#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.PermutationEncoding; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Operators; using HeuristicLab.Optimization; namespace HeuristicLab.Problems.PTSP { /// /// A base class for operators which evaluate TSP solutions. /// [Item("PTSPMoveEvaluator", "A base class for operators which evaluate TSP moves.")] [StorableClass] public abstract class PTSPMoveEvaluator : SingleSuccessorOperator, IPTSPMoveEvaluator, IMoveOperator { public abstract Type EvaluatorType { get; } public override bool CanChangeName { get { return false; } } public ILookupParameter PermutationParameter { get { return (ILookupParameter)Parameters["Permutation"]; } } public ILookupParameter CoordinatesParameter { get { return (ILookupParameter)Parameters["Coordinates"]; } } public ILookupParameter DistanceMatrixParameter { get { return (ILookupParameter)Parameters["DistanceMatrix"]; } } public ILookupParameter UseDistanceMatrixParameter { get { return (ILookupParameter)Parameters["UseDistanceMatrix"]; } } public IValueParameter>> RealizationsParameter { get { return (IValueParameter>>)Parameters["Realizations"]; } } public ILookupParameter QualityParameter { get { return (ILookupParameter)Parameters["Quality"]; } } public ILookupParameter MoveQualityParameter { get { return (ILookupParameter)Parameters["MoveQuality"]; } } [StorableConstructor] protected PTSPMoveEvaluator(bool deserializing) : base(deserializing) { } protected PTSPMoveEvaluator(PTSPMoveEvaluator original, Cloner cloner) : base(original, cloner) { } protected PTSPMoveEvaluator() : base() { Parameters.Add(new LookupParameter("Permutation", "The solution as permutation.")); Parameters.Add(new LookupParameter("Coordinates", "The city's coordinates.")); Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities.")); Parameters.Add(new LookupParameter("UseDistanceMatrix", "True if a distance matrix should be calculated (if it does not exist already) and used for evaluation, otherwise false.")); Parameters.Add(new ValueParameter>>("Realizations", "The concrete...")); Parameters.Add(new LookupParameter("Quality", "The quality of a TSP solution.")); Parameters.Add(new LookupParameter("MoveQuality", "The evaluated quality of a move on a TSP solution.")); } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { // BackwardsCompatibility3.3 #region Backwards compatible code (remove with 3.4) LookupParameter oldDistanceMatrixParameter = Parameters["DistanceMatrix"] as LookupParameter; if (oldDistanceMatrixParameter != null) { Parameters.Remove(oldDistanceMatrixParameter); Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities.")); DistanceMatrixParameter.ActualName = oldDistanceMatrixParameter.ActualName; } #endregion } public override IOperation Apply() { Permutation permutation = PermutationParameter.ActualValue; DoubleMatrix coordinates = CoordinatesParameter.ActualValue; double relativeQualityDifference = 0; if (UseDistanceMatrixParameter.ActualValue.Value) { DistanceMatrix distanceMatrix = DistanceMatrixParameter.ActualValue; if (distanceMatrix == null) { if (coordinates == null) throw new InvalidOperationException("Neither a distance matrix nor coordinates were given."); distanceMatrix = CalculateDistanceMatrix(coordinates); DistanceMatrixParameter.ActualValue = distanceMatrix; } relativeQualityDifference = EvaluateByDistanceMatrix(permutation, distanceMatrix); } else { if (coordinates == null) throw new InvalidOperationException("No coordinates were given."); relativeQualityDifference = EvaluateByCoordinates(permutation, coordinates); } DoubleValue moveQuality = MoveQualityParameter.ActualValue; if (moveQuality == null) MoveQualityParameter.ActualValue = new DoubleValue(QualityParameter.ActualValue.Value + relativeQualityDifference); else moveQuality.Value = QualityParameter.ActualValue.Value + relativeQualityDifference; return base.Apply(); } protected abstract double CalculateDistance(double x1, double y1, double x2, double y2); protected abstract double EvaluateByDistanceMatrix(Permutation permutation, DistanceMatrix distanceMatrix); protected abstract double EvaluateByCoordinates(Permutation permutation, DoubleMatrix coordinates); private DistanceMatrix CalculateDistanceMatrix(DoubleMatrix c) { DistanceMatrix distanceMatrix = new DistanceMatrix(c.Rows, c.Rows); for (int i = 0; i < distanceMatrix.Rows; i++) { for (int j = 0; j < distanceMatrix.Columns; j++) distanceMatrix[i, j] = CalculateDistance(c[i, 0], c[i, 1], c[j, 0], c[j, 1]); } return (DistanceMatrix)distanceMatrix.AsReadOnly(); } } }