Multi-start optimization#

The optimization algorithm multistart generates starting points using a DOE algorithm and run a sub-optimization algorithm from each starting point.

from __future__ import annotations

from gemseo import create_design_space
from gemseo import create_discipline
from gemseo import create_scenario
from gemseo import execute_post
from gemseo.algos.opt.multi_start.settings.multi_start_settings import (
    MultiStart_Settings,
)

First, we create the disciplines

objective = create_discipline("AnalyticDiscipline", expressions={"obj": "x**3-x+1"})
constraint = create_discipline(
    "AnalyticDiscipline", expressions={"cstr": "x**2+obj**2-1.5"}
)

and the design space

design_space = create_design_space()
design_space.add_variable("x", lower_bound=-1.5, upper_bound=1.5, value=1.5)

Then, we define the MDO scenario

scenario = create_scenario(
    [objective, constraint],
    "obj",
    design_space,
    formulation_name="DisciplinaryOpt",
)

Note that the formulation settings passed to create_scenario() can be provided via a Pydantic model. For more information, see Formulation Settings.

scenario.add_constraint("cstr", constraint_type="ineq")

and execute it with the MultiStart optimization algorithm combining the local optimization algorithm SLSQP and the full-factorial DOE algorithm:

multistart_settings = MultiStart_Settings(
    max_iter=100,
    opt_algo_name="SLSQP",
    doe_algo_name="PYDOE_FULLFACT",
    n_start=10,
    # Set multistart_file_path to save the history of the local optima.
    multistart_file_path="multistart.hdf5",
)
scenario.execute(multistart_settings)
   INFO - 16:25:02: *** Start MDOScenario execution ***
   INFO - 16:25:02: MDOScenario
   INFO - 16:25:02:    Disciplines: AnalyticDiscipline AnalyticDiscipline
   INFO - 16:25:02:    MDO formulation: DisciplinaryOpt
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound | Value | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    |  1.5  |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm MultiStart:
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound | Value | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    |  -1.5 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 610.44 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 913.89 it/sec, feas=False, obj=-0.267]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1133.09 it/sec, feas=False, obj=-0.809]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1259.36 it/sec, feas=False, obj=-0.868]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1236.16 it/sec, feas=False, obj=-0.872]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1220.69 it/sec, feas=False, obj=-0.265]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1214.23 it/sec, feas=False, obj=0.136]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1268.50 it/sec, feas=False, obj=0.579]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1259.47 it/sec, feas=False, obj=0.289]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1304.40 it/sec, feas=False, obj=1.25]
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
WARNING - 16:25:02:       The solution is not feasible.
   INFO - 16:25:02:       Objective: 0.2888129873625884
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = 0.1513713660745195
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | -1.252181466244097 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    | -1.166666666666667 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 862.49 it/sec, feas=False, obj=0.579]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 989.11 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1204.22 it/sec, feas=False, obj=-0.267]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1323.86 it/sec, feas=False, obj=-0.809]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1421.99 it/sec, feas=False, obj=-0.868]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1380.01 it/sec, feas=False, obj=-0.874]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1344.82 it/sec, feas=False, obj=-0.266]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1321.30 it/sec, feas=False, obj=0.135]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1371.53 it/sec, feas=False, obj=0.577]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1353.79 it/sec, feas=False, obj=0.288]
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
WARNING - 16:25:02:       The solution is not feasible.
   INFO - 16:25:02:       Objective: 0.28811314244670916
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = 0.15144075010172386
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | -1.252370379421043 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+---------------------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound |        Value        | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+---------------------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    | -0.8333333333333334 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+---------------------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 864.09 it/sec, feas=False, obj=1.25]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 1192.24 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1199.63 it/sec, feas=False, obj=1.01]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1319.07 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1286.99 it/sec, feas=False, obj=0.819]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1354.97 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1330.32 it/sec, feas=False, obj=0.693]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1385.52 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1361.35 it/sec, feas=False, obj=0.584]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1403.48 it/sec, feas=False, obj=-0.875]
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
WARNING - 16:25:02:       The solution is not feasible.
   INFO - 16:25:02:       Objective: 0.5837798748832244
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = 0.19806414473664136
