.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/post_process/algorithms/plot_pareto_front_binhkorn_bilevel.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_examples_post_process_algorithms_plot_pareto_front_binhkorn_bilevel.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_post_process_algorithms_plot_pareto_front_binhkorn_bilevel.py:


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.

.. GENERATED FROM PYTHON SOURCE LINES 30-34

Import
------
The first step is to import some functions from the API,
and to configure the logger.

.. GENERATED FROM PYTHON SOURCE LINES 34-46

.. code-block:: default

    from __future__ import annotations

    from gemseo.api import configure_logger
    from gemseo.api import create_design_space
    from gemseo.api import create_discipline
    from gemseo.api import create_scenario
    from gemseo.disciplines.scenario_adapter import MDOScenarioAdapter
    from numpy import array

    configure_logger()






.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    <RootLogger root (INFO)>



.. GENERATED FROM PYTHON SOURCE LINES 47-53

Definition of the disciplines
-----------------------------

In this example,
we create the Binh and Korn disciplines from scratch by declaring their expressions and using
the :class:`.AnalyticDiscipline`.

.. GENERATED FROM PYTHON SOURCE LINES 53-61

.. code-block:: default


    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",
    }








.. GENERATED FROM PYTHON SOURCE LINES 62-63

This constraint will be used to set `obj1` to a target value for the lower-level scenario.

.. GENERATED FROM PYTHON SOURCE LINES 63-66

.. code-block:: default


    expr_cstr_obj1_target = {"cstr3": "obj1 - obj1_target"}








.. GENERATED FROM PYTHON SOURCE LINES 67-71

Instantiation of the disciplines
--------------------------------

Here, we create the disciplines from their expressions.

.. GENERATED FROM PYTHON SOURCE LINES 71-79

.. code-block:: default


    discipline_binh_korn = create_discipline(
        "AnalyticDiscipline", expressions=expr_binh_korn
    )
    discipline_cstr_obj1 = create_discipline(
        "AnalyticDiscipline", expressions=expr_cstr_obj1_target
    )








.. GENERATED FROM PYTHON SOURCE LINES 80-82

Definition of the lower-level design space
------------------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 82-92

.. code-block:: default


    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,
    ]








.. GENERATED FROM PYTHON SOURCE LINES 93-96

Creation of the lower-level scenario
------------------------------------
This scenario aims at finding the `obj2` optimal value for a specific value of `obj1`.

.. GENERATED FROM PYTHON SOURCE LINES 96-106

.. code-block:: default


    scenario = create_scenario(
        disciplines,
        "DisciplinaryOpt",
        design_space=design_space,
        objective_name="obj2",
    )

    scenario.default_inputs = {"algo": "NLOPT_SLSQP", "max_iter": 100}








.. GENERATED FROM PYTHON SOURCE LINES 107-108

We add the Binh and Korn problem constraints.

.. GENERATED FROM PYTHON SOURCE LINES 108-111

.. code-block:: default

    scenario.add_constraint("cstr1", "ineq")
    scenario.add_constraint("cstr2", "ineq")








.. GENERATED FROM PYTHON SOURCE LINES 112-113

We add a constraint to force the value of `obj1` to `obj1_target`.

.. GENERATED FROM PYTHON SOURCE LINES 113-115

.. code-block:: default

    scenario.add_constraint("cstr3", "eq")








.. GENERATED FROM PYTHON SOURCE LINES 116-124

Creation of an MDOScenarioAdapter
---------------------------------

An :class:`.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.

.. GENERATED FROM PYTHON SOURCE LINES 124-133

.. code-block:: default


    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])
    )








.. GENERATED FROM PYTHON SOURCE LINES 134-140

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.

.. GENERATED FROM PYTHON SOURCE LINES 140-151

.. code-block:: default


    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")








.. GENERATED FROM PYTHON SOURCE LINES 152-155

Run the scenario
----------------
Finally, we run a full-factorial DOE using 100 samples and we run the post-processing.

.. GENERATED FROM PYTHON SOURCE LINES 155-160

.. code-block:: default

    run_inputs = {"n_samples": 50, "algo": "fullfact"}
    scenario_doe.execute(run_inputs)
    scenario_doe.post_process(
        "ParetoFront", objectives=["obj1", "obj2"], save=False, show=True
    )



.. image-sg:: /examples/post_process/algorithms/images/sphx_glr_plot_pareto_front_binhkorn_bilevel_001.png
   :alt: Pareto front
   :srcset: /examples/post_process/algorithms/images/sphx_glr_plot_pareto_front_binhkorn_bilevel_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

