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
)
Pareto front
    INFO - 08:27:47:
    INFO - 08:27:47: *** Start DOEScenario execution ***
    INFO - 08:27:47: DOEScenario
    INFO - 08:27:47:    Disciplines: MDOScenario_adapter
    INFO - 08:27:47:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:47: Optimization problem:
    INFO - 08:27:47:    minimize obj1(obj1_target)
    INFO - 08:27:47:    with respect to obj1_target
    INFO - 08:27:47:    subject to constraints:
    INFO - 08:27:47:       cstr3(obj1_target) == 0.0
    INFO - 08:27:47:    over the design space:
    INFO - 08:27:47:    +-------------+-------------+-------+-------------+-------+
    INFO - 08:27:47:    | name        | lower_bound | value | upper_bound | type  |
    INFO - 08:27:47:    +-------------+-------------+-------+-------------+-------+
    INFO - 08:27:47:    | obj1_target |     0.1     |   1   |     100     | float |
    INFO - 08:27:47:    +-------------+-------------+-------+-------------+-------+
    INFO - 08:27:47: Solving optimization problem with algorithm fullfact:
    INFO - 08:27:47: ...   0%|          | 0/50 [00:00<?, ?it]
    INFO - 08:27:47:
    INFO - 08:27:47: *** Start MDOScenario execution ***
    INFO - 08:27:47: MDOScenario
    INFO - 08:27:47:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:47:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:47: Optimization problem:
    INFO - 08:27:47:    minimize obj2(x1, x2)
    INFO - 08:27:47:    with respect to x1, x2
    INFO - 08:27:47:    subject to constraints:
    INFO - 08:27:47:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:47:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:47:       cstr3(x1, x2) == 0.0
    INFO - 08:27:47:    over the design space:
    INFO - 08:27:47:    +------+-------------+-------+-------------+-------+
    INFO - 08:27:47:    | name | lower_bound | value | upper_bound | type  |
    INFO - 08:27:47:    +------+-------------+-------+-------------+-------+
    INFO - 08:27:47:    | x1   |      0      |   2   |      5      | float |
    INFO - 08:27:47:    | x2   |      -5     |   2   |      3      | float |
    INFO - 08:27:47:    +------+-------------+-------+-------------+-------+
    INFO - 08:27:47: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:47: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   1%|          | 1/100 [00:00<00:01, 89.56 it/sec, obj=18]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   2%|▏         | 2/100 [00:00<00:01, 95.90 it/sec, obj=32.3]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   3%|▎         | 3/100 [00:00<00:00, 141.60 it/sec, obj=19.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   4%|▍         | 4/100 [00:00<00:00, 168.49 it/sec, obj=18.1]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   5%|▌         | 5/100 [00:00<00:00, 189.95 it/sec, obj=18]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   6%|▌         | 6/100 [00:00<00:00, 169.55 it/sec, obj=34]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   7%|▋         | 7/100 [00:00<00:00, 196.02 it/sec, obj=20.5]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   8%|▊         | 8/100 [00:00<00:00, 178.44 it/sec, obj=33.3]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   9%|▉         | 9/100 [00:00<00:00, 199.30 it/sec, obj=22]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  10%|█         | 10/100 [00:00<00:00, 182.18 it/sec, obj=34.5]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  11%|█         | 11/100 [00:00<00:00, 186.77 it/sec, obj=41.7]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  12%|█▏        | 12/100 [00:00<00:00, 202.64 it/sec, obj=38.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  13%|█▎        | 13/100 [00:00<00:00, 188.73 it/sec, obj=43.7]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  14%|█▍        | 14/100 [00:00<00:00, 192.13 it/sec, obj=44.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  15%|█▌        | 15/100 [00:00<00:00, 204.94 it/sec, obj=43.9]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  16%|█▌        | 16/100 [00:00<00:00, 194.48 it/sec, obj=46.5]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  17%|█▋        | 17/100 [00:00<00:00, 205.83 it/sec, obj=45.3]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  18%|█▊        | 18/100 [00:00<00:00, 195.13 it/sec, obj=47.1]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  19%|█▉        | 19/100 [00:00<00:00, 196.12 it/sec, obj=47.7]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  20%|██        | 20/100 [00:00<00:00, 197.77 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  21%|██        | 21/100 [00:00<00:00, 206.99 it/sec, obj=47.7]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  22%|██▏       | 22/100 [00:00<00:00, 197.09 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  23%|██▎       | 23/100 [00:00<00:00, 197.49 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  24%|██▍       | 24/100 [00:00<00:00, 198.01 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  25%|██▌       | 25/100 [00:00<00:00, 198.48 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  26%|██▌       | 26/100 [00:00<00:00, 199.84 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  27%|██▋       | 27/100 [00:00<00:00, 206.97 it/sec, obj=47.8]
    INFO - 08:27:47:
    INFO - 08:27:47:
    INFO - 08:27:47: Optimization result:
    INFO - 08:27:47:    Optimizer info:
    INFO - 08:27:47:       Status: None
    INFO - 08:27:47:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:47:       Number of calls to the objective function by the optimizer: 35
    INFO - 08:27:47:    Solution:
    INFO - 08:27:47:       The solution is feasible.
