Source code for gemseo.algos.opt.multi_start.settings.multi_start_settings
# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
"""Settings for the multi-start algorithm."""
from __future__ import annotations
from pathlib import Path # noqa: TC003
from pydantic import Field
from pydantic import NonNegativeInt
from pydantic import PositiveInt
from gemseo.algos.opt.base_optimizer_settings import BaseOptimizerSettings
from gemseo.typing import StrKeyMapping # noqa: TC001
[docs]
class MultiStart_Settings(BaseOptimizerSettings): # noqa: N801
"""The multi-start algorithm settings."""
_TARGET_CLASS_NAME = "MultiStart"
normalize_design_space: bool = Field(
default=False,
description=(
"""Whether to normalize the design space variables between 0 and 1."""
),
)
n_start: PositiveInt = Field(
default=5,
description="""The number of sub-optimizations.""",
)
opt_algo_max_iter: NonNegativeInt = Field(
default=0,
description="""The maximum number of iterations for each sub-optimization.
If 0, this number is ``int(max_iter/n_start)``.""",
)
opt_algo_name: str = Field(
default="SLSQP",
description="""The name of the sub-optimization algorithm.""",
)
opt_algo_settings: StrKeyMapping = Field(
default_factory=dict,
description="""The settings of the sub-optimization algorithm.""",
)
doe_algo_name: str = Field(
default="LHS",
description="""The name of the DOE algorithm.
The DOE algorthm is used to generate the sub-optimizations starting points.""",
)
doe_algo_settings: StrKeyMapping = Field(
default_factory=dict,
description="""The settings of the DOE algorithm.""",
)
multistart_file_path: str | Path = Field(
default="",
description="""The database file path to save the local optima.
If empty, do not save the local optima.""",
)
n_processes: PositiveInt = Field(
default=1,
description=(
"The maximum number of processes used to parallelize the sub-optimizations."
),
)