        INFO - 16:55:31:  
        INFO - 16:55:31: *** Start DOEScenario execution ***
        INFO - 16:55:31: DOEScenario
        INFO - 16:55:31:    Disciplines: MDOScenario_adapter
        INFO - 16:55:31:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:31: Optimization problem:
        INFO - 16:55:31:    minimize obj1(obj1_target)
        INFO - 16:55:31:    with respect to obj1_target
        INFO - 16:55:31:    subject to constraints:
        INFO - 16:55:31:       cstr3(obj1_target) == 0.0
        INFO - 16:55:31:    over the design space:
        INFO - 16:55:31:    +-------------+-------------+-------+-------------+-------+
        INFO - 16:55:31:    | name        | lower_bound | value | upper_bound | type  |
        INFO - 16:55:31:    +-------------+-------------+-------+-------------+-------+
        INFO - 16:55:31:    | obj1_target |     0.1     |   1   |     100     | float |
        INFO - 16:55:31:    +-------------+-------------+-------+-------------+-------+
        INFO - 16:55:31: Solving optimization problem with algorithm fullfact:
        INFO - 16:55:31: ...   0%|          | 0/50 [00:00<?, ?it]
        INFO - 16:55:31:  
        INFO - 16:55:31: *** Start MDOScenario execution ***
        INFO - 16:55:31: MDOScenario
        INFO - 16:55:31:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:31:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:31: Optimization problem:
        INFO - 16:55:31:    minimize obj2(x1, x2)
        INFO - 16:55:31:    with respect to x1, x2
        INFO - 16:55:31:    subject to constraints:
        INFO - 16:55:31:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr3(x1, x2) == 0.0
        INFO - 16:55:31:    over the design space:
        INFO - 16:55:31:    +------+-------------+-------+-------------+-------+
        INFO - 16:55:31:    | name | lower_bound | value | upper_bound | type  |
        INFO - 16:55:31:    +------+-------------+-------+-------------+-------+
        INFO - 16:55:31:    | x1   |      0      |   2   |      5      | float |
        INFO - 16:55:31:    | x2   |      -5     |   2   |      3      | float |
        INFO - 16:55:31:    +------+-------------+-------+-------------+-------+
        INFO - 16:55:31: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:31: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   1%|          | 1/100 [00:00<00:00, 105.15 it/sec, obj=18]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   2%|▏         | 2/100 [00:00<00:00, 106.42 it/sec, obj=32.3]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   3%|▎         | 3/100 [00:00<00:00, 156.87 it/sec, obj=19.2]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   4%|▍         | 4/100 [00:00<00:00, 187.82 it/sec, obj=18.1]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   5%|▌         | 5/100 [00:00<00:00, 210.11 it/sec, obj=18]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   6%|▌         | 6/100 [00:00<00:00, 186.80 it/sec, obj=34]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   7%|▋         | 7/100 [00:00<00:00, 216.02 it/sec, obj=20.5]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   8%|▊         | 8/100 [00:00<00:00, 196.39 it/sec, obj=33.3]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   9%|▉         | 9/100 [00:00<00:00, 219.40 it/sec, obj=22]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  10%|█         | 10/100 [00:00<00:00, 200.87 it/sec, obj=34.5]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  11%|█         | 11/100 [00:00<00:00, 205.48 it/sec, obj=41.7]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  12%|█▏        | 12/100 [00:00<00:00, 222.73 it/sec, obj=38.2]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  13%|█▎        | 13/100 [00:00<00:00, 208.04 it/sec, obj=43.7]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  14%|█▍        | 14/100 [00:00<00:00, 211.28 it/sec, obj=44.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  15%|█▌        | 15/100 [00:00<00:00, 225.25 it/sec, obj=43.9]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  16%|█▌        | 16/100 [00:00<00:00, 213.56 it/sec, obj=46.5]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  17%|█▋        | 17/100 [00:00<00:00, 226.05 it/sec, obj=45.3]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  18%|█▊        | 18/100 [00:00<00:00, 214.50 it/sec, obj=47.1]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  19%|█▉        | 19/100 [00:00<00:00, 215.57 it/sec, obj=47.7]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  20%|██        | 20/100 [00:00<00:00, 216.79 it/sec, obj=47.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  21%|██        | 21/100 [00:00<00:00, 226.93 it/sec, obj=47.7]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  22%|██▏       | 22/100 [00:00<00:00, 214.81 it/sec, obj=47.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  23%|██▎       | 23/100 [00:00<00:00, 214.32 it/sec, obj=47.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  24%|██▍       | 24/100 [00:00<00:00, 214.76 it/sec, obj=47.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  25%|██▌       | 25/100 [00:00<00:00, 221.12 it/sec, obj=Not evaluated]
        INFO - 16:55:31: 
        INFO - 16:55:31: 
        INFO - 16:55:31: Optimization result:
        INFO - 16:55:31:    Optimizer info:
        INFO - 16:55:31:       Status: None
        INFO - 16:55:31:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:31:       Number of calls to the objective function by the optimizer: 32
        INFO - 16:55:31:    Solution:
        INFO - 16:55:31:       The solution is feasible.
        INFO - 16:55:31:       Objective: 47.703727654876516
        INFO - 16:55:31:       Standardized constraints:
        INFO - 16:55:31:          cstr1 = -1.0667466573428754
        INFO - 16:55:31:          cstr2 = -64.31467159436009
        INFO - 16:55:31:          cstr3 = 0.008327777064409236
        INFO - 16:55:31:       Design space: 
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:       | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:       | x1   |      0      | 0.1093828601608978 |      5      | float |
        INFO - 16:55:31:       | x2   |      -5     | 0.1229525687780608 |      3      | float |
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31: *** End MDOScenario execution (time: 0:00:00.125171) ***
        INFO - 16:55:31: ...   2%|▏         | 1/50 [00:00<00:06,  7.61 it/sec, obj=0.108]
        INFO - 16:55:31:  
        INFO - 16:55:31: *** Start MDOScenario execution ***
        INFO - 16:55:31: MDOScenario
        INFO - 16:55:31:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:31:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:31: Optimization problem:
        INFO - 16:55:31:    minimize obj2(x1, x2)
        INFO - 16:55:31:    with respect to x1, x2
        INFO - 16:55:31:    subject to constraints:
        INFO - 16:55:31:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr3(x1, x2) == 0.0
        INFO - 16:55:31:    over the design space:
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:    | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:    | x1   |      0      | 0.1093828601608978 |      5      | float |
        INFO - 16:55:31:    | x2   |      -5     | 0.1229525687780608 |      3      | float |
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:31: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   1%|          | 1/100 [00:00<00:00, 874.91 it/sec, obj=47.7]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   2%|▏         | 2/100 [00:00<00:00, 214.42 it/sec, obj=38]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   3%|▎         | 3/100 [00:00<00:00, 310.90 it/sec, obj=45.4]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   4%|▍         | 4/100 [00:00<00:00, 222.88 it/sec, obj=26]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   5%|▌         | 5/100 [00:00<00:00, 274.29 it/sec, obj=43.1]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   6%|▌         | 6/100 [00:00<00:00, 222.28 it/sec, obj=40.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   7%|▋         | 7/100 [00:00<00:00, 227.10 it/sec, obj=35.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   8%|▊         | 8/100 [00:00<00:00, 257.20 it/sec, obj=39.8]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   9%|▉         | 9/100 [00:00<00:00, 226.09 it/sec, obj=40]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  10%|█         | 10/100 [00:00<00:00, 226.49 it/sec, obj=40.2]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  11%|█         | 11/100 [00:00<00:00, 225.88 it/sec, obj=40.2]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  12%|█▏        | 12/100 [00:00<00:00, 225.74 it/sec, obj=40.2]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  13%|█▎        | 13/100 [00:00<00:00, 240.26 it/sec, obj=Not evaluated]
        INFO - 16:55:31: 
        INFO - 16:55:31: 
        INFO - 16:55:31: Optimization result:
        INFO - 16:55:31:    Optimizer info:
        INFO - 16:55:31:       Status: None
        INFO - 16:55:31:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:31:       Number of calls to the objective function by the optimizer: 16
        INFO - 16:55:31:    Solution:
        INFO - 16:55:31:       The solution is feasible.
        INFO - 16:55:31:       Objective: 40.19103454891671
        INFO - 16:55:31:       Standardized constraints:
        INFO - 16:55:31:          cstr1 = -4.635553160505001
        INFO - 16:55:31:          cstr2 = -60.66617024950777
        INFO - 16:55:31:          cstr3 = 0.0011716100039924626
        INFO - 16:55:31:       Design space: 
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:       | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:       | x1   |      0      | 0.5170539940557017 |      5      | float |
        INFO - 16:55:31:       | x2   |      -5     | 0.5173412290578288 |      3      | float |
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31: *** End MDOScenario execution (time: 0:00:00.057759) ***
        INFO - 16:55:31: ...   4%|▍         | 2/50 [00:00<00:04, 10.43 it/sec, obj=2.14]
        INFO - 16:55:31:  
        INFO - 16:55:31: *** Start MDOScenario execution ***
        INFO - 16:55:31: MDOScenario
        INFO - 16:55:31:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:31:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:31: Optimization problem:
        INFO - 16:55:31:    minimize obj2(x1, x2)
        INFO - 16:55:31:    with respect to x1, x2
        INFO - 16:55:31:    subject to constraints:
        INFO - 16:55:31:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr3(x1, x2) == 0.0
        INFO - 16:55:31:    over the design space:
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:    | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:    | x1   |      0      | 0.5170539940557017 |      5      | float |
        INFO - 16:55:31:    | x2   |      -5     | 0.5173412290578288 |      3      | float |