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | -1.165017254128868 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound | Value | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    |  -0.5 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 870.73 it/sec, feas=False, obj=1.38]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 1218.21 it/sec, feas=False, obj=2.88]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1217.86 it/sec, feas=False, obj=1.23]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1328.68 it/sec, feas=False, obj=2.87]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1282.19 it/sec, feas=True, obj=0.848]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1208.21 it/sec, feas=True, obj=0.658]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1167.54 it/sec, feas=True, obj=0.643]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1138.48 it/sec, feas=True, obj=0.616]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1116.40 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1102.84 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
   INFO - 16:25:02:       The solution is feasible.
   INFO - 16:25:02:       Objective: 0.6150998219543254
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = -0.788285881879476
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | 0.5773788419679762 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+---------------------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound |        Value        | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+---------------------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    | -0.1666666666666667 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+---------------------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 878.94 it/sec, feas=True, obj=1.16]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 1220.69 it/sec, feas=False, obj=2.87]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1174.66 it/sec, feas=True, obj=0.785]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1223.01 it/sec, feas=False, obj=2.88]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1157.24 it/sec, feas=True, obj=0.644]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1125.13 it/sec, feas=True, obj=0.624]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1100.17 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1081.56 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1070.76 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1060.99 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
   INFO - 16:25:02:       The solution is feasible.
   INFO - 16:25:02:       Objective: 0.6150998205402495
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = -0.7883188793606977
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | 0.5773502675245377 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    | 0.1666666666666667 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 867.67 it/sec, feas=True, obj=0.838]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 1192.92 it/sec, feas=False, obj=2.88]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1206.99 it/sec, feas=True, obj=0.656]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1130.08 it/sec, feas=True, obj=0.639]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1088.36 it/sec, feas=True, obj=0.616]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1068.48 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1058.06 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1050.12 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1041.66 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
   INFO - 16:25:02:       The solution is feasible.
   INFO - 16:25:02:       Objective: 0.6150998205402495
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = -0.7883188774386114
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | 0.5773502691891133 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound | Value | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    |  0.5  |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 870.73 it/sec, feas=True, obj=0.625]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 1199.57 it/sec, feas=False, obj=2.87]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1212.93 it/sec, feas=True, obj=0.616]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1141.07 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1096.89 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1071.75 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1059.32 it/sec, feas=True, obj=0.615]
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Successive iterates of the objective function are closer than ftol_rel or ftol_abs. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
   INFO - 16:25:02:       The solution is feasible.
   INFO - 16:25:02:       Objective: 0.6150998205402495
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = -0.78831887743932
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | 0.5773502691884995 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    | 0.8333333333333335 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 861.78 it/sec, feas=True, obj=0.745]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 998.29 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1216.09 it/sec, feas=False, obj=-0.267]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1260.69 it/sec, feas=False, obj=-0.809]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1357.12 it/sec, feas=False, obj=-0.868]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1321.04 it/sec, feas=False, obj=-0.874]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1303.27 it/sec, feas=False, obj=-0.266]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1288.52 it/sec, feas=False, obj=0.135]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1336.66 it/sec, feas=False, obj=0.577]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1325.13 it/sec, feas=False, obj=0.288]
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
   INFO - 16:25:02:       The solution is feasible.
   INFO - 16:25:02:       Objective: 0.7453703703703706
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = -0.2499785665294918
