#region License Information /* HeuristicLab * Copyright (C) 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.Analysis; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.PermutationEncoding; using HeuristicLab.Parameters; using HEAL.Attic; namespace HeuristicLab.Problems.TravelingSalesman { /// /// An operator for analyzing the frequency of alleles in solutions of Traveling Salesman Problems given in path representation. /// [Item("TSPAlleleFrequencyAnalyzer", "An operator for analyzing the frequency of alleles in solutions of Traveling Salesman Problems given in path representation.")] [StorableType("C1BBEC5A-27EF-4882-AEC6-0919FC2EF1DB")] public sealed class TSPAlleleFrequencyAnalyzer : AlleleFrequencyAnalyzer { public LookupParameter CoordinatesParameter { get { return (LookupParameter)Parameters["Coordinates"]; } } public LookupParameter DistanceMatrixParameter { get { return (LookupParameter)Parameters["DistanceMatrix"]; } } [StorableConstructor] private TSPAlleleFrequencyAnalyzer(StorableConstructorFlag _) : base(_) { } private TSPAlleleFrequencyAnalyzer(TSPAlleleFrequencyAnalyzer original, Cloner cloner) : base(original, cloner) { } public TSPAlleleFrequencyAnalyzer() : base() { Parameters.Add(new LookupParameter("Coordinates", "The x- and y-coordinates of the cities.")); Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities.")); } public override IDeepCloneable Clone(Cloner cloner) { return new TSPAlleleFrequencyAnalyzer(this, cloner); } protected override Allele[] CalculateAlleles(Permutation solution) { Allele[] alleles = new Allele[solution.Length]; DoubleMatrix coords = CoordinatesParameter.ActualValue; DistanceMatrix dm = DistanceMatrixParameter.ActualValue; if (dm == null && coords == null) throw new InvalidOperationException("Neither a distance matrix nor coordinates were given."); int source, target, h; double impact; for (int i = 0; i < solution.Length - 1; i++) { source = solution[i]; target = solution[i + 1]; if (source > target) { h = source; source = target; target = h; } impact = dm != null ? dm[source, target] : CalculateLength(coords[source, 0], coords[source, 1], coords[target, 0], coords[target, 1]); alleles[i] = new Allele(source.ToString() + "-" + target.ToString(), impact); } source = solution[solution.Length - 1]; target = solution[0]; if (source > target) { h = source; source = target; target = h; } impact = dm != null ? dm[source, target] : CalculateLength(coords[source, 0], coords[source, 1], coords[target, 0], coords[target, 1]); alleles[alleles.Length - 1] = new Allele(source.ToString() + "-" + target.ToString(), impact); return alleles; } private double CalculateLength(double x1, double y1, double x2, double y2) { return Math.Sqrt((x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2)); } } }