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:31: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   1%|          | 1/100 [00:00<00:00, 950.01 it/sec, obj=40.2]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   2%|▏         | 2/100 [00:00<00:00, 204.78 it/sec, obj=35.9]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   3%|▎         | 3/100 [00:00<00:00, 220.80 it/sec, obj=50.4]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   4%|▍         | 4/100 [00:00<00:00, 288.40 it/sec, obj=36.1]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   5%|▌         | 5/100 [00:00<00:00, 310.84 it/sec, obj=35.9]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   6%|▌         | 6/100 [00:00<00:00, 325.49 it/sec, obj=35.9]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   7%|▋         | 7/100 [00:00<00:00, 257.81 it/sec, obj=36.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   8%|▊         | 8/100 [00:00<00:00, 254.58 it/sec, obj=36.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   9%|▉         | 9/100 [00:00<00:00, 248.74 it/sec, obj=36.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  10%|█         | 10/100 [00:00<00:00, 246.11 it/sec, obj=36.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...  11%|█         | 11/100 [00:00<00:00, 264.70 it/sec, obj=Not evaluated]
        INFO - 16:55:31: 
        INFO - 16:55:31: 
        INFO - 16:55:31: Optimization result:
        INFO - 16:55:31:    Optimizer info:
        INFO - 16:55:31:       Status: None
        INFO - 16:55:31:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:31:       Number of calls to the objective function by the optimizer: 12
        INFO - 16:55:31:    Solution:
        INFO - 16:55:31:       The solution is feasible.
        INFO - 16:55:31:       Objective: 36.59177704909952
        INFO - 16:55:31:       Standardized constraints:
        INFO - 16:55:31:          cstr1 = -6.181927091281441
        INFO - 16:55:31:          cstr2 = -59.1180600956955
        INFO - 16:55:31:          cstr3 = 9.47309592103096e-06
        INFO - 16:55:31:       Design space: 
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:       | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:       | x1   |      0      | 0.7226317214657462 |      5      | float |
        INFO - 16:55:31:       | x2   |      -5     | 0.7226295859619043 |      3      | float |
        INFO - 16:55:31:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31: *** End MDOScenario execution (time: 0:00:00.045232) ***
        INFO - 16:55:31: ...   6%|▌         | 3/50 [00:00<00:03, 12.52 it/sec, obj=4.18]
        INFO - 16:55:31:  
        INFO - 16:55:31: *** Start MDOScenario execution ***
        INFO - 16:55:31: MDOScenario
        INFO - 16:55:31:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:31:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:31: Optimization problem:
        INFO - 16:55:31:    minimize obj2(x1, x2)
        INFO - 16:55:31:    with respect to x1, x2
        INFO - 16:55:31:    subject to constraints:
        INFO - 16:55:31:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:31:       cstr3(x1, x2) == 0.0
        INFO - 16:55:31:    over the design space:
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:    | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31:    | x1   |      0      | 0.7226317214657462 |      5      | float |
        INFO - 16:55:31:    | x2   |      -5     | 0.7226295859619043 |      3      | float |
        INFO - 16:55:31:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:31: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:31: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   1%|          | 1/100 [00:00<00:00, 936.65 it/sec, obj=36.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   2%|▏         | 2/100 [00:00<00:00, 205.16 it/sec, obj=33.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   3%|▎         | 3/100 [00:00<00:00, 221.29 it/sec, obj=33.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   4%|▍         | 4/100 [00:00<00:00, 289.05 it/sec, obj=33.6]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   5%|▌         | 5/100 [00:00<00:00, 221.42 it/sec, obj=33.9]
        INFO - 16:55:31: 
        INFO - 16:55:31: ...   6%|▌         | 6/100 [00:00<00:00, 221.10 it/sec, obj=33.9]
        INFO - 16:55:31: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 221.62 it/sec, obj=33.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 246.77 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 33.919631813422384
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -7.255848461968618
        INFO - 16:55:32:          cstr2 = -58.05233099585455
        INFO - 16:55:32:          cstr3 = 0.0038288011280993572
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 0.8810887294903702 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 0.882451972460899  |      3      | float |
        INFO - 16:55:32:       +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036130) ***
        INFO - 16:55:32: ...   8%|▊         | 4/50 [00:00<00:03, 14.34 it/sec, obj=6.22]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value        | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 0.8810887294903702 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 0.882451972460899  |      3      | float |
        INFO - 16:55:32:    +------+-------------+--------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1007.76 it/sec, obj=33.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 209.83 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 217.17 it/sec, obj=31]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 221.70 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 224.81 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 224.16 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 224.19 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 224.20 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 246.81 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 31.74205545582052
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -8.126479874112459
        INFO - 16:55:32:          cstr2 = -57.137414252228
        INFO - 16:55:32:          cstr3 = 0.005542967398865173
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.019164112616626 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.013146467006703 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.040228) ***
        INFO - 16:55:32: ...  10%|█         | 5/50 [00:00<00:02, 15.54 it/sec, obj=8.26]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.019164112616626 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.013146467006703 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1069.98 it/sec, obj=31.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 219.60 it/sec, obj=31.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 319.43 it/sec, obj=31.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 221.77 it/sec, obj=29.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 223.51 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 226.51 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 261.01 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 223.00 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 222.73 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  10%|█         | 10/100 [00:00<00:00, 222.76 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  11%|█         | 11/100 [00:00<00:00, 224.90 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  12%|█▏        | 12/100 [00:00<00:00, 243.95 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 15
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 29.88109811954699
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -8.904130006507508
        INFO - 16:55:32:          cstr2 = -56.236931646326525
        INFO - 16:55:32:          cstr3 = 0.008278899838032316
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.147966911922212 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     |  1.12147718739455 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.053694) ***
        INFO - 16:55:32: ...  12%|█▏        | 6/50 [00:00<00:02, 15.88 it/sec, obj=10.3]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.147966911922212 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     |  1.12147718739455 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1069.98 it/sec, obj=29.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 219.93 it/sec, obj=29.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 319.81 it/sec, obj=29.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 221.14 it/sec, obj=27.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 224.07 it/sec, obj=28.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 227.05 it/sec, obj=28.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 261.64 it/sec, obj=28.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 273.88 it/sec, obj=28.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 233.82 it/sec, obj=28.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  10%|█         | 10/100 [00:00<00:00, 232.95 it/sec, obj=28.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  11%|█         | 11/100 [00:00<00:00, 231.74 it/sec, obj=28.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  12%|█▏        | 12/100 [00:00<00:00, 248.44 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 14
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 28.24715432188683
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -9.262042373098518
        INFO - 16:55:32:          cstr2 = -56.1244562169954
        INFO - 16:55:32:          cstr3 = 0.005733399147294094
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.234663898819147 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.249080330501465 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.052072) ***
        INFO - 16:55:32: ...  14%|█▍        | 7/50 [00:00<00:02, 16.19 it/sec, obj=12.3]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.234663898819147 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.249080330501465 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 987.13 it/sec, obj=28.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 217.81 it/sec, obj=34.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 316.85 it/sec, obj=28.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 219.88 it/sec, obj=26.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 222.69 it/sec, obj=26.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 225.61 it/sec, obj=26.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 260.44 it/sec, obj=26.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 268.70 it/sec, obj=26.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 230.41 it/sec, obj=26.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  10%|█         | 10/100 [00:00<00:00, 229.58 it/sec, obj=26.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  11%|█         | 11/100 [00:00<00:00, 246.89 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 13
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 26.78338139404545
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -9.960291855840104
        INFO - 16:55:32:          cstr2 = -55.16052551821478