    INFO - 08:27:47:       Objective: 47.703727654876516
    INFO - 08:27:47:       Standardized constraints:
    INFO - 08:27:47:          cstr1 = -1.0667466573428754
    INFO - 08:27:47:          cstr2 = -64.31467159436009
    INFO - 08:27:47:          cstr3 = 0.008327777064409236
    INFO - 08:27:47:       Design space:
    INFO - 08:27:47:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:       | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:47:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:       | x1   |      0      | 0.1093828601608978 |      5      | float |
    INFO - 08:27:47:       | x2   |      -5     | 0.1229525687780608 |      3      | float |
    INFO - 08:27:47:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47: *** End MDOScenario execution (time: 0:00:00.145981) ***
    INFO - 08:27:47: ...   2%|▏         | 1/50 [00:00<00:07,  6.49 it/sec, obj=0.108]
    INFO - 08:27:47:
    INFO - 08:27:47: *** Start MDOScenario execution ***
    INFO - 08:27:47: MDOScenario
    INFO - 08:27:47:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:47:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:47: Optimization problem:
    INFO - 08:27:47:    minimize obj2(x1, x2)
    INFO - 08:27:47:    with respect to x1, x2
    INFO - 08:27:47:    subject to constraints:
    INFO - 08:27:47:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:47:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:47:       cstr3(x1, x2) == 0.0
    INFO - 08:27:47:    over the design space:
    INFO - 08:27:47:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:    | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:47:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:    | x1   |      0      | 0.1093828601608978 |      5      | float |
    INFO - 08:27:47:    | x2   |      -5     | 0.1229525687780608 |      3      | float |
    INFO - 08:27:47:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:47: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   1%|          | 1/100 [00:00<00:00, 745.92 it/sec, obj=47.7]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   2%|▏         | 2/100 [00:00<00:00, 192.26 it/sec, obj=38]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   3%|▎         | 3/100 [00:00<00:00, 278.73 it/sec, obj=45.4]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   4%|▍         | 4/100 [00:00<00:00, 201.57 it/sec, obj=26]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   5%|▌         | 5/100 [00:00<00:00, 247.90 it/sec, obj=43.1]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   6%|▌         | 6/100 [00:00<00:00, 200.65 it/sec, obj=40.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   7%|▋         | 7/100 [00:00<00:00, 206.33 it/sec, obj=35.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   8%|▊         | 8/100 [00:00<00:00, 233.59 it/sec, obj=39.8]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   9%|▉         | 9/100 [00:00<00:00, 204.87 it/sec, obj=40]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  10%|█         | 10/100 [00:00<00:00, 205.36 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  11%|█         | 11/100 [00:00<00:00, 205.30 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  12%|█▏        | 12/100 [00:00<00:00, 205.60 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  13%|█▎        | 13/100 [00:00<00:00, 205.71 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  14%|█▍        | 14/100 [00:00<00:00, 207.83 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...  15%|█▌        | 15/100 [00:00<00:00, 221.61 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47:
    INFO - 08:27:47: Optimization result:
    INFO - 08:27:47:    Optimizer info:
    INFO - 08:27:47:       Status: None
    INFO - 08:27:47:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:47:       Number of calls to the objective function by the optimizer: 19
    INFO - 08:27:47:    Solution:
    INFO - 08:27:47:       The solution is feasible.
    INFO - 08:27:47:       Objective: 40.19103454891671
    INFO - 08:27:47:       Standardized constraints:
    INFO - 08:27:47:          cstr1 = -4.635553160505001
    INFO - 08:27:47:          cstr2 = -60.66617024950777
    INFO - 08:27:47:          cstr3 = 0.0011716100039924626
    INFO - 08:27:47:       Design space:
    INFO - 08:27:47:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:       | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:47:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:       | x1   |      0      | 0.5170539940557017 |      5      | float |
    INFO - 08:27:47:       | x2   |      -5     | 0.5173412290578288 |      3      | float |
    INFO - 08:27:47:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47: *** End MDOScenario execution (time: 0:00:00.082677) ***
    INFO - 08:27:47: ...   4%|▍         | 2/50 [00:00<00:05,  8.34 it/sec, obj=2.14]
    INFO - 08:27:47:
    INFO - 08:27:47: *** Start MDOScenario execution ***
    INFO - 08:27:47: MDOScenario
    INFO - 08:27:47:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:47:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:47: Optimization problem:
    INFO - 08:27:47:    minimize obj2(x1, x2)
    INFO - 08:27:47:    with respect to x1, x2
    INFO - 08:27:47:    subject to constraints:
    INFO - 08:27:47:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:47:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:47:       cstr3(x1, x2) == 0.0
    INFO - 08:27:47:    over the design space:
    INFO - 08:27:47:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:    | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:47:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47:    | x1   |      0      | 0.5170539940557017 |      5      | float |
    INFO - 08:27:47:    | x2   |      -5     | 0.5173412290578288 |      3      | float |
    INFO - 08:27:47:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:47: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:47: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   1%|          | 1/100 [00:00<00:00, 728.05 it/sec, obj=40.2]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   2%|▏         | 2/100 [00:00<00:00, 180.57 it/sec, obj=35.9]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   3%|▎         | 3/100 [00:00<00:00, 199.18 it/sec, obj=50.4]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   4%|▍         | 4/100 [00:00<00:00, 260.02 it/sec, obj=36.1]
    INFO - 08:27:47:
    INFO - 08:27:47: ...   5%|▌         | 5/100 [00:00<00:00, 274.03 it/sec, obj=35.9]
    INFO - 08:27:47:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 288.16 it/sec, obj=35.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 218.96 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 218.43 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 217.01 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 216.36 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  11%|█         | 11/100 [00:00<00:00, 218.45 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  12%|█▏        | 12/100 [00:00<00:00, 236.76 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 14
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 36.59177704909952
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -6.181927091281441
    INFO - 08:27:48:          cstr2 = -59.1180600956955
    INFO - 08:27:48:          cstr3 = 9.47309592103096e-06
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 0.7226317214657462 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 0.7226295859619043 |      3      | float |
    INFO - 08:27:48:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.065298) ***
    INFO - 08:27:48: ...   6%|▌         | 3/50 [00:00<00:04,  9.74 it/sec, obj=4.18]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 0.7226317214657462 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 0.7226295859619043 |      3      | float |
    INFO - 08:27:48:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 829.08 it/sec, obj=36.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 179.49 it/sec, obj=33.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 197.07 it/sec, obj=33.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 257.15 it/sec, obj=33.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 196.57 it/sec, obj=33.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 196.47 it/sec, obj=33.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 197.90 it/sec, obj=33.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 199.05 it/sec, obj=33.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 200.18 it/sec, obj=33.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 216.62 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 11
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 33.919631813422384
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -7.255848461968618
    INFO - 08:27:48:          cstr2 = -58.05233099585455
    INFO - 08:27:48:          cstr3 = 0.0038288011280993572
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 0.8810887294903702 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 0.882451972460899  |      3      | float |
    INFO - 08:27:48:       +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.059862) ***
    INFO - 08:27:48: ...   8%|▊         | 4/50 [00:00<00:04, 10.79 it/sec, obj=6.22]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value        | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 0.8810887294903702 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 0.882451972460899  |      3      | float |
    INFO - 08:27:48:    +------+-------------+--------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 850.94 it/sec, obj=33.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 180.82 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 190.89 it/sec, obj=31]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 196.17 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 199.77 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 200.71 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 200.39 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 201.22 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 201.91 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 218.84 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 31.74205545582052
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -8.126479874112459
    INFO - 08:27:48:          cstr2 = -57.137414252228
    INFO - 08:27:48:          cstr3 = 0.005542967398865173