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | 0.8333333333333335 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+-------------------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound |       Value       | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+-------------------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    | 1.166666666666667 |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+-------------------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     10%|█         | 1/10 [00:00<00:00, 862.85 it/sec, feas=False, obj=1.42]
   INFO - 16:25:02:     20%|██        | 2/10 [00:00<00:00, 1012.87 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     30%|███       | 3/10 [00:00<00:00, 1218.33 it/sec, feas=False, obj=-0.267]
   INFO - 16:25:02:     40%|████      | 4/10 [00:00<00:00, 1347.35 it/sec, feas=False, obj=-0.809]
   INFO - 16:25:02:     50%|█████     | 5/10 [00:00<00:00, 1436.01 it/sec, feas=False, obj=-0.868]
   INFO - 16:25:02:     60%|██████    | 6/10 [00:00<00:00, 1386.78 it/sec, feas=False, obj=-0.874]
   INFO - 16:25:02:     70%|███████   | 7/10 [00:00<00:00, 1357.25 it/sec, feas=False, obj=-0.266]
   INFO - 16:25:02:     80%|████████  | 8/10 [00:00<00:00, 1343.47 it/sec, feas=False, obj=0.135]
   INFO - 16:25:02:     90%|█████████ | 9/10 [00:00<00:00, 1388.03 it/sec, feas=False, obj=0.577]
   INFO - 16:25:02:    100%|██████████| 10/10 [00:00<00:00, 1365.07 it/sec, feas=False, obj=0.288]
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
WARNING - 16:25:02:       The solution is not feasible.
   INFO - 16:25:02:       Objective: 0.28811314244698893
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = 0.1514407501016959
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | -1.252370379420967 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:02: Optimization problem:
   INFO - 16:25:02:    minimize obj(x)
   INFO - 16:25:02:    with respect to x
   INFO - 16:25:02:    under the inequality constraints
   INFO - 16:25:02:       cstr(x) <= 0
   INFO - 16:25:02:    over the design space:
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | Name | Lower bound | Value | Upper bound | Type  |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02:       | x    |     -1.5    |  1.5  |     1.5     | float |
   INFO - 16:25:02:       +------+-------------+-------+-------------+-------+
   INFO - 16:25:02: Solving optimization problem with algorithm SLSQP:
   INFO - 16:25:02:     11%|█         | 1/9 [00:00<00:00, 858.43 it/sec, feas=False, obj=2.88]
   INFO - 16:25:02:     22%|██▏       | 2/9 [00:00<00:00, 994.62 it/sec, feas=False, obj=-0.875]
   INFO - 16:25:02:     33%|███▎      | 3/9 [00:00<00:00, 1211.64 it/sec, feas=False, obj=-0.267]
   INFO - 16:25:02:     44%|████▍     | 4/9 [00:00<00:00, 1332.90 it/sec, feas=False, obj=-0.809]
   INFO - 16:25:02:     56%|█████▌    | 5/9 [00:00<00:00, 1431.50 it/sec, feas=False, obj=-0.868]
   INFO - 16:25:02:     67%|██████▋   | 6/9 [00:00<00:00, 1389.15 it/sec, feas=False, obj=-0.874]
   INFO - 16:25:02:     78%|███████▊  | 7/9 [00:00<00:00, 1353.25 it/sec, feas=False, obj=-0.266]
   INFO - 16:25:02:     89%|████████▉ | 8/9 [00:00<00:00, 1329.31 it/sec, feas=False, obj=0.135]
   INFO - 16:25:02:    100%|██████████| 9/9 [00:00<00:00, 1378.55 it/sec, feas=False, obj=0.577]
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
   INFO - 16:25:02: Optimization result:
   INFO - 16:25:02:    Optimizer info:
   INFO - 16:25:02:       Status: None
   INFO - 16:25:02:       Message: Maximum number of iterations reached. GEMSEO stopped the driver.
   INFO - 16:25:02:    Solution:
WARNING - 16:25:02:       The solution is not feasible.
   INFO - 16:25:02:       Objective: 0.13490034433852438
   INFO - 16:25:02:       Standardized constraints:
   INFO - 16:25:02:          cstr = 0.1877267982258064
   INFO - 16:25:02:       Design space:
   INFO - 16:25:02:          +------+-------------+-------------------+-------------+-------+
   INFO - 16:25:02:          | Name | Lower bound |       Value       | Upper bound | Type  |
   INFO - 16:25:02:          +------+-------------+-------------------+-------------+-------+
   INFO - 16:25:02:          | x    |     -1.5    | -1.29210243221006 |     1.5     | float |
   INFO - 16:25:02:          +------+-------------+-------------------+-------------+-------+
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
WARNING - 16:25:02: Optimization found no feasible point; the least infeasible point is selected.
WARNING - 16:25:03: Optimization found no feasible point; the least infeasible point is selected.
WARNING - 16:25:03: Optimization found no feasible point; the least infeasible point is selected.
   INFO - 16:25:03: Exporting the optimization problem to the file multistart.hdf5
   INFO - 16:25:03:      1%|          | 1/100 [00:00<00:11,  8.50 it/sec, feas=False, obj=0.577]
   INFO - 16:25:03: Optimization result:
   INFO - 16:25:03:    Optimizer info:
   INFO - 16:25:03:       Status: None
   INFO - 16:25:03:       Message: None
   INFO - 16:25:03:    Solution:
   INFO - 16:25:03:       The solution is feasible.
   INFO - 16:25:03:       Objective: 0.6150998205402495
   INFO - 16:25:03:       Standardized constraints:
   INFO - 16:25:03:          cstr = -0.7883188793606977
   INFO - 16:25:03:       Design space:
   INFO - 16:25:03:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:03:          | Name | Lower bound |       Value        | Upper bound | Type  |
   INFO - 16:25:03:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:03:          | x    |     -1.5    | 0.5773502675245377 |     1.5     | float |
   INFO - 16:25:03:          +------+-------------+--------------------+-------------+-------+
   INFO - 16:25:03: *** End MDOScenario execution ***

Lastly, we can plot the history of the objective, either by concatenating the 10 sub-optimization histories:

execute_post(
    scenario, post_name="BasicHistory", variable_names=["obj"], save=False, show=True
)
History plot
<gemseo.post.basic_history.BasicHistory object at 0x72a4f23a9790>

or by filtering the local optima (one per starting point):

execute_post(
    "multistart.hdf5",
    post_name="BasicHistory",
    variable_names=["obj"],
    save=False,
    show=True,
)
History plot
    INFO - 16:25:03: Importing the optimization problem from the file multistart.hdf5

<gemseo.post.basic_history.BasicHistory object at 0x72a4d5866fc0>

Total running time of the script: (0 minutes 0.352 seconds)

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