        INFO - 16:55:32:          cstr3 = 0.007261845302840797
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.355496446002296 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.325632675011445 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.048226) ***
        INFO - 16:55:32: ...  16%|█▌        | 8/50 [00:00<00:02, 16.56 it/sec, obj=14.4]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.355496446002296 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.325632675011445 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 989.46 it/sec, obj=26.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 215.24 it/sec, obj=27.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 311.68 it/sec, obj=26.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 216.78 it/sec, obj=25.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 220.27 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 223.86 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 258.42 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 220.11 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 220.27 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  10%|█         | 10/100 [00:00<00:00, 220.84 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  11%|█         | 11/100 [00:00<00:00, 238.10 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 13
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 25.456747661016507
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -10.182735612985024
        INFO - 16:55:32:          cstr2 = -55.162076920524946
        INFO - 16:55:32:          cstr3 = 0.0021701470212498464
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      |  1.42858291701485 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.436051672599847 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.049878) ***
        INFO - 16:55:32: ...  18%|█▊        | 9/50 [00:00<00:02, 16.80 it/sec, obj=16.4]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      |  1.42858291701485 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.436051672599847 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 938.53 it/sec, obj=25.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 216.71 it/sec, obj=25.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 313.29 it/sec, obj=25.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 218.74 it/sec, obj=24]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 220.03 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 223.70 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 258.28 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 219.64 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 219.63 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  10%|█         | 10/100 [00:00<00:00, 219.96 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...  11%|█         | 11/100 [00:00<00:00, 237.60 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 13
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 24.238961391299995
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -10.581988784945853
        INFO - 16:55:32:          cstr2 = -54.70852336416608
        INFO - 16:55:32:          cstr3 = 0.0025169026502354086
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      |  1.51948629085676 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.517904982375415 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.049919) ***
        INFO - 16:55:32: ...  20%|██        | 10/50 [00:00<00:02, 17.01 it/sec, obj=18.5]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      |  1.51948629085676 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.517904982375415 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 926.51 it/sec, obj=24.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 207.24 it/sec, obj=23.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 215.69 it/sec, obj=22.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 219.79 it/sec, obj=23.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 222.77 it/sec, obj=23.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 222.24 it/sec, obj=23.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 222.72 it/sec, obj=23.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 222.55 it/sec, obj=23.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   9%|▉         | 9/100 [00:00<00:00, 244.13 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 23.11579694920823
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -10.870999209927898
        INFO - 16:55:32:          cstr2 = -54.4411348517972
        INFO - 16:55:32:          cstr3 = 0.00016967686911684154
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.599298040465538 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.601320384086387 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.040535) ***
        INFO - 16:55:32: ...  22%|██▏       | 11/50 [00:00<00:02, 17.43 it/sec, obj=20.5]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.599298040465538 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.601320384086387 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 992.97 it/sec, obj=23.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 207.50 it/sec, obj=22.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 211.87 it/sec, obj=21.9]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 218.13 it/sec, obj=22.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 221.69 it/sec, obj=22.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 221.57 it/sec, obj=22.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 222.03 it/sec, obj=22.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 247.81 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 8
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 22.070806133873354
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -11.152004241913563
        INFO - 16:55:32:          cstr2 = -54.144115710393905
        INFO - 16:55:32:          cstr3 = 7.790157006937193e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.678365637036731 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.677718962421308 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036005) ***
        INFO - 16:55:32: ...  24%|██▍       | 12/50 [00:00<00:02, 17.93 it/sec, obj=22.5]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.678365637036731 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.677718962421308 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1071.62 it/sec, obj=22.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 209.16 it/sec, obj=21.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 216.35 it/sec, obj=21]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 220.54 it/sec, obj=21.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 223.56 it/sec, obj=21.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 223.34 it/sec, obj=21.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 223.99 it/sec, obj=21.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 249.63 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 8
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 21.094680946646342
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -11.382543763227893
        INFO - 16:55:32:          cstr2 = -53.916789711709825
        INFO - 16:55:32:          cstr3 = 6.34855576464588e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.752388616522955 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.752277529012576 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035807) ***
        INFO - 16:55:32: ...  26%|██▌       | 13/50 [00:00<00:02, 18.37 it/sec, obj=24.6]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.752388616522955 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.752277529012576 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 873.63 it/sec, obj=21.1]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 204.57 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 220.97 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 288.66 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 221.36 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 221.08 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 221.79 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 246.74 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 20.179041747322394
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -11.584857264428393
        INFO - 16:55:32:          cstr2 = -53.715271313888515
        INFO - 16:55:32:          cstr3 = 3.6073850846918276e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.823588669105437 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.823610098824921 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036142) ***
        INFO - 16:55:32: ...  28%|██▊       | 14/50 [00:00<00:01, 18.76 it/sec, obj=26.6]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.823588669105437 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.823610098824921 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1076.57 it/sec, obj=20.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 211.09 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 227.28 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 295.62 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 225.91 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 225.28 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 225.40 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 251.48 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 19.31704274741805
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -11.761045500685725
        INFO - 16:55:32:          cstr2 = -53.53904269398964
        INFO - 16:55:32:          cstr3 = 1.9897482413711032e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 1.892176476077061 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.892191175189622 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035572) ***
        INFO - 16:55:32: ...  30%|███       | 15/50 [00:00<00:01, 19.12 it/sec, obj=28.6]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 1.892176476077061 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.892191175189622 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 897.37 it/sec, obj=19.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 206.58 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 221.80 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 289.69 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 219.73 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 218.89 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 219.37 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 244.20 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 18.50304766834182
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -11.91320794150552
        INFO - 16:55:32:          cstr2 = -53.38686658612579
        INFO - 16:55:32:          cstr3 = 1.6290651892347796e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      |  1.95836201774338 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 1.958374439015266 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036431) ***
