Save a scenario for post-processing#

from __future__ import annotations

from gemseo import create_design_space
from gemseo import create_discipline
from gemseo import create_scenario

We consider a minimization problem over the interval \([0,1]\) of the \(f(x)=x^2\) objective function:

discipline = create_discipline("AnalyticDiscipline", expressions={"y": "x**2"})

design_space = create_design_space()
design_space.add_variable("x", lower_bound=0.0, upper_bound=1.0)

scenario = create_scenario(
    [discipline], "y", design_space, formulation_name="DisciplinaryOpt"
)

We solve this optimization problem with the gradient-free algorithm COBYLA:

scenario.execute(algo_name="NLOPT_COBYLA", max_iter=10)

Then, we save the results to an HDF5 file for future post-processing:

scenario.save_optimization_history("my_results.hdf")