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.019164112616626 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.013146467006703 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.059445) ***
    INFO - 08:27:48: ...  10%|█         | 5/50 [00:00<00:03, 11.54 it/sec, obj=8.26]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.019164112616626 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.013146467006703 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 869.47 it/sec, obj=31.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 195.28 it/sec, obj=31.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 283.79 it/sec, obj=31.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 197.69 it/sec, obj=29.4]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 199.51 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 204.53 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 235.95 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 200.26 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 200.75 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 201.63 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  11%|█         | 11/100 [00:00<00:00, 204.57 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  12%|█▏        | 12/100 [00:00<00:00, 221.73 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 15
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 29.88109811954699
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -8.904130006507508
    INFO - 08:27:48:          cstr2 = -56.236931646326525
    INFO - 08:27:48:          cstr3 = 0.008278899838032316
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.147966911922212 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     |  1.12147718739455 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.069188) ***
    INFO - 08:27:48: ...  12%|█▏        | 6/50 [00:00<00:03, 11.87 it/sec, obj=10.3]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.147966911922212 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     |  1.12147718739455 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 843.08 it/sec, obj=29.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 192.60 it/sec, obj=29.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 279.97 it/sec, obj=29.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 196.37 it/sec, obj=27.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 200.10 it/sec, obj=28.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 204.08 it/sec, obj=28.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 235.51 it/sec, obj=28.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 245.35 it/sec, obj=28.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 209.66 it/sec, obj=28.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 209.75 it/sec, obj=28.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  11%|█         | 11/100 [00:00<00:00, 209.75 it/sec, obj=28.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  12%|█▏        | 12/100 [00:00<00:00, 209.83 it/sec, obj=28.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  13%|█▎        | 13/100 [00:00<00:00, 222.87 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 15
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 28.24715432188683
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -9.262042373098518
    INFO - 08:27:48:          cstr2 = -56.1244562169954
    INFO - 08:27:48:          cstr3 = 0.005733399147294094
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.234663898819147 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.249080330501465 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.071979) ***
    INFO - 08:27:48: ...  14%|█▍        | 7/50 [00:00<00:03, 12.06 it/sec, obj=12.3]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.234663898819147 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.249080330501465 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 894.69 it/sec, obj=28.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 197.35 it/sec, obj=34.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 286.77 it/sec, obj=28.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 199.21 it/sec, obj=26.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 200.68 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 205.85 it/sec, obj=26.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 237.29 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 247.46 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 211.34 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 211.24 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  11%|█         | 11/100 [00:00<00:00, 211.14 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  12%|█▏        | 12/100 [00:00<00:00, 211.79 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  13%|█▎        | 13/100 [00:00<00:00, 228.12 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 16
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 26.78338139404545
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -9.960291855840104
    INFO - 08:27:48:          cstr2 = -55.16052551821478
    INFO - 08:27:48:          cstr3 = 0.007261845302840797
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.355496446002296 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.325632675011445 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.071302) ***
    INFO - 08:27:48: ...  16%|█▌        | 8/50 [00:00<00:03, 12.22 it/sec, obj=14.4]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.355496446002296 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.325632675011445 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 832.20 it/sec, obj=26.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 196.01 it/sec, obj=27.4]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 284.77 it/sec, obj=26.6]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 196.22 it/sec, obj=25.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 199.51 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 201.96 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 233.06 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 198.30 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 199.43 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 200.52 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  11%|█         | 11/100 [00:00<00:00, 203.73 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  12%|█▏        | 12/100 [00:00<00:00, 220.93 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 15
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 25.456747661016507
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -10.182735612985024
    INFO - 08:27:48:          cstr2 = -55.162076920524946
    INFO - 08:27:48:          cstr3 = 0.0021701470212498464
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      |  1.42858291701485 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.436051672599847 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.068799) ***
    INFO - 08:27:48: ...  18%|█▊        | 9/50 [00:00<00:03, 12.39 it/sec, obj=16.4]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      |  1.42858291701485 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.436051672599847 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 693.16 it/sec, obj=25.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 184.05 it/sec, obj=25.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 268.02 it/sec, obj=25.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 187.32 it/sec, obj=24]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 190.14 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 196.68 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 226.86 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 193.48 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 194.91 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  10%|█         | 10/100 [00:00<00:00, 196.21 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  11%|█         | 11/100 [00:00<00:00, 199.72 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...  12%|█▏        | 12/100 [00:00<00:00, 216.61 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 15
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 24.238961391299995
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -10.581988784945853
    INFO - 08:27:48:          cstr2 = -54.70852336416608
    INFO - 08:27:48:          cstr3 = 0.0025169026502354086
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      |  1.51948629085676 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.517904982375415 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.070213) ***
    INFO - 08:27:48: ...  20%|██        | 10/50 [00:00<00:03, 12.51 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      |  1.51948629085676 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.517904982375415 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 882.45 it/sec, obj=24.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 179.39 it/sec, obj=23.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 190.82 it/sec, obj=22.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 196.84 it/sec, obj=23.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 200.26 it/sec, obj=23.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 201.73 it/sec, obj=23.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 203.02 it/sec, obj=23.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 204.10 it/sec, obj=23.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 223.74 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 9
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 23.11579694920823
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -10.870999209927898
    INFO - 08:27:48:          cstr2 = -54.4411348517972
    INFO - 08:27:48:          cstr3 = 0.00016967686911684154
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.599298040465538 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.601320384086387 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.053690) ***