        INFO - 16:55:32: ...  32%|███▏      | 16/50 [00:00<00:01, 19.43 it/sec, obj=30.7]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      |  1.95836201774338 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 1.958374439015266 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 883.94 it/sec, obj=18.5]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 206.21 it/sec, obj=17.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 223.41 it/sec, obj=17.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 290.83 it/sec, obj=17.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 222.63 it/sec, obj=17.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 222.48 it/sec, obj=17.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 222.82 it/sec, obj=17.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 248.68 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 17.732348004038087
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.043720783556537
        INFO - 16:55:32:          cstr2 = -53.256342241945774
        INFO - 16:55:32:          cstr3 = 1.3382114616433682e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.022382616990152 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.022393121240538 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035899) ***
        INFO - 16:55:32: ...  34%|███▍      | 17/50 [00:00<00:01, 19.73 it/sec, obj=32.7]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.022382616990152 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.022393121240538 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1079.89 it/sec, obj=17.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 211.29 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 226.19 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 295.35 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 225.60 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 224.29 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 224.57 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 250.61 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 17.000954389919343
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.154578598016688
        INFO - 16:55:32:          cstr2 = -53.14547523083256
        INFO - 16:55:32:          cstr3 = 1.112372472533707e-05
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.084437729731522 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.084446701206397 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035646) ***
        INFO - 16:55:32: ...  36%|███▌      | 18/50 [00:00<00:01, 20.00 it/sec, obj=34.8]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.084437729731522 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.084446701206397 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 944.45 it/sec, obj=17]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 209.28 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 224.80 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 293.52 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 224.52 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 223.99 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 223.54 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 248.56 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 16.30545494358224
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.247487820159945
        INFO - 16:55:32:          cstr2 = -53.0525585506805
        INFO - 16:55:32:          cstr3 = 9.341781733951393e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.144697995152375 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.144705723625782 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035994) ***
        INFO - 16:55:32: ...  38%|███▊      | 19/50 [00:00<00:01, 20.24 it/sec, obj=36.8]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.144697995152375 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.144705723625782 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1072.44 it/sec, obj=16.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 211.48 it/sec, obj=15.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 227.39 it/sec, obj=15.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 295.83 it/sec, obj=15.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 224.73 it/sec, obj=15.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 224.48 it/sec, obj=15.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 224.58 it/sec, obj=15.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 250.57 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 15.642904546075751
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.323921352239278
        INFO - 16:55:32:          cstr2 = -52.976118905633655
        INFO - 16:55:32:          cstr3 = 7.918085636049454e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.203310700523008 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.203317410168497 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035638) ***
        INFO - 16:55:32: ...  40%|████      | 20/50 [00:00<00:01, 20.48 it/sec, obj=38.8]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.203310700523008 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.203317410168497 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1035.12 it/sec, obj=15.6]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 210.15 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 225.51 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 294.46 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 224.64 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 224.14 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 222.92 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 247.74 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 15.010740057807617
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.385161018109931
        INFO - 16:55:32:          cstr2 = -52.91487417972193
        INFO - 16:55:32:          cstr3 = 6.767595998269371e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.260404026102934 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.260409892408245 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035955) ***
        INFO - 16:55:32: ...  42%|████▏     | 21/50 [00:01<00:01, 20.69 it/sec, obj=40.9]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.260404026102934 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.260409892408245 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 991.09 it/sec, obj=15]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 210.27 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 226.35 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 294.53 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 223.92 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 223.23 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 223.59 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 249.52 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 14.40671436156971
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.432330566830654
        INFO - 16:55:32:          cstr2 = -52.867700404654286
        INFO - 16:55:32:          cstr3 = 5.828223912374142e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.316090345245806 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.316095507159964 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035904) ***
        INFO - 16:55:32: ...  44%|████▍     | 22/50 [00:01<00:01, 20.88 it/sec, obj=42.9]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.316090345245806 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.316095507159964 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1071.34 it/sec, obj=14.4]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 210.22 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 225.29 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 294.22 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 224.52 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 224.14 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 224.68 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 250.19 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 13.828844363467137
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.46642168992727
        INFO - 16:55:32:          cstr2 = -52.83360572231145
        INFO - 16:55:32:          cstr3 = 5.053965359991253e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.370468825954106 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.370473394660559 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035746) ***
        INFO - 16:55:32: ...  46%|████▌     | 23/50 [00:01<00:01, 21.07 it/sec, obj=45]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.370468825954106 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.370473394660559 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 957.17 it/sec, obj=13.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 206.35 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 222.15 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 290.21 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 222.16 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 221.59 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 222.16 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 247.08 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 13.27536950292725
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.48831477873483
        INFO - 16:55:32:          cstr2 = -52.811709613282154
        INFO - 16:55:32:          cstr3 = 4.4102718916860795e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.423627506497627 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.423631571833792 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036236) ***
        INFO - 16:55:32: ...  48%|████▊     | 24/50 [00:01<00:01, 21.23 it/sec, obj=47]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.423627506497627 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.423631571833792 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1074.64 it/sec, obj=13.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 211.38 it/sec, obj=12.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 226.86 it/sec, obj=12.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 295.18 it/sec, obj=12.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 226.22 it/sec, obj=12.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 225.45 it/sec, obj=12.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 225.48 it/sec, obj=12.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 251.58 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 12.744718286984694
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.498795665972281
        INFO - 16:55:32:          cstr2 = -52.801226145304284
        INFO - 16:55:32:          cstr3 = 3.870874571987315e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.475644969491541 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.475648604704302 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.035532) ***
