# Copyright (c) 2022 AIRBUS and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from discrete_optimization.generic_tools.do_solver import SolverDO
from discrete_optimization.generic_tools.ea.alternating_ga import AlternatingGa
from discrete_optimization.generic_tools.ea.ga_tools import ParametersAltGa
from discrete_optimization.rcpsp.rcpsp_model import RCPSPModel
[docs]
class GA_MSRCPSP_Solver(SolverDO):
problem: RCPSPModel
[docs]
def solve(
self, parameters_ga: ParametersAltGa = ParametersAltGa.default_msrcpsp(), **args
):
ga_solver = AlternatingGa(
problem=self.problem,
encodings=parameters_ga.encodings,
objective_handling=parameters_ga.objective_handling,
objectives=parameters_ga.objectives,
objective_weights=parameters_ga.objective_weights,
mutations=parameters_ga.mutations,
selections=parameters_ga.selections,
crossovers=parameters_ga.crossovers,
max_evals=parameters_ga.max_evals,
sub_evals=parameters_ga.sub_evals,
pop_size=parameters_ga.pop_size,
mut_rate=parameters_ga.mut_rate,
crossover_rate=parameters_ga.crossover_rate,
tournament_size=parameters_ga.tournament_size,
deap_verbose=parameters_ga.deap_verbose,
)
return ga_solver.solve()