    INFO - 08:27:48: ...  22%|██▏       | 11/50 [00:00<00:03, 12.85 it/sec, obj=20.5]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.599298040465538 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.601320384086387 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 899.10 it/sec, obj=23.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 186.39 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 195.86 it/sec, obj=21.9]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 198.68 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 202.20 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 202.81 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 204.02 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 206.64 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 226.28 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 9
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 22.070806133873354
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -11.152004241913563
    INFO - 08:27:48:          cstr2 = -54.144115710393905
    INFO - 08:27:48:          cstr3 = 7.790157006937193e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.678365637036731 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.677718962421308 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.053446) ***
    INFO - 08:27:48: ...  24%|██▍       | 12/50 [00:00<00:02, 13.15 it/sec, obj=22.5]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.678365637036731 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.677718962421308 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 846.65 it/sec, obj=22.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 185.04 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 194.48 it/sec, obj=21]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 198.13 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 201.69 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 201.54 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 202.83 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 203.78 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 223.33 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 9
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 21.094680946646342
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -11.382543763227893
    INFO - 08:27:48:          cstr2 = -53.916789711709825
    INFO - 08:27:48:          cstr3 = 6.34855576464588e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.752388616522955 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.752277529012576 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.053992) ***
    INFO - 08:27:48: ...  26%|██▌       | 13/50 [00:00<00:02, 13.41 it/sec, obj=24.6]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.752388616522955 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.752277529012576 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 736.88 it/sec, obj=21.1]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 181.86 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 200.00 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 260.99 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 200.42 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 201.41 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 201.58 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 202.36 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 221.74 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 20.179041747322394
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -11.584857264428393
    INFO - 08:27:48:          cstr2 = -53.715271313888515
    INFO - 08:27:48:          cstr3 = 3.6073850846918276e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.823588669105437 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.823610098824921 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.054529) ***
    INFO - 08:27:48: ...  28%|██▊       | 14/50 [00:01<00:02, 13.63 it/sec, obj=26.6]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.823588669105437 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.823610098824921 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 855.63 it/sec, obj=20.2]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 182.23 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 199.32 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 260.07 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 199.05 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 200.25 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 201.46 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 202.64 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 222.03 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 19.31704274741805
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -11.761045500685725
    INFO - 08:27:48:          cstr2 = -53.53904269398964
    INFO - 08:27:48:          cstr3 = 1.9897482413711032e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 1.892176476077061 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.892191175189622 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.055083) ***
    INFO - 08:27:48: ...  30%|███       | 15/50 [00:01<00:02, 13.82 it/sec, obj=28.6]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 1.892176476077061 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.892191175189622 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 843.25 it/sec, obj=19.3]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 184.67 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 202.21 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 263.88 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 201.50 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 198.25 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 199.79 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 199.59 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 218.73 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 18.50304766834182
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -11.91320794150552
    INFO - 08:27:48:          cstr2 = -53.38686658612579
    INFO - 08:27:48:          cstr3 = 1.6290651892347796e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      |  1.95836201774338 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 1.958374439015266 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.054661) ***
    INFO - 08:27:48: ...  32%|███▏      | 16/50 [00:01<00:02, 14.00 it/sec, obj=30.7]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      |  1.95836201774338 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 1.958374439015266 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 753.56 it/sec, obj=18.5]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 177.20 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 192.06 it/sec, obj=17.8]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 250.83 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 192.23 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 194.26 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 196.14 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 199.35 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 218.43 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 17.732348004038087
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -12.043720783556537
    INFO - 08:27:48:          cstr2 = -53.256342241945774
    INFO - 08:27:48:          cstr3 = 1.3382114616433682e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 2.022382616990152 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 2.022393121240538 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.055270) ***
    INFO - 08:27:48: ...  34%|███▍      | 17/50 [00:01<00:02, 14.16 it/sec, obj=32.7]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:48:    over the design space:
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:    | x1   |      0      | 2.022382616990152 |      5      | float |
    INFO - 08:27:48:    | x2   |      -5     | 2.022393121240538 |      3      | float |
    INFO - 08:27:48:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:48: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   1%|          | 1/100 [00:00<00:00, 834.36 it/sec, obj=17.7]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   2%|▏         | 2/100 [00:00<00:00, 181.61 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   3%|▎         | 3/100 [00:00<00:00, 199.81 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   4%|▍         | 4/100 [00:00<00:00, 260.79 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   5%|▌         | 5/100 [00:00<00:00, 200.09 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   6%|▌         | 6/100 [00:00<00:00, 201.28 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   7%|▋         | 7/100 [00:00<00:00, 202.48 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   8%|▊         | 8/100 [00:00<00:00, 189.68 it/sec, obj=17]
    INFO - 08:27:48:
    INFO - 08:27:48: ...   9%|▉         | 9/100 [00:00<00:00, 208.17 it/sec, obj=Not evaluated]
    INFO - 08:27:48:
    INFO - 08:27:48:
    INFO - 08:27:48: Optimization result:
    INFO - 08:27:48:    Optimizer info:
    INFO - 08:27:48:       Status: None
    INFO - 08:27:48:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:48:       Number of calls to the objective function by the optimizer: 22
    INFO - 08:27:48:    Solution:
    INFO - 08:27:48:       The solution is feasible.
    INFO - 08:27:48:       Objective: 17.000954389919343
    INFO - 08:27:48:       Standardized constraints:
    INFO - 08:27:48:          cstr1 = -12.154578598016688
    INFO - 08:27:48:          cstr2 = -53.14547523083256
    INFO - 08:27:48:          cstr3 = 1.112372472533707e-05
    INFO - 08:27:48:       Design space:
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48:       | x1   |      0      | 2.084437729731522 |      5      | float |
    INFO - 08:27:48:       | x2   |      -5     | 2.084446701206397 |      3      | float |
    INFO - 08:27:48:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:48: *** End MDOScenario execution (time: 0:00:00.056993) ***
    INFO - 08:27:48: ...  36%|███▌      | 18/50 [00:01<00:02, 14.28 it/sec, obj=34.8]
    INFO - 08:27:48:
    INFO - 08:27:48: *** Start MDOScenario execution ***
    INFO - 08:27:48: MDOScenario
    INFO - 08:27:48:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:48:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:48: Optimization problem:
    INFO - 08:27:48:    minimize obj2(x1, x2)
    INFO - 08:27:48:    with respect to x1, x2
    INFO - 08:27:48:    subject to constraints:
    INFO - 08:27:48:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:48:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.084437729731522 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.084446701206397 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 802.74 it/sec, obj=17]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 179.32 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 197.75 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 258.14 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 198.48 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 199.89 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 201.40 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 201.80 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 220.90 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 16.30545494358224
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.247487820159945
    INFO - 08:27:49:          cstr2 = -53.0525585506805
    INFO - 08:27:49:          cstr3 = 9.341781733951393e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.144697995152375 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.144705723625782 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.054686) ***
    INFO - 08:27:49: ...  38%|███▊      | 19/50 [00:01<00:02, 14.41 it/sec, obj=36.8]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.144697995152375 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.144705723625782 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 707.66 it/sec, obj=16.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 179.73 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 198.21 it/sec, obj=15.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 258.73 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 198.61 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 198.89 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 200.32 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 111.45 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: 5
    INFO - 08:27:49:       Message: NLOPT_MAXEVAL_REACHED: Optimization stopped because maxeval (above) was reached
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 151
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 15.642904546075751
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.323921352239278
    INFO - 08:27:49:          cstr2 = -52.976118905633655
    INFO - 08:27:49:          cstr3 = 7.918085636049454e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.203310700523008 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.203317410168497 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.085748) ***
    INFO - 08:27:49: ...  40%|████      | 20/50 [00:01<00:02, 14.21 it/sec, obj=38.8]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.203310700523008 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.203317410168497 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 826.14 it/sec, obj=15.6]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 182.63 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 200.65 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 261.79 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 198.44 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 199.74 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 198.53 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 198.27 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 217.30 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 15.010740057807617
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.385161018109931
    INFO - 08:27:49:          cstr2 = -52.91487417972193
    INFO - 08:27:49:          cstr3 = 6.767595998269371e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.260404026102934 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.260409892408245 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.055148) ***
    INFO - 08:27:49: ...  42%|████▏     | 21/50 [00:01<00:02, 14.33 it/sec, obj=40.9]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.260404026102934 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.260409892408245 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 885.62 it/sec, obj=15]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 180.61 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 194.41 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 253.41 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 194.23 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 193.84 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 195.88 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 197.68 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 216.77 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 14.40671436156971
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.432330566830654
    INFO - 08:27:49:          cstr2 = -52.867700404654286
    INFO - 08:27:49:          cstr3 = 5.828223912374142e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.316090345245806 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.316095507159964 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.056181) ***
    INFO - 08:27:49: ...  44%|████▍     | 22/50 [00:01<00:01, 14.43 it/sec, obj=42.9]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.316090345245806 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.316095507159964 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 834.36 it/sec, obj=14.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 175.11 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 190.33 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 248.52 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 191.92 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 193.88 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 193.79 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 151.27 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 166.71 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 58
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 13.828844363467137
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.46642168992727
    INFO - 08:27:49:          cstr2 = -52.83360572231145
    INFO - 08:27:49:          cstr3 = 5.053965359991253e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.370468825954106 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.370473394660559 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.068131) ***
    INFO - 08:27:49: ...  46%|████▌     | 23/50 [00:01<00:01, 14.41 it/sec, obj=45]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.370468825954106 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.370473394660559 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 837.86 it/sec, obj=13.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 183.01 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 200.51 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 261.54 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 200.16 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 199.31 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 200.52 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 201.35 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 220.63 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 13.27536950292725
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.48831477873483
    INFO - 08:27:49:          cstr2 = -52.811709613282154
    INFO - 08:27:49:          cstr3 = 4.4102718916860795e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.423627506497627 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.423631571833792 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.054963) ***
    INFO - 08:27:49: ...  48%|████▊     | 24/50 [00:01<00:01, 14.51 it/sec, obj=47]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.423627506497627 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.423631571833792 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 848.71 it/sec, obj=13.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 183.19 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 200.78 it/sec, obj=12.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 262.04 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 200.30 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 201.15 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 202.37 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 202.90 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 222.20 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 12.744718286984694
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.498795665972281
    INFO - 08:27:49:          cstr2 = -52.801226145304284
    INFO - 08:27:49:          cstr3 = 3.870874571987315e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.475644969491541 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.475648604704302 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.054225) ***
    INFO - 08:27:49: ...  50%|█████     | 25/50 [00:01<00:01, 14.61 it/sec, obj=49]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.475644969491541 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.475648604704302 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 840.37 it/sec, obj=12.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 183.31 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 200.82 it/sec, obj=12.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 261.99 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 200.04 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 200.82 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 201.91 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 156.68 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 172.48 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 58
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 12.235481029876208
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.49856926217808
    INFO - 08:27:49:          cstr2 = -52.80145032968164
    INFO - 08:27:49:          cstr3 = 3.4155702692828527e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.526591705484616 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.526594970794571 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.066157) ***
    INFO - 08:27:49: ...  52%|█████▏    | 26/50 [00:01<00:01, 14.61 it/sec, obj=51.1]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.526591705484616 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.526594970794571 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 819.20 it/sec, obj=12.2]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 178.55 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 197.08 it/sec, obj=11.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 256.87 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 193.76 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 192.41 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 194.44 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 196.21 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 214.81 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 11.746387447065569
