# 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 typing import Any
from discrete_optimization.generic_tools.do_solver import ResultStorage
from discrete_optimization.vrp.solver.vrp_solver import SolverVrp
from discrete_optimization.vrp.vrp_model import VrpProblem, trivial_solution
[docs]
class GreedyVRPSolver(SolverVrp):
[docs]
def solve(self, **kwargs: Any) -> ResultStorage:
sol, _ = trivial_solution(self.problem)
fit = self.aggreg_from_sol(sol)
return ResultStorage(
list_solution_fits=[(sol, fit)],
mode_optim=self.params_objective_function.sense_function,
)