) <= 0.0
INFO - 08:41:06: cstr2(x1, x2) <= 0.0
INFO - 08:41:06: cstr3(x1, x2) == 0.0
INFO - 08:41:06: over the design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 3.935772659302045 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: Solving optimization problem with algorithm NLOPT_SLSQP:
INFO - 08:41:06: ... 0%| | 0/100 [00:00<?, ?it]
INFO - 08:41:06:
INFO - 08:41:06: ... 1%| | 1/100 [00:00<00:00, 822.90 it/sec, obj=5.13]
INFO - 08:41:06:
INFO - 08:41:06: ... 2%|▏ | 2/100 [00:00<00:00, 184.26 it/sec, obj=5]
INFO - 08:41:06:
INFO - 08:41:06: ... 3%|▎ | 3/100 [00:00<00:00, 195.30 it/sec, obj=5]
INFO - 08:41:06:
ERROR - 08:41:06: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
INFO - 08:41:06: ... 4%|▍ | 4/100 [00:00<00:00, 210.08 it/sec, obj=5]
INFO - 08:41:06:
INFO - 08:41:06:
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: GEMSEO Stopped the driver
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 5
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 4.9999999313496275
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr1 = -15.00000006865037
INFO - 08:41:06: cstr2 = -44.299999725398514
INFO - 08:41:06: cstr3 = 1.0984059315433115e-06
INFO - 08:41:06: Design space:
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: | x1 | 0 | 4.000000034325185 | 5 | float |
INFO - 08:41:06: | x2 | -5 | 3 | 3 | float |
INFO - 08:41:06: +------+-------------+-------------------+-------------+-------+
INFO - 08:41:06: *** End MDOScenario execution (time: 0:00:00.030892) ***
INFO - 08:41:06: ... 100%|██████████| 50/50 [00:02<00:00, 18.10 it/sec, obj=100]
INFO - 08:41:06: Optimization result:
INFO - 08:41:06: Optimizer info:
INFO - 08:41:06: Status: None
INFO - 08:41:06: Message: None
INFO - 08:41:06: Number of calls to the objective function by the optimizer: 50
INFO - 08:41:06: Solution:
INFO - 08:41:06: The solution is feasible.
INFO - 08:41:06: Objective: 0.10832777706440924
INFO - 08:41:06: Standardized constraints:
INFO - 08:41:06: cstr3 = 0.008327777064409236
INFO - 08:41:06: Design space:
INFO - 08:41:06: +-------------+-------------+-------+-------------+-------+
INFO - 08:41:06: | name | lower_bound | value | upper_bound | type |
INFO - 08:41:06: +-------------+-------------+-------+-------------+-------+
INFO - 08:41:06: | obj1_target | 0.1 | 0.1 | 100 | float |
INFO - 08:41:06: +-------------+-------------+-------+-------------+-------+
INFO - 08:41:06: *** End DOEScenario execution (time: 0:00:02.774211) ***
/home/docs/checkouts/readthedocs.org/user_builds/gemseo/envs/5.0.1/lib/python3.9/site-packages/genson/schema/strategies/base.py:42: UserWarning: Schema incompatible. Keyword 'description' has conflicting values ('The width and height of the figure in inches, e.g. ``(w, h)``.\nIf ``None``, use the :attr:`.OptPostProcessor.DEFAULT_FIG_SIZE`\nof the post-processor.' vs. 'The width and height of the figure in inches, e.g. `(w, h)`.\nIf ``None``, use the :attr:`.OptPostProcessor.DEFAULT_FIG_SIZE`\nof the post-processor.'). Using 'The width and height of the figure in inches, e.g. ``(w, h)``.\nIf ``None``, use the :attr:`.OptPostProcessor.DEFAULT_FIG_SIZE`\nof the post-processor.'
warn(('Schema incompatible. Keyword {0!r} has conflicting '
<gemseo.post.pareto_front.ParetoFront object at 0x7f876b32ac70>
Total running time of the script: ( 0 minutes 3.062 seconds)