LotSizingDataModel.Solution.Common Namespace Reference

Classes
class	AlgorithmParameter
	Represents one named parameter used by a solution-generation method. More...

Enumerations
enum	FeasibilityStatus { NotEvaluated , PartiallyEvaluated , Feasible , Infeasible }
	Indicates the evaluated feasibility status of a lot-sizing solution candidate. More...
enum	OptimalityStatus { NotEvaluated , NoProof , ProvenOptimal }
	Indicates the available information about the optimality of a lot-sizing solution. More...
enum	SolutionCompleteness { Unknown , Partial , Complete }
	Indicates whether a lot-sizing solution contains all decision values expected for its associated instance. More...
enum	SolutionMethodKind {   Unknown , ExactOptimization , ConstructiveHeuristic , LocalSearch ,   Metaheuristic , Matheuristic , SimulationOptimization , MachineLearning ,   Manual , Imported , Other }
	Identifies the general type of method used to generate a lot-sizing solution. More...
enum	TerminationReason {   Unknown , Completed , OptimalityProven , TargetReached ,   TimeLimit , IterationLimit , EvaluationLimit , NoImprovement ,   ResourceLimit , UserInterrupted , Error }
	Identifies the reason why a solution-generation execution was terminated. More...

Enumeration Type Documentation

FeasibilityStatus

enum LotSizingDataModel.Solution.Common.FeasibilityStatus

Indicates the evaluated feasibility status of a lot-sizing solution candidate.

This status describes whether the solution satisfies the constraints of its associated instance. It is independent of the method used to generate the solution and of any optimality information.

Enumerator
NotEvaluated	The solution has not been evaluated for feasibility.
PartiallyEvaluated	Only part of the solution constraints has been evaluated. No conclusion can be drawn about the complete feasibility of the solution.
Feasible	Every evaluated constraint is satisfied and the solution has been declared feasible.
Infeasible	At least one constraint is violated and the solution has been declared infeasible.

Definition at line 18 of file FeasibilityStatus.cs.

OptimalityStatus

enum LotSizingDataModel.Solution.Common.OptimalityStatus

Indicates the available information about the optimality of a lot-sizing solution.

A feasible solution is not necessarily optimal. Heuristic and metaheuristic methods generally produce solutions without an optimality proof.

Enumerator
NotEvaluated	The solution has not been evaluated from an optimality perspective.
NoProof	No proof of optimality is available for the solution. The solution may still be feasible and of high quality.
ProvenOptimal	The solution has been proven optimal for the associated mathematical model.

Definition at line 17 of file OptimalityStatus.cs.

SolutionCompleteness

enum LotSizingDataModel.Solution.Common.SolutionCompleteness

Indicates whether a lot-sizing solution contains all decision values expected for its associated instance.

Completeness is independent of feasibility and optimality. A complete solution may be infeasible, while a partial solution may contain valid values for the decisions that are present.

Enumerator
Unknown	The completeness of the solution has not been evaluated.
Partial	Only part of the decision values expected for the associated instance is available.
Complete	Every decision value expected for the associated instance is available.

Definition at line 17 of file SolutionCompleteness.cs.

SolutionMethodKind

enum LotSizingDataModel.Solution.Common.SolutionMethodKind

Identifies the general type of method used to generate a lot-sizing solution.

This classification is independent of any specific solver, software implementation or algorithm.

Enumerator
Unknown	The solution-generation method is unknown or has not been specified.
ExactOptimization	An exact mathematical optimization method, such as branch-and-bound or branch-and-cut.
ConstructiveHeuristic	A constructive heuristic that progressively builds a solution from an initially empty or partial state.
LocalSearch	A local-search method that improves an existing solution by exploring neighboring solutions.
Metaheuristic	A metaheuristic such as tabu search, simulated annealing, variable-neighborhood search or a genetic algorithm.
Matheuristic	A method combining mathematical optimization and heuristic components.
SimulationOptimization	A method based on simulation or simulation-driven optimization.
MachineLearning	A method based primarily on machine learning, reinforcement learning or learned decision rules.
Manual	A solution entered, constructed or modified manually.
Imported	A solution imported from an external file, application or benchmark repository.
Other	A solution-generation method that does not fit any of the other categories.

Definition at line 16 of file SolutionMethodKind.cs.

TerminationReason

enum LotSizingDataModel.Solution.Common.TerminationReason

Identifies the reason why a solution-generation execution was terminated.

The termination reason is independent of the feasibility, completeness and optimality of the generated solution.

Enumerator
Unknown	The termination reason is unknown or was not recorded.
Completed	The method completed its normal execution.
OptimalityProven	The method terminated after proving that the retained solution is optimal.
TargetReached	The method terminated because a predefined target objective value or solution quality was reached.
TimeLimit	The method terminated because its maximum authorized execution time was reached.
IterationLimit	The method terminated because its maximum number of iterations was reached.
EvaluationLimit	The method terminated because its maximum number of solution or objective evaluations was reached.
NoImprovement	The method terminated because no improvement was observed during a specified number of iterations or during a specified duration.
ResourceLimit	The method terminated because a generic computational resource limit was reached, such as a memory, node or processing limit.
UserInterrupted	The execution was interrupted explicitly by a user or by the calling application.
Error	The execution terminated because of an unexpected technical or algorithmic error.

Definition at line 16 of file TerminationReason.cs.