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

.. only:: html

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

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

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

.. _sphx_glr_examples_doe_plot_sobieski_doe_disc_example.py:


Simple disciplinary DOE example on the Sobieski SSBJ test case
==============================================================

.. GENERATED FROM PYTHON SOURCE LINES 26-36

.. code-block:: default

    from __future__ import division, unicode_literals

    from matplotlib import pyplot as plt

    from gemseo.api import configure_logger, create_discipline, create_scenario
    from gemseo.problems.sobieski.core import SobieskiProblem

    configure_logger()






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

 Out:

 .. code-block:: none


    <RootLogger root (INFO)>



.. GENERATED FROM PYTHON SOURCE LINES 37-39

Instantiate the discipline
--------------------------

.. GENERATED FROM PYTHON SOURCE LINES 39-41

.. code-block:: default

    discipline = create_discipline("SobieskiMission")








.. GENERATED FROM PYTHON SOURCE LINES 42-44

Create the design space
-----------------------

.. GENERATED FROM PYTHON SOURCE LINES 44-47

.. code-block:: default

    design_space = SobieskiProblem().read_design_space()
    design_space.filter(["y_24", "y_34"])





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

 Out:

 .. code-block:: none


    <gemseo.algos.design_space.DesignSpace object at 0x7fb7553f4b50>



.. GENERATED FROM PYTHON SOURCE LINES 48-52

Create the scenario
-----------------------
Build scenario which links the disciplines with the formulation and
The DOE algorithm.

.. GENERATED FROM PYTHON SOURCE LINES 52-61

.. code-block:: default

    scenario = create_scenario(
        [discipline],
        formulation="DisciplinaryOpt",
        objective_name="y_4",
        design_space=design_space,
        maximize_objective=True,
        scenario_type="DOE",
    )








.. GENERATED FROM PYTHON SOURCE LINES 62-65

Execute the scenario
-----------------------
Here we use a latin hypercube sampling algorithm with 30 samples.

.. GENERATED FROM PYTHON SOURCE LINES 65-67

.. code-block:: default

    scenario.execute({"n_samples": 30, "algo": "lhs"})





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

 Out:

 .. code-block:: none

        INFO - 12:56:25:  
        INFO - 12:56:25: *** Start DOE Scenario execution ***
        INFO - 12:56:25: DOEScenario
        INFO - 12:56:25:    Disciplines: SobieskiMission
        INFO - 12:56:25:    MDOFormulation: DisciplinaryOpt
        INFO - 12:56:25:    Algorithm: lhs
        INFO - 12:56:25: Optimization problem:
        INFO - 12:56:25:    Minimize: -y_4(y_24, y_34)
        INFO - 12:56:25:    With respect to: y_24, y_34
        INFO - 12:56:25: DOE sampling:   0%|          | 0/30 [00:00<?, ?it]
        INFO - 12:56:25: DOE sampling: 100%|██████████| 30/30 [00:00<00:00, 1765.38 it/sec, obj=2.73e+3]
        INFO - 12:56:25: Optimization result:
        INFO - 12:56:25: Objective value = 2726.3660548732214
        INFO - 12:56:25: The result is feasible.
        INFO - 12:56:25: Status: None
        INFO - 12:56:25: Optimizer message: None
        INFO - 12:56:25: Number of calls to the objective function by the optimizer: 30
        INFO - 12:56:25: Design space:
        INFO - 12:56:25: +------+-------------+--------------------+-------------+-------+
        INFO - 12:56:25: | name | lower_bound |       value        | upper_bound | type  |
        INFO - 12:56:25: +------+-------------+--------------------+-------------+-------+
        INFO - 12:56:25: | y_24 |     0.44    | 9.094543945649603  |    11.13    | float |
        INFO - 12:56:25: | y_34 |     0.44    | 0.4769766573300308 |     1.98    | float |
        INFO - 12:56:25: +------+-------------+--------------------+-------------+-------+
        INFO - 12:56:25: *** DOE Scenario run terminated ***

    {'eval_jac': False, 'algo': 'lhs', 'n_samples': 30}



.. GENERATED FROM PYTHON SOURCE LINES 68-70

Plot optimization history view
------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 70-72

.. code-block:: default

    scenario.post_process("OptHistoryView", save=False, show=False)




.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /examples/doe/images/sphx_glr_plot_sobieski_doe_disc_example_001.png
          :alt: Evolution of the optimization variables
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/doe/images/sphx_glr_plot_sobieski_doe_disc_example_002.png
          :alt: Evolution of the objective value
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/doe/images/sphx_glr_plot_sobieski_doe_disc_example_003.png
          :alt: Distance to the optimum
          :class: sphx-glr-multi-img


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

 Out:

 .. code-block:: none


    <gemseo.post.opt_history_view.OptHistoryView object at 0x7fb75543aee0>



.. GENERATED FROM PYTHON SOURCE LINES 73-75

Plot parallel coordinates
-------------------------

.. GENERATED FROM PYTHON SOURCE LINES 75-80

.. code-block:: default

    scenario.post_process(
        "ScatterPlotMatrix", save=False, show=False, variables_list=["y_4", "y_24", "y_34"]
    )
    # Workaround for HTML rendering, instead of ``show=True``
    plt.show()



.. image:: /examples/doe/images/sphx_glr_plot_sobieski_doe_disc_example_004.png
    :alt: plot sobieski doe disc example
    :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  1.332 seconds)


.. _sphx_glr_download_examples_doe_plot_sobieski_doe_disc_example.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

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