        INFO - 16:55:32: ...  50%|█████     | 25/50 [00:01<00:01, 21.40 it/sec, obj=49]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.475644969491541 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.475648604704302 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1000.55 it/sec, obj=12.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 201.12 it/sec, obj=12.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 217.58 it/sec, obj=12.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 284.29 it/sec, obj=12.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 219.69 it/sec, obj=12.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 219.80 it/sec, obj=12.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 218.79 it/sec, obj=12.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 243.62 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 12.235481029876208
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.49856926217808
        INFO - 16:55:32:          cstr2 = -52.80145032968164
        INFO - 16:55:32:          cstr3 = 3.4155702692828527e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.526591705484616 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.526594970794571 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036503) ***
        INFO - 16:55:32: ...  52%|█████▏    | 26/50 [00:01<00:01, 21.53 it/sec, obj=51.1]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.526591705484616 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.526594970794571 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 916.99 it/sec, obj=12.2]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 193.69 it/sec, obj=11.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 212.36 it/sec, obj=11.8]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 277.58 it/sec, obj=11.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   5%|▌         | 5/100 [00:00<00:00, 216.24 it/sec, obj=11.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   6%|▌         | 6/100 [00:00<00:00, 217.19 it/sec, obj=11.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   7%|▋         | 7/100 [00:00<00:00, 218.44 it/sec, obj=11.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   8%|▊         | 8/100 [00:00<00:00, 242.86 it/sec, obj=Not evaluated]
        INFO - 16:55:32: 
        INFO - 16:55:32: 
        INFO - 16:55:32: Optimization result:
        INFO - 16:55:32:    Optimizer info:
        INFO - 16:55:32:       Status: None
        INFO - 16:55:32:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:32:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:32:    Solution:
        INFO - 16:55:32:       The solution is feasible.
        INFO - 16:55:32:       Objective: 11.746387447065569
        INFO - 16:55:32:       Standardized constraints:
        INFO - 16:55:32:          cstr1 = -12.488270763209497
        INFO - 16:55:32:          cstr2 = -52.81174690860545
        INFO - 16:55:32:          cstr3 = 3.0286559535852575e-06
        INFO - 16:55:32:       Design space: 
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:       | x1   |      0      | 2.576531233670002 |      5      | float |
        INFO - 16:55:32:       | x2   |      -5     | 2.576534178972493 |      3      | float |
        INFO - 16:55:32:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: *** End MDOScenario execution (time: 0:00:00.036634) ***
        INFO - 16:55:32: ...  54%|█████▍    | 27/50 [00:01<00:01, 21.66 it/sec, obj=53.1]
        INFO - 16:55:32:  
        INFO - 16:55:32: *** Start MDOScenario execution ***
        INFO - 16:55:32: MDOScenario
        INFO - 16:55:32:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:32:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:32: Optimization problem:
        INFO - 16:55:32:    minimize obj2(x1, x2)
        INFO - 16:55:32:    with respect to x1, x2
        INFO - 16:55:32:    subject to constraints:
        INFO - 16:55:32:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:32:       cstr3(x1, x2) == 0.0
        INFO - 16:55:32:    over the design space:
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32:    | x1   |      0      | 2.576531233670002 |      5      | float |
        INFO - 16:55:32:    | x2   |      -5     | 2.576534178972493 |      3      | float |
        INFO - 16:55:32:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:32: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:32: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   1%|          | 1/100 [00:00<00:00, 1043.10 it/sec, obj=11.7]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   2%|▏         | 2/100 [00:00<00:00, 211.43 it/sec, obj=11.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   3%|▎         | 3/100 [00:00<00:00, 225.73 it/sec, obj=11.3]
        INFO - 16:55:32: 
        INFO - 16:55:32: ...   4%|▍         | 4/100 [00:00<00:00, 293.79 it/sec, obj=11.3]
        INFO - 16:55:32: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 224.49 it/sec, obj=11.3]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 224.14 it/sec, obj=11.3]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 224.33 it/sec, obj=11.3]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 250.33 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 11.276288087191698
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.46847493757269
        INFO - 16:55:33:          cstr2 = -52.83154106402759
        INFO - 16:55:33:          cstr3 = 2.697806259277513e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.625521030590181 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.625523697523561 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.035679) ***
        INFO - 16:55:33: ...  56%|█████▌    | 28/50 [00:01<00:01, 21.79 it/sec, obj=55.1]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.625521030590181 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.625523697523561 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1050.68 it/sec, obj=11.3]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 210.30 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 225.35 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 294.32 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 222.76 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 222.22 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 222.23 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 247.23 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 10.824138827797562
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.439703881005212
        INFO - 16:55:33:          cstr2 = -52.86031066026405
        INFO - 16:55:33:          cstr3 = 2.413258648914507e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.673613305574845 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.673615729119723 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.036043) ***
        INFO - 16:55:33: ...  58%|█████▊    | 29/50 [00:01<00:00, 21.91 it/sec, obj=57.2]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.673613305574845 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.673615729119723 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 940.43 it/sec, obj=10.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 209.78 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 226.35 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 294.18 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 222.30 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 217.88 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 215.90 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 240.16 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 10.388987838736117
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.402433536604322
        INFO - 16:55:33:          cstr2 = -52.89757972175886
        INFO - 16:55:33:          cstr3 = 2.1672147170193057e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.720855652738759 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.720857862465956 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.036976) ***
        INFO - 16:55:33: ...  60%|██████    | 30/50 [00:01<00:00, 22.01 it/sec, obj=59.2]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.720855652738759 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.720857862465956 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1026.51 it/sec, obj=10.4]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 211.53 it/sec, obj=9.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 227.41 it/sec, obj=9.98]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 295.91 it/sec, obj=9.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 225.07 it/sec, obj=9.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 224.61 it/sec, obj=9.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 224.57 it/sec, obj=9.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 250.61 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 9.969964549551625
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.357099212520435
        INFO - 16:55:33:          cstr2 = -52.94291291379632
        INFO - 16:55:33:          cstr3 = 1.9533958521833483e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.767291602740001 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.767293623792794 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.035597) ***
        INFO - 16:55:33: ...  62%|██████▏   | 31/50 [00:01<00:00, 22.13 it/sec, obj=61.3]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.767291602740001 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.767293623792794 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1071.07 it/sec, obj=9.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 210.90 it/sec, obj=9.56]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 225.75 it/sec, obj=9.58]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 294.81 it/sec, obj=9.56]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 225.15 it/sec, obj=9.57]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 224.63 it/sec, obj=9.57]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 224.78 it/sec, obj=9.57]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 249.71 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 9.566270256721957
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.304100279392163
        INFO - 16:55:33:          cstr2 = -52.995910843848655
        INFO - 16:55:33:          cstr3 = 1.7667094738271771e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.812961092515117 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.812962946388588 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.035745) ***
        INFO - 16:55:33: ...  64%|██████▍   | 32/50 [00:01<00:00, 22.24 it/sec, obj=63.3]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.812961092515117 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.812962946388588 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 974.51 it/sec, obj=9.57]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 210.36 it/sec, obj=9.17]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 226.41 it/sec, obj=9.19]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 294.57 it/sec, obj=9.17]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 222.90 it/sec, obj=9.18]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 220.94 it/sec, obj=9.18]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 220.13 it/sec, obj=9.18]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 245.25 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 9.177170082342574
