discrete_optimization.lotsizing.generic_solver.dp package

Submodules

discrete_optimization.lotsizing.generic_solver.dp.generic_dp_solver module

class discrete_optimization.lotsizing.generic_solver.dp.generic_dp_solver.GenericLotSizingDp(problem: GenericLotSizingProblem, params_objective_function: ParamsObjectiveFunction | None = None, **kwargs)

Bases: DpSolver, WarmstartMixin

add_additional_dual_bounds: bool = False

add_dual_bounds() → None

Add multiple dual bounds to guide the search.

Each bound provides a different perspective on the remaining cost, giving the solver more information for pruning.

add_transition_dominance: bool = False

allow_backorder: bool = False

force_unmet_zero: bool = True

init_model(**kwargs: Any) → None

Initialize internal model used to solve.

Can initialize a ortools, milp, gurobi, … model.

lookahead_demand: int = 5

max_backorder: int = 5

penalty_advance_time: int = 500000

problem: GenericLotSizingProblem

retrieve_solution(sol: Solution) → ProductionBasedSolution

set_warm_start(solution: ProductionBasedSolution) → None

Make the solver warm start from the given solution.

transition_schedule()

Module contents