#region License Information /* HeuristicLab * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab 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 General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Drawing; using System.IO; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.PermutationEncoding; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.PluginInfrastructure; namespace HeuristicLab.Problems.TravelingSalesman { [Item("Traveling Salesman Problem", "Represents a symmetric Traveling Salesman Problem.")] [Creatable("Problems")] [StorableClass] public sealed class TravelingSalesmanProblem : ParameterizedNamedItem, ISingleObjectiveProblem { public override Image ItemImage { get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; } } #region Parameter Properties public ValueParameter MaximizationParameter { get { return (ValueParameter)Parameters["Maximization"]; } } IParameter ISingleObjectiveProblem.MaximizationParameter { get { return MaximizationParameter; } } public ValueParameter CoordinatesParameter { get { return (ValueParameter)Parameters["Coordinates"]; } } public OptionalValueParameter DistanceMatrixParameter { get { return (OptionalValueParameter)Parameters["DistanceMatrix"]; } } public ValueParameter UseDistanceMatrixParameter { get { return (ValueParameter)Parameters["UseDistanceMatrix"]; } } public ValueParameter SolutionCreatorParameter { get { return (ValueParameter)Parameters["SolutionCreator"]; } } IParameter IProblem.SolutionCreatorParameter { get { return SolutionCreatorParameter; } } public ValueParameter EvaluatorParameter { get { return (ValueParameter)Parameters["Evaluator"]; } } IParameter IProblem.EvaluatorParameter { get { return EvaluatorParameter; } } public OptionalValueParameter BestKnownQualityParameter { get { return (OptionalValueParameter)Parameters["BestKnownQuality"]; } } IParameter ISingleObjectiveProblem.BestKnownQualityParameter { get { return BestKnownQualityParameter; } } public OptionalValueParameter BestKnownSolutionParameter { get { return (OptionalValueParameter)Parameters["BestKnownSolution"]; } } #endregion #region Properties public DoubleMatrix Coordinates { get { return CoordinatesParameter.Value; } set { CoordinatesParameter.Value = value; } } public DoubleMatrix DistanceMatrix { get { return DistanceMatrixParameter.Value; } set { DistanceMatrixParameter.Value = value; } } public BoolValue UseDistanceMatrix { get { return UseDistanceMatrixParameter.Value; } set { UseDistanceMatrixParameter.Value = value; } } public IPermutationCreator SolutionCreator { get { return SolutionCreatorParameter.Value; } set { SolutionCreatorParameter.Value = value; } } ISolutionCreator IProblem.SolutionCreator { get { return SolutionCreatorParameter.Value; } } public ITSPEvaluator Evaluator { get { return EvaluatorParameter.Value; } set { EvaluatorParameter.Value = value; } } ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator { get { return EvaluatorParameter.Value; } } IEvaluator IProblem.Evaluator { get { return EvaluatorParameter.Value; } } public DoubleValue BestKnownQuality { get { return BestKnownQualityParameter.Value; } set { BestKnownQualityParameter.Value = value; } } public Permutation BestKnownSolution { get { return BestKnownSolutionParameter.Value; } set { BestKnownSolutionParameter.Value = value; } } public IEnumerable Operators { get { return operators; } } private BestTSPSolutionAnalyzer BestTSPSolutionAnalyzer { get { return operators.OfType().FirstOrDefault(); } } private TSPPopulationDiversityAnalyzer TSPPopulationDiversityAnalyzer { get { return operators.OfType().FirstOrDefault(); } } #endregion [Storable] private List operators; [StorableConstructor] private TravelingSalesmanProblem(bool deserializing) : base(deserializing) { } public TravelingSalesmanProblem() : base() { RandomPermutationCreator creator = new RandomPermutationCreator(); TSPRoundedEuclideanPathEvaluator evaluator = new TSPRoundedEuclideanPathEvaluator(); Parameters.Add(new ValueParameter("Maximization", "Set to false as the Traveling Salesman Problem is a minimization problem.", new BoolValue(false))); Parameters.Add(new ValueParameter("Coordinates", "The x- and y-Coordinates of the cities.")); Parameters.Add(new OptionalValueParameter("DistanceMatrix", "The matrix which contains the distances between the cities.")); Parameters.Add(new ValueParameter("UseDistanceMatrix", "True if a distance matrix should be calculated and used for evaluation, otherwise false.", new BoolValue(true))); Parameters.Add(new ValueParameter("SolutionCreator", "The operator which should be used to create new TSP solutions.", creator)); Parameters.Add(new ValueParameter("Evaluator", "The operator which should be used to evaluate TSP solutions.", evaluator)); Parameters.Add(new OptionalValueParameter("BestKnownQuality", "The quality of the best known solution of this TSP instance.")); Parameters.Add(new