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.243804191817159
        INFO - 16:55:33:          cstr2 = -53.05620603916764
        INFO - 16:55:33:          cstr3 = 1.6029965053121487e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.857900867419894 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.857902572584027 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.036473) ***
        INFO - 16:55:33: ...  66%|██████▌   | 33/50 [00:01<00:00, 22.32 it/sec, obj=65.3]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.857900867419894 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.857902572584027 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 884.31 it/sec, obj=9.18]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 186.29 it/sec, obj=8.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 200.52 it/sec, obj=8.81]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 262.39 it/sec, obj=8.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 208.51 it/sec, obj=8.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 210.73 it/sec, obj=8.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 212.86 it/sec, obj=8.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 236.77 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 8.801986053932161
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.176549949080384
        INFO - 16:55:33:          cstr2 = -53.12345948532793
        INFO - 16:55:33:          cstr3 = 1.4588381560542985e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.902144827297359 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.902146399698745 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.037720) ***
        INFO - 16:55:33: ...  68%|██████▊   | 34/50 [00:01<00:00, 22.39 it/sec, obj=67.4]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.902144827297359 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.902146399698745 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1038.71 it/sec, obj=8.8]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 197.23 it/sec, obj=8.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 212.15 it/sec, obj=8.45]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 276.85 it/sec, obj=8.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 214.20 it/sec, obj=8.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 215.56 it/sec, obj=8.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 216.92 it/sec, obj=8.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 241.86 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 8.440091120039419
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.102651087844379
        INFO - 16:55:33:          cstr2 = -53.19735763296684
        INFO - 16:55:33:          cstr3 = 1.331406977556071e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.945724325743082 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |  2.94572577921162 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.036843) ***
        INFO - 16:55:33: ...  70%|███████   | 35/50 [00:01<00:00, 22.47 it/sec, obj=69.4]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.945724325743082 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |  2.94572577921162 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1075.46 it/sec, obj=8.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 211.11 it/sec, obj=8.09]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 225.58 it/sec, obj=8.13]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 293.74 it/sec, obj=8.09]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 225.30 it/sec, obj=8.09]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 225.14 it/sec, obj=8.09]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   7%|▋         | 7/100 [00:00<00:00, 226.35 it/sec, obj=8.09]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   8%|▊         | 8/100 [00:00<00:00, 252.55 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 9
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 8.090870387303882
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.023044146782937
        INFO - 16:55:33:          cstr2 = -53.2761790966897
        INFO - 16:55:33:          cstr3 = 0.00020079622720459156
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 2.988738006012545 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.988608546591318 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.035381) ***
        INFO - 16:55:33: ...  72%|███████▏  | 36/50 [00:01<00:00, 22.56 it/sec, obj=71.5]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 2.988738006012545 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.988608546591318 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 867.31 it/sec, obj=8.09]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 204.85 it/sec, obj=7.75]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 212.61 it/sec, obj=7.76]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 214.54 it/sec, obj=7.76]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 220.72 it/sec, obj=7.76]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 261.60 it/sec, obj=7.76]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 7
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 7.757023645324856
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.242976354675143
        INFO - 16:55:33:          cstr2 = -52.68684957831693
        INFO - 16:55:33:          cstr3 = 3.3273386748078337e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.061695677834655 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.027205) ***
        INFO - 16:55:33: ...  74%|███████▍  | 37/50 [00:01<00:00, 22.76 it/sec, obj=73.5]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.061695677834655 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1076.57 it/sec, obj=7.76]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 210.54 it/sec, obj=7.44]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 218.93 it/sec, obj=7.45]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 219.34 it/sec, obj=7.45]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 230.59 it/sec, obj=7.45]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 6
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 7.445362573568088
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.55463742643191
        INFO - 16:55:33:          cstr2 = -51.88237530806971
        INFO - 16:55:33:          cstr3 = 4.853377205904508e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.143831210916396 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.025486) ***
        INFO - 16:55:33: ...  76%|███████▌  | 38/50 [00:01<00:00, 22.98 it/sec, obj=75.5]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.143831210916396 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 982.27 it/sec, obj=7.45]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 208.04 it/sec, obj=7.15]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 213.50 it/sec, obj=7.15]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 209.20 it/sec, obj=7.15]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 212.99 it/sec, obj=7.15]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   6%|▌         | 6/100 [00:00<00:00, 252.27 it/sec, obj=7.15]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 7
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 7.154620914031879
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -12.84537908596812
        INFO - 16:55:33:          cstr2 = -51.111372431504165
        INFO - 16:55:33:          cstr3 = 4.151890550474491e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.223874747087953 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.028142) ***
        INFO - 16:55:33: ...  78%|███████▊  | 39/50 [00:01<00:00, 23.16 it/sec, obj=77.6]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.223874747087953 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 785.30 it/sec, obj=7.15]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 200.90 it/sec, obj=6.88]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 211.29 it/sec, obj=6.88]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 224.97 it/sec, obj=6.88]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 6.883276960536007
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -13.116723039463992
        INFO - 16:55:33:          cstr2 = -50.37140586526117
        INFO - 16:55:33:          cstr3 = 3.579350433824402e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.301978515879139 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021648) ***
        INFO - 16:55:33: ...  80%|████████  | 40/50 [00:01<00:00, 23.41 it/sec, obj=79.6]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.301978515879139 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 909.24 it/sec, obj=6.88]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 206.96 it/sec, obj=6.63]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 215.76 it/sec, obj=6.63]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 228.65 it/sec, obj=6.63]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 6.629985301431095
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -13.370014698568903
        INFO - 16:55:33:          cstr2 = -49.660322954951624
        INFO - 16:55:33:          cstr3 = 3.107424234372047e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.378277057746577 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021117) ***
        INFO - 16:55:33: ...  82%|████████▏ | 41/50 [00:01<00:00, 23.67 it/sec, obj=81.7]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.378277057746577 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 930.00 it/sec, obj=6.63]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 202.72 it/sec, obj=6.39]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 211.60 it/sec, obj=6.39]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 225.10 it/sec, obj=6.39]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 6.393549214890564
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -13.606450785109434
        INFO - 16:55:33:          cstr2 = -48.97620894882783
        INFO - 16:55:33:          cstr3 = 2.7149464330022965e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.452890044343788 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021406) ***
        INFO - 16:55:33: ...  84%|████████▍ | 42/50 [00:01<00:00, 23.92 it/sec, obj=83.7]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.452890044343788 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 942.96 it/sec, obj=6.39]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 205.22 it/sec, obj=6.17]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 214.70 it/sec, obj=6.17]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 216.46 it/sec, obj=6.17]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 227.29 it/sec, obj=6.17]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 6