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.488270763209497
    INFO - 08:27:49:          cstr2 = -52.81174690860545
    INFO - 08:27:49:          cstr3 = 3.0286559535852575e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.576531233670002 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.576534178972493 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.055695) ***
    INFO - 08:27:49: ...  54%|█████▍    | 27/50 [00:01<00:01, 14.68 it/sec, obj=53.1]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.576531233670002 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.576534178972493 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 863.03 it/sec, obj=11.7]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 185.56 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 203.11 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 265.02 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 201.89 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 201.23 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 202.34 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 203.35 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 222.91 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 11.276288087191698
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.46847493757269
    INFO - 08:27:49:          cstr2 = -52.83154106402759
    INFO - 08:27:49:          cstr3 = 2.697806259277513e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.625521030590181 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.625523697523561 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.054032) ***
    INFO - 08:27:49: ...  56%|█████▌    | 28/50 [00:01<00:01, 14.77 it/sec, obj=55.1]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.625521030590181 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.625523697523561 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 880.97 it/sec, obj=11.3]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 186.21 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 203.19 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 265.14 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 201.78 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 202.60 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 203.63 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 204.05 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 223.55 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 10.824138827797562
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.439703881005212
    INFO - 08:27:49:          cstr2 = -52.86031066026405
    INFO - 08:27:49:          cstr3 = 2.413258648914507e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.673613305574845 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.673615729119723 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.053716) ***
    INFO - 08:27:49: ...  58%|█████▊    | 29/50 [00:01<00:01, 14.85 it/sec, obj=57.2]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.673613305574845 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.673615729119723 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 848.53 it/sec, obj=10.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 184.16 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 201.44 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 262.90 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 200.44 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 201.06 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 202.40 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 203.34 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 222.77 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 10.388987838736117
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.402433536604322
    INFO - 08:27:49:          cstr2 = -52.89757972175886
    INFO - 08:27:49:          cstr3 = 2.1672147170193057e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.720855652738759 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.720857862465956 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.053984) ***
    INFO - 08:27:49: ...  60%|██████    | 30/50 [00:02<00:01, 14.93 it/sec, obj=59.2]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.720855652738759 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.720857862465956 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 831.87 it/sec, obj=10.4]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 168.95 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 189.62 it/sec, obj=9.98]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 247.75 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 193.12 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 195.15 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 197.22 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 198.69 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 217.91 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 9.969964549551625
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.357099212520435
    INFO - 08:27:49:          cstr2 = -52.94291291379632
    INFO - 08:27:49:          cstr3 = 1.9533958521833483e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.767291602740001 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.767293623792794 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.054855) ***
    INFO - 08:27:49: ...  62%|██████▏   | 31/50 [00:02<00:01, 15.00 it/sec, obj=61.3]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.767291602740001 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.767293623792794 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 845.46 it/sec, obj=9.97]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 182.27 it/sec, obj=9.56]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 199.27 it/sec, obj=9.58]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 260.05 it/sec, obj=9.56]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 197.45 it/sec, obj=9.57]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 197.01 it/sec, obj=9.57]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 198.39 it/sec, obj=9.57]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 185.78 it/sec, obj=9.57]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 203.99 it/sec, obj=Not evaluated]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 22
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 9.566270256721957
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.304100279392163
    INFO - 08:27:49:          cstr2 = -52.995910843848655
    INFO - 08:27:49:          cstr3 = 1.7667094738271771e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.812961092515117 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.812962946388588 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.057829) ***
    INFO - 08:27:49: ...  64%|██████▍   | 32/50 [00:02<00:01, 15.04 it/sec, obj=63.3]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.812961092515117 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.812962946388588 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 846.14 it/sec, obj=9.57]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 181.85 it/sec, obj=9.17]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 194.51 it/sec, obj=9.19]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 253.63 it/sec, obj=9.17]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 192.69 it/sec, obj=9.18]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 192.47 it/sec, obj=9.18]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 194.45 it/sec, obj=9.18]
    INFO - 08:27:49:
   ERROR - 08:27:49: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 202.12 it/sec, obj=9.18]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 10
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 9.177170082342574
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.243804191817159
    INFO - 08:27:49:          cstr2 = -53.05620603916764
    INFO - 08:27:49:          cstr3 = 1.6029965053121487e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.857900867419894 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.857902572584027 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.053330) ***
    INFO - 08:27:49: ...  66%|██████▌   | 33/50 [00:02<00:01, 15.11 it/sec, obj=65.3]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.857900867419894 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.857902572584027 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 822.25 it/sec, obj=9.18]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 180.56 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 198.20 it/sec, obj=8.81]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 258.36 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   5%|▌         | 5/100 [00:00<00:00, 197.68 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   6%|▌         | 6/100 [00:00<00:00, 198.71 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   7%|▋         | 7/100 [00:00<00:00, 199.25 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   8%|▊         | 8/100 [00:00<00:00, 203.41 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   9%|▉         | 9/100 [00:00<00:00, 226.95 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49:
    INFO - 08:27:49: Optimization result:
    INFO - 08:27:49:    Optimizer info:
    INFO - 08:27:49:       Status: None
    INFO - 08:27:49:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:49:       Number of calls to the objective function by the optimizer: 11
    INFO - 08:27:49:    Solution:
    INFO - 08:27:49:       The solution is feasible.
    INFO - 08:27:49:       Objective: 8.801986053932161
    INFO - 08:27:49:       Standardized constraints:
    INFO - 08:27:49:          cstr1 = -12.176549949080384
    INFO - 08:27:49:          cstr2 = -53.12345948532793
    INFO - 08:27:49:          cstr3 = 1.4588381560542985e-06
    INFO - 08:27:49:       Design space:
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:       | x1   |      0      | 2.902144827297359 |      5      | float |