OptionalValueParameter("BestKnownSolution", "The best known solution of this TSP instance.")); Coordinates = new DoubleMatrix(new double[,] { { 100, 100 }, { 100, 200 }, { 100, 300 }, { 100, 400 }, { 200, 100 }, { 200, 200 }, { 200, 300 }, { 200, 400 }, { 300, 100 }, { 300, 200 }, { 300, 300 }, { 300, 400 }, { 400, 100 }, { 400, 200 }, { 400, 300 }, { 400, 400 } }); creator.PermutationParameter.ActualName = "TSPTour"; evaluator.QualityParameter.ActualName = "TSPTourLength"; ParameterizeSolutionCreator(); ParameterizeEvaluator(); InitializeOperators(); AttachEventHandlers(); } public override IDeepCloneable Clone(Cloner cloner) { TravelingSalesmanProblem clone = (TravelingSalesmanProblem)base.Clone(cloner); clone.operators = operators.Select(x => (IOperator)cloner.Clone(x)).ToList(); clone.DistanceMatrixParameter.Value = DistanceMatrixParameter.Value; clone.AttachEventHandlers(); return clone; } #region Events public event EventHandler SolutionCreatorChanged; private void OnSolutionCreatorChanged() { EventHandler handler = SolutionCreatorChanged; if (handler != null) handler(this, EventArgs.Empty); } public event EventHandler EvaluatorChanged; private void OnEvaluatorChanged() { EventHandler handler = EvaluatorChanged; if (handler != null) handler(this, EventArgs.Empty); } public event EventHandler OperatorsChanged; private void OnOperatorsChanged() { EventHandler handler = OperatorsChanged; if (handler != null) handler(this, EventArgs.Empty); } public event EventHandler Reset; private void OnReset() { EventHandler handler = Reset; if (handler != null) handler(this, EventArgs.Empty); } private void CoordinatesParameter_ValueChanged(object sender, EventArgs e) { Coordinates.ItemChanged += new EventHandler>(Coordinates_ItemChanged); Coordinates.Reset += new EventHandler(Coordinates_Reset); ParameterizeSolutionCreator(); ClearDistanceMatrix(); } private void Coordinates_ItemChanged(object sender, EventArgs e) { ClearDistanceMatrix(); } private void Coordinates_Reset(object sender, EventArgs e) { ParameterizeSolutionCreator(); ClearDistanceMatrix(); } private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) { SolutionCreator.PermutationParameter.ActualNameChanged += new EventHandler(SolutionCreator_PermutationParameter_ActualNameChanged); ParameterizeSolutionCreator(); ParameterizeEvaluator(); ParameterizeAnalyzers(); ParameterizeOperators(); OnSolutionCreatorChanged(); } private void SolutionCreator_PermutationParameter_ActualNameChanged(object sender, EventArgs e) { ParameterizeEvaluator(); ParameterizeAnalyzers(); ParameterizeOperators(); } private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) { Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged); ParameterizeEvaluator(); UpdateMoveEvaluators(); ParameterizeAnalyzers(); ClearDistanceMatrix(); OnEvaluatorChanged(); } private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) { ParameterizeAnalyzers(); } private void MoveGenerator_InversionMoveParameter_ActualNameChanged(object sender, EventArgs e) { string name = ((ILookupParameter)sender).ActualName; foreach (IPermutationInversionMoveOperator op in Operators.OfType()) { op.InversionMoveParameter.ActualName = name; } } private void MoveGenerator_TranslocationMoveParameter_ActualNameChanged(object sender, EventArgs e) { string name = ((ILookupParameter)sender).ActualName; foreach (IPermutationTranslocationMoveOperator op in Operators.OfType()) { op.TranslocationMoveParameter.ActualName = name; } } #endregion #region Helpers [StorableHook(HookType.AfterDeserialization)] private void AfterDeserializationHook() { // BackwardsCompatibility3.3 #region Backwards compatible code (remove with 3.4) if (operators == null) InitializeOperators(); #endregion AttachEventHandlers(); } private void AttachEventHandlers() { CoordinatesParameter.ValueChanged += new EventHandler(CoordinatesParameter_ValueChanged); Coordinates.ItemChanged += new EventHandler>(Coordinates_ItemChanged); Coordinates.Reset += new EventHandler(Coordinates_Reset); SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged); SolutionCreator.PermutationParameter.ActualNameChanged += new EventHandler(SolutionCreator_PermutationParameter_ActualNameChanged); EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged); Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged); } private void InitializeOperators() { operators = new List(); operators.Add(new BestTSPSolutionAnalyzer()); operators.Add(new TSPPopulationDiversityAnalyzer()); ParameterizeAnalyzers(); operators.AddRange(ApplicationManager.Manager.GetInstances().Cast()); ParameterizeOperators(); UpdateMoveEvaluators(); InitializeMoveGenerators(); } private void InitializeMoveGenerators() { foreach (IPermutationInversionMoveOperator op in Operators.OfType()) { if (op is IMoveGenerator) { op.InversionMoveParameter.ActualNameChanged += new EventHandler(MoveGenerator_InversionMoveParameter_ActualNameChanged); } } foreach (IPermutationTranslocationMoveOperator op in Operators.OfType()) { if (op is IMoveGenerator) { op.TranslocationMoveParameter.ActualNameChanged += new EventHandler(MoveGenerator_TranslocationMoveParameter_ActualNameChanged); } } } private void UpdateMoveEvaluators() { operators.RemoveAll(x => x is ISingleObjectiveMoveEvaluator); foreach (ITSPPathMoveEvaluator op in ApplicationManager.Manager.GetInstances()) if (op.EvaluatorType == Evaluator.GetType()) { operators.Add(op); } ParameterizeOperators(); OnOperatorsChanged(); } private void ParameterizeSolutionCreator() { SolutionCreator.LengthParameter.Value = new IntValue(Coordinates.Rows); SolutionCreator.PermutationTypeParameter.Value = new PermutationType(PermutationTypes.RelativeUndirected); } private void ParameterizeEvaluator() { if (Evaluator is ITSPPathEvaluator) ((ITSPPathEvaluator)Evaluator).PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; if (Evaluator is ITSPCoordinatesPathEvaluator) { ITSPCoordinatesPathEvaluator evaluator = (ITSPCoordinatesPathEvaluator)Evaluator; evaluator.CoordinatesParameter.ActualName = CoordinatesParameter.Name; evaluator.DistanceMatrixParameter.ActualName = DistanceMatrixParameter.Name; evaluator.UseDistanceMatrixParameter.ActualName = UseDistanceMatrixParameter.Name; } } private void ParameterizeAnalyzers() { BestTSPSolutionAnalyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName; BestTSPSolutionAnalyzer.CoordinatesParameter.ActualName = CoordinatesParameter.Name; BestTSPSolutionAnalyzer.PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; BestTSPSolutionAnalyzer.ResultsParameter.ActualName = "Results"; BestTSPSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name; BestTSPSolutionAnalyzer.BestKnownSolutionParameter.ActualName = BestKnownSolutionParameter.Name; BestTSPSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name; TSPPopulationDiversityAnalyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName; TSPPopulationDiversityAnalyzer.PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; } private void ParameterizeOperators() { foreach (IPermutationCrossover op in Operators.OfType()) { op.ParentsParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; op.ChildParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; } foreach (IPermutationManipulator op in Operators.OfType()) { op.PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; } foreach (IPermutationMoveOperator op in Operators.OfType()) { op.PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; } foreach (ITSPPathMoveEvaluator op in Operators.OfType()) { op.CoordinatesParameter.ActualName = CoordinatesParameter.Name; op.DistanceMatrixParameter.ActualName = DistanceMatrixParameter.Name; op.UseDistanceMatrixParameter.ActualName = UseDistanceMatrixParameter.Name; op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName; op.PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName; } string inversionMove = Operators.OfType().OfType().First().InversionMoveParameter.ActualName; foreach (IPermutationInversionMoveOperator op in Operators.OfType()) op.InversionMoveParameter.ActualName = inversionMove; string translocationMove = Operators.OfType().OfType().First().TranslocationMoveParameter.ActualName; foreach (IPermutationTranslocationMoveOperator op in Operators.OfType()) op.TranslocationMoveParameter.ActualName = translocationMove; } private void ClearDistanceMatrix() { DistanceMatrixParameter.Value = null; } #endregion public void ImportFromTSPLIB(string tspFileName, string optimalTourFileName) { TSPLIBParser tspParser = new TSPLIBParser(tspFileName); tspParser.Parse(); Name = tspParser.Name + " TSP (imported from TSPLIB)"; if (!string.IsNullOrEmpty(tspParser.Comment)) Description = tspParser.Comment; Coordinates = new DoubleMatrix(tspParser.Vertices); if (tspParser.WeightType == TSPLIBParser.TSPLIBEdgeWeightType.EUC_2D) { TSPRoundedEuclideanPathEvaluator evaluator = new TSPRoundedEuclideanPathEvaluator(); evaluator.QualityParameter.ActualName = "TSPTourLength"; Evaluator = evaluator; } else if (tspParser.WeightType == TSPLIBParser.TSPLIBEdgeWeightType.GEO) { TSPGeoPathEvaluator evaluator = new TSPGeoPathEvaluator(); evaluator.QualityParameter.ActualName = "TSPTourLength"; Evaluator = evaluator; } BestKnownQuality = null; BestKnownSolution = null; if (!string.IsNullOrEmpty(optimalTourFileName)) { TSPLIBTourParser tourParser = new TSPLIBTourParser(optimalTourFileName); tourParser.Parse(); if (tourParser.Tour.Length != Coordinates.Rows) throw new InvalidDataException("Length of optimal tour is not equal to number of cities."); BestKnownSolution = new Permutation(PermutationTypes.RelativeUndirected, tourParser.Tour); } OnReset(); } public void ImportFromTSPLIB(string tspFileName, string optimalTourFileName, double bestKnownQuality) { ImportFromTSPLIB(tspFileName, optimalTourFileName); BestKnownQuality = new DoubleValue(bestKnownQuality); } } }