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 6.172898632413595
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -13.827101367586403
        INFO - 16:55:33:          cstr2 = -48.317351739694416
        INFO - 16:55:33:          cstr3 = 2.3858774227392132e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.525924482119862 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.025615) ***
        INFO - 16:55:33: ...  86%|████████▌ | 43/50 [00:01<00:00, 24.10 it/sec, obj=85.7]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.525924482119862 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 869.29 it/sec, obj=6.17]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 206.43 it/sec, obj=5.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 215.73 it/sec, obj=5.97]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 229.11 it/sec, obj=5.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 5.967072131553423
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -14.032927868446574
        INFO - 16:55:33:          cstr2 = -47.682213053482386
        INFO - 16:55:33:          cstr3 = 2.107911811322083e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |      value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.59747651301184 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |        3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021074) ***
        INFO - 16:55:33: ...  88%|████████▊ | 44/50 [00:01<00:00, 24.34 it/sec, obj=87.8]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |      value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.59747651301184 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |        3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 883.94 it/sec, obj=5.97]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 205.02 it/sec, obj=5.77]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 214.89 it/sec, obj=5.78]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 228.28 it/sec, obj=5.78]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 5.775202092447151
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -14.224797907552846
        INFO - 16:55:33:          cstr2 = -47.06940469984319
        INFO - 16:55:33:          cstr3 = 1.8715021212756255e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.667632898767327 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021099) ***
        INFO - 16:55:33: ...  90%|█████████ | 45/50 [00:01<00:00, 24.57 it/sec, obj=89.8]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.667632898767327 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 895.07 it/sec, obj=5.78]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 204.97 it/sec, obj=5.59]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 215.63 it/sec, obj=5.6]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 228.86 it/sec, obj=5.6]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 5.5965023641763265
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -14.403497635823681
        INFO - 16:55:33:          cstr2 = -46.47766883842998
        INFO - 16:55:33:          cstr3 = 1.6691638791144214e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.736472254291057 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.999999999999999 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021232) ***
        INFO - 16:55:33: ...  92%|█████████▏| 46/50 [00:01<00:00, 24.80 it/sec, obj=91.8]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.736472254291057 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.999999999999999 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 955.86 it/sec, obj=5.6]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 209.32 it/sec, obj=5.43]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 218.48 it/sec, obj=5.43]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 219.57 it/sec, obj=5.43]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   5%|▌         | 5/100 [00:00<00:00, 261.88 it/sec, obj=Not evaluated]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: Successive iterates of the design variables are closer than xtol_rel or xtol_abs. GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 5.430257940980228
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -14.569742059019779
        INFO - 16:55:33:          cstr2 = -45.90586146091414
        INFO - 16:55:33:          cstr3 = 1.4949736311109518e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.804066080011013 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.999999999999999 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.022745) ***
        INFO - 16:55:33: ...  94%|█████████▍| 47/50 [00:01<00:00, 24.99 it/sec, obj=93.9]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.804066080011013 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.999999999999999 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 1015.82 it/sec, obj=5.43]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 203.53 it/sec, obj=5.27]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 212.83 it/sec, obj=5.28]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 226.62 it/sec, obj=5.28]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 5.2758162619540165
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -14.724183738046001
        INFO - 16:55:33:          cstr2 = -45.352938470557305
        INFO - 16:55:33:          cstr3 = 1.344202033237707e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.870479631899447 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     | 2.999999999999998 |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021337) ***
        INFO - 16:55:33: ...  96%|█████████▌| 48/50 [00:01<00:00, 25.20 it/sec, obj=95.9]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.870479631899447 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     | 2.999999999999998 |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 993.20 it/sec, obj=5.28]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 205.85 it/sec, obj=5.13]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 215.32 it/sec, obj=5.13]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 228.46 it/sec, obj=5.13]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 5.132579832689039
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -14.867420167310959
        INFO - 16:55:33:          cstr2 = -44.81794387687677
        INFO - 16:55:33:          cstr3 = 1.213042054359903e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 3.935772659302045 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021151) ***
        INFO - 16:55:33: ...  98%|█████████▊| 49/50 [00:01<00:00, 25.41 it/sec, obj=98]
        INFO - 16:55:33:  
        INFO - 16:55:33: *** Start MDOScenario execution ***
        INFO - 16:55:33: MDOScenario
        INFO - 16:55:33:    Disciplines: AnalyticDiscipline AnalyticDiscipline
        INFO - 16:55:33:    MDO formulation: DisciplinaryOpt
        INFO - 16:55:33: Optimization problem:
        INFO - 16:55:33:    minimize obj2(x1, x2)
        INFO - 16:55:33:    with respect to x1, x2
        INFO - 16:55:33:    subject to constraints:
        INFO - 16:55:33:       cstr1(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr2(x1, x2) <= 0.0
        INFO - 16:55:33:       cstr3(x1, x2) == 0.0
        INFO - 16:55:33:    over the design space:
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:    | x1   |      0      | 3.935772659302045 |      5      | float |
        INFO - 16:55:33:    | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:    +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: Solving optimization problem with algorithm NLOPT_SLSQP:
        INFO - 16:55:33: ...   0%|          | 0/100 [00:00<?, ?it]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   1%|          | 1/100 [00:00<00:00, 873.45 it/sec, obj=5.13]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   2%|▏         | 2/100 [00:00<00:00, 205.96 it/sec, obj=5]
        INFO - 16:55:33: 
        INFO - 16:55:33: ...   3%|▎         | 3/100 [00:00<00:00, 214.71 it/sec, obj=5]
        INFO - 16:55:33: 
       ERROR - 16:55:33: NLopt run failed: NLopt roundoff-limited, RoundoffLimited
        INFO - 16:55:33: ...   4%|▍         | 4/100 [00:00<00:00, 228.13 it/sec, obj=5]
        INFO - 16:55:33: 
        INFO - 16:55:33: 
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message:  GEMSEO Stopped the driver
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 5
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 4.9999999313496275
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr1 = -15.00000006865037
        INFO - 16:55:33:          cstr2 = -44.299999725398514
        INFO - 16:55:33:          cstr3 = 1.0984059315433115e-06
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | name | lower_bound |       value       | upper_bound | type  |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33:       | x1   |      0      | 4.000000034325185 |      5      | float |
        INFO - 16:55:33:       | x2   |      -5     |         3         |      3      | float |
        INFO - 16:55:33:       +------+-------------+-------------------+-------------+-------+
        INFO - 16:55:33: *** End MDOScenario execution (time: 0:00:00.021154) ***
        INFO - 16:55:33: ... 100%|██████████| 50/50 [00:01<00:00, 25.62 it/sec, obj=100]
        INFO - 16:55:33: Optimization result:
        INFO - 16:55:33:    Optimizer info:
        INFO - 16:55:33:       Status: None
        INFO - 16:55:33:       Message: None
        INFO - 16:55:33:       Number of calls to the objective function by the optimizer: 50
        INFO - 16:55:33:    Solution:
        INFO - 16:55:33:       The solution is feasible.
        INFO - 16:55:33:       Objective: 0.10832777706440924
        INFO - 16:55:33:       Standardized constraints:
        INFO - 16:55:33:          cstr3 = 0.008327777064409236
        INFO - 16:55:33:       Design space: 
        INFO - 16:55:33:       +-------------+-------------+-------+-------------+-------+
        INFO - 16:55:33:       | name        | lower_bound | value | upper_bound | type  |
        INFO - 16:55:33:       +-------------+-------------+-------+-------------+-------+
        INFO - 16:55:33:       | obj1_target |     0.1     |  0.1  |     100     | float |
        INFO - 16:55:33:       +-------------+-------------+-------+-------------+-------+
        INFO - 16:55:33: *** End DOEScenario execution (time: 0:00:01.961586) ***

    <gemseo.post.pareto_front.ParetoFront object at 0x7fbc55821580>




.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  2.288 seconds)


.. _sphx_glr_download_examples_post_process_algorithms_plot_pareto_front_binhkorn_bilevel.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_pareto_front_binhkorn_bilevel.py <plot_pareto_front_binhkorn_bilevel.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_pareto_front_binhkorn_bilevel.ipynb <plot_pareto_front_binhkorn_bilevel.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_