    INFO - 08:27:49:       | x2   |      -5     | 2.902146399698745 |      3      | float |
    INFO - 08:27:49:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: *** End MDOScenario execution (time: 0:00:00.054346) ***
    INFO - 08:27:49: ...  68%|██████▊   | 34/50 [00:02<00:01, 15.17 it/sec, obj=67.4]
    INFO - 08:27:49:
    INFO - 08:27:49: *** Start MDOScenario execution ***
    INFO - 08:27:49: MDOScenario
    INFO - 08:27:49:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:49:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:49: Optimization problem:
    INFO - 08:27:49:    minimize obj2(x1, x2)
    INFO - 08:27:49:    with respect to x1, x2
    INFO - 08:27:49:    subject to constraints:
    INFO - 08:27:49:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:49:       cstr3(x1, x2) == 0.0
    INFO - 08:27:49:    over the design space:
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49:    | x1   |      0      | 2.902144827297359 |      5      | float |
    INFO - 08:27:49:    | x2   |      -5     | 2.902146399698745 |      3      | float |
    INFO - 08:27:49:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:49: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:49: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   1%|          | 1/100 [00:00<00:00, 679.13 it/sec, obj=8.8]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   2%|▏         | 2/100 [00:00<00:00, 172.01 it/sec, obj=8.44]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   3%|▎         | 3/100 [00:00<00:00, 191.08 it/sec, obj=8.45]
    INFO - 08:27:49:
    INFO - 08:27:49: ...   4%|▍         | 4/100 [00:00<00:00, 249.50 it/sec, obj=8.44]
    INFO - 08:27:49:
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 190.39 it/sec, obj=8.44]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   6%|▌         | 6/100 [00:00<00:00, 192.33 it/sec, obj=8.44]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   7%|▋         | 7/100 [00:00<00:00, 194.35 it/sec, obj=8.44]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   8%|▊         | 8/100 [00:00<00:00, 199.06 it/sec, obj=8.44]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   9%|▉         | 9/100 [00:00<00:00, 222.12 it/sec, obj=8.44]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 11
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 8.440091120039419
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -12.102651087844379
    INFO - 08:27:50:          cstr2 = -53.19735763296684
    INFO - 08:27:50:          cstr3 = 1.331406977556071e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 2.945724325743082 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |  2.94572577921162 |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.055286) ***
    INFO - 08:27:50: ...  70%|███████   | 35/50 [00:02<00:00, 15.22 it/sec, obj=69.4]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 2.945724325743082 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |  2.94572577921162 |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 864.98 it/sec, obj=8.44]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 181.69 it/sec, obj=8.09]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 199.46 it/sec, obj=8.13]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 260.27 it/sec, obj=8.09]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 199.37 it/sec, obj=8.09]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   6%|▌         | 6/100 [00:00<00:00, 198.40 it/sec, obj=8.09]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   7%|▋         | 7/100 [00:00<00:00, 201.42 it/sec, obj=8.09]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   8%|▊         | 8/100 [00:00<00:00, 223.52 it/sec, obj=Not evaluated]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 9
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 8.090870387303882
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -12.023044146782937
    INFO - 08:27:50:          cstr2 = -53.2761790966897
    INFO - 08:27:50:          cstr3 = 0.00020079622720459156
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 2.988738006012545 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     | 2.988608546591318 |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.049559) ***
    INFO - 08:27:50: ...  72%|███████▏  | 36/50 [00:02<00:00, 15.30 it/sec, obj=71.5]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 2.988738006012545 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     | 2.988608546591318 |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 718.33 it/sec, obj=8.09]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 179.89 it/sec, obj=7.75]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 190.45 it/sec, obj=7.76]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 192.88 it/sec, obj=7.76]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 201.09 it/sec, obj=7.76]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   6%|▌         | 6/100 [00:00<00:00, 237.96 it/sec, obj=7.76]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 7
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 7.757023645324856
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -12.242976354675143
    INFO - 08:27:50:          cstr2 = -52.68684957831693
    INFO - 08:27:50:          cstr3 = 3.3273386748078337e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.061695677834655 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.039552) ***
    INFO - 08:27:50: ...  74%|███████▍  | 37/50 [00:02<00:00, 15.45 it/sec, obj=73.5]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.061695677834655 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 858.43 it/sec, obj=7.76]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 183.57 it/sec, obj=7.44]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 192.86 it/sec, obj=7.45]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 195.30 it/sec, obj=7.45]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 208.41 it/sec, obj=7.45]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 6
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 7.445362573568088
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -12.55463742643191
    INFO - 08:27:50:          cstr2 = -51.88237530806971
    INFO - 08:27:50:          cstr3 = 4.853377205904508e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.143831210916396 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.037758) ***
    INFO - 08:27:50: ...  76%|███████▌  | 38/50 [00:02<00:00, 15.60 it/sec, obj=75.5]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.143831210916396 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 751.80 it/sec, obj=7.45]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 182.13 it/sec, obj=7.15]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 192.20 it/sec, obj=7.15]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 195.47 it/sec, obj=7.15]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 201.72 it/sec, obj=7.15]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   6%|▌         | 6/100 [00:00<00:00, 238.98 it/sec, obj=7.15]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 7
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 7.154620914031879
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -12.84537908596812
    INFO - 08:27:50:          cstr2 = -51.111372431504165
    INFO - 08:27:50:          cstr3 = 4.151890550474491e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.223874747087953 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.039959) ***
    INFO - 08:27:50: ...  78%|███████▊  | 39/50 [00:02<00:00, 15.74 it/sec, obj=77.6]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.223874747087953 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 701.62 it/sec, obj=7.15]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 179.11 it/sec, obj=6.88]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 189.34 it/sec, obj=6.88]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 205.62 it/sec, obj=6.88]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 6.883276960536007
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -13.116723039463992
    INFO - 08:27:50:          cstr2 = -50.37140586526117
    INFO - 08:27:50:          cstr3 = 3.579350433824402e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.301978515879139 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.033055) ***
    INFO - 08:27:50: ...  80%|████████  | 40/50 [00:02<00:00, 15.91 it/sec, obj=79.6]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.301978515879139 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 726.41 it/sec, obj=6.88]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 178.33 it/sec, obj=6.63]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 188.69 it/sec, obj=6.63]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 205.22 it/sec, obj=6.63]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 6.629985301431095
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -13.370014698568903
    INFO - 08:27:50:          cstr2 = -49.660322954951624
    INFO - 08:27:50:          cstr3 = 3.107424234372047e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.378277057746577 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.033382) ***
    INFO - 08:27:50: ...  82%|████████▏ | 41/50 [00:02<00:00, 16.07 it/sec, obj=81.7]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.378277057746577 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 857.56 it/sec, obj=6.63]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 184.74 it/sec, obj=6.39]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 194.41 it/sec, obj=6.39]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 210.51 it/sec, obj=6.39]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 6.393549214890564
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -13.606450785109434
    INFO - 08:27:50:          cstr2 = -48.97620894882783
    INFO - 08:27:50:          cstr3 = 2.7149464330022965e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.452890044343788 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.032571) ***
    INFO - 08:27:50: ...  84%|████████▍ | 42/50 [00:02<00:00, 16.24 it/sec, obj=83.7]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.452890044343788 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 844.77 it/sec, obj=6.39]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 182.64 it/sec, obj=6.17]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 191.83 it/sec, obj=6.17]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 194.81 it/sec, obj=6.17]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 207.57 it/sec, obj=6.17]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 6
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 6.172898632413595
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -13.827101367586403
    INFO - 08:27:50:          cstr2 = -48.317351739694416
    INFO - 08:27:50:          cstr3 = 2.3858774227392132e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.525924482119862 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.038006) ***
    INFO - 08:27:50: ...  86%|████████▌ | 43/50 [00:02<00:00, 16.37 it/sec, obj=85.7]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.525924482119862 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 616.90 it/sec, obj=6.17]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 169.04 it/sec, obj=5.97]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 181.38 it/sec, obj=5.97]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 199.00 it/sec, obj=5.97]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 5.967072131553423
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -14.032927868446574
    INFO - 08:27:50:          cstr2 = -47.682213053482386
    INFO - 08:27:50:          cstr3 = 2.107911811322083e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |      value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.59747651301184 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |        3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.033811) ***
    INFO - 08:27:50: ...  88%|████████▊ | 44/50 [00:02<00:00, 16.52 it/sec, obj=87.8]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |      value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.59747651301184 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |        3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 754.37 it/sec, obj=5.97]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 182.32 it/sec, obj=5.77]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 192.66 it/sec, obj=5.78]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 209.15 it/sec, obj=5.78]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 5.775202092447151
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -14.224797907552846
    INFO - 08:27:50:          cstr2 = -47.06940469984319
    INFO - 08:27:50:          cstr3 = 1.8715021212756255e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.667632898767327 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.033001) ***
    INFO - 08:27:50: ...  90%|█████████ | 45/50 [00:02<00:00, 16.67 it/sec, obj=89.8]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.667632898767327 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 721.66 it/sec, obj=5.78]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 178.48 it/sec, obj=5.59]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 188.66 it/sec, obj=5.6]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 204.30 it/sec, obj=5.6]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 5.5965023641763265
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -14.403497635823681
    INFO - 08:27:50:          cstr2 = -46.47766883842998
    INFO - 08:27:50:          cstr3 = 1.6691638791144214e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.736472254291057 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     | 2.999999999999999 |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.033614) ***
    INFO - 08:27:50: ...  92%|█████████▏| 46/50 [00:02<00:00, 16.81 it/sec, obj=91.8]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.736472254291057 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     | 2.999999999999999 |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 859.84 it/sec, obj=5.6]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 174.35 it/sec, obj=5.43]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 183.51 it/sec, obj=5.43]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 186.15 it/sec, obj=5.43]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   5%|▌         | 5/100 [00:00<00:00, 222.82 it/sec, obj=Not evaluated]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 5.430257940980228
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -14.569742059019779
    INFO - 08:27:50:          cstr2 = -45.90586146091414
    INFO - 08:27:50:          cstr3 = 1.4949736311109518e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.804066080011013 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     | 2.999999999999999 |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.036171) ***
    INFO - 08:27:50: ...  94%|█████████▍| 47/50 [00:02<00:00, 16.93 it/sec, obj=93.9]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.804066080011013 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     | 2.999999999999999 |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 861.61 it/sec, obj=5.43]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 183.54 it/sec, obj=5.27]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 193.04 it/sec, obj=5.28]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 209.60 it/sec, obj=5.28]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 5.2758162619540165
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -14.724183738046001
    INFO - 08:27:50:          cstr2 = -45.352938470557305
    INFO - 08:27:50:          cstr3 = 1.344202033237707e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.870479631899447 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     | 2.999999999999998 |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.032536) ***
    INFO - 08:27:50: ...  96%|█████████▌| 48/50 [00:02<00:00, 17.07 it/sec, obj=95.9]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.870479631899447 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     | 2.999999999999998 |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 826.79 it/sec, obj=5.28]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 183.07 it/sec, obj=5.13]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 193.03 it/sec, obj=5.13]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 209.15 it/sec, obj=5.13]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 5.132579832689039
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -14.867420167310959
    INFO - 08:27:50:          cstr2 = -44.81794387687677
    INFO - 08:27:50:          cstr3 = 1.213042054359903e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 3.935772659302045 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.032966) ***
    INFO - 08:27:50: ...  98%|█████████▊| 49/50 [00:02<00:00, 17.21 it/sec, obj=98]
    INFO - 08:27:50:
    INFO - 08:27:50: *** Start MDOScenario execution ***
    INFO - 08:27:50: MDOScenario
    INFO - 08:27:50:    Disciplines: AnalyticDiscipline AnalyticDiscipline
    INFO - 08:27:50:    MDO formulation: DisciplinaryOpt
    INFO - 08:27:50: Optimization problem:
    INFO - 08:27:50:    minimize obj2(x1, x2)
    INFO - 08:27:50:    with respect to x1, x2
    INFO - 08:27:50:    subject to constraints:
    INFO - 08:27:50:       cstr1(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr2(x1, x2) <= 0.0
    INFO - 08:27:50:       cstr3(x1, x2) == 0.0
    INFO - 08:27:50:    over the design space:
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:    | x1   |      0      | 3.935772659302045 |      5      | float |
    INFO - 08:27:50:    | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:    +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: Solving optimization problem with algorithm NLOPT_SLSQP:
    INFO - 08:27:50: ...   0%|          | 0/100 [00:00<?, ?it]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   1%|          | 1/100 [00:00<00:00, 737.65 it/sec, obj=5.13]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   2%|▏         | 2/100 [00:00<00:00, 174.90 it/sec, obj=5]
    INFO - 08:27:50:
    INFO - 08:27:50: ...   3%|▎         | 3/100 [00:00<00:00, 186.54 it/sec, obj=5]
    INFO - 08:27:50:
   ERROR - 08:27:50: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
    INFO - 08:27:50: ...   4%|▍         | 4/100 [00:00<00:00, 203.58 it/sec, obj=5]
    INFO - 08:27:50:
    INFO - 08:27:50:
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message:  GEMSEO Stopped the driver
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 5
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 4.9999999313496275
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr1 = -15.00000006865037
    INFO - 08:27:50:          cstr2 = -44.299999725398514
    INFO - 08:27:50:          cstr3 = 1.0984059315433115e-06
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | name | lower_bound |       value       | upper_bound | type  |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50:       | x1   |      0      | 4.000000034325185 |      5      | float |
    INFO - 08:27:50:       | x2   |      -5     |         3         |      3      | float |
    INFO - 08:27:50:       +------+-------------+-------------------+-------------+-------+
    INFO - 08:27:50: *** End MDOScenario execution (time: 0:00:00.033285) ***
    INFO - 08:27:50: ... 100%|██████████| 50/50 [00:02<00:00, 17.34 it/sec, obj=100]
    INFO - 08:27:50: Optimization result:
    INFO - 08:27:50:    Optimizer info:
    INFO - 08:27:50:       Status: None
    INFO - 08:27:50:       Message: None
    INFO - 08:27:50:       Number of calls to the objective function by the optimizer: 50
    INFO - 08:27:50:    Solution:
    INFO - 08:27:50:       The solution is feasible.
    INFO - 08:27:50:       Objective: 0.10832777706440924
    INFO - 08:27:50:       Standardized constraints:
    INFO - 08:27:50:          cstr3 = 0.008327777064409236
    INFO - 08:27:50:       Design space:
    INFO - 08:27:50:       +-------------+-------------+-------+-------------+-------+
    INFO - 08:27:50:       | name        | lower_bound | value | upper_bound | type  |
    INFO - 08:27:50:       +-------------+-------------+-------+-------------+-------+
    INFO - 08:27:50:       | obj1_target |     0.1     |  0.1  |     100     | float |
    INFO - 08:27:50:       +-------------+-------------+-------+-------------+-------+
    INFO - 08:27:50: *** End DOEScenario execution (time: 0:00:02.896510) ***

<gemseo.post.pareto_front.ParetoFront object at 0x7f1c88391e80>

Total running time of the script: (0 minutes 3.170 seconds)

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