[4703] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15583] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[4703] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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[8720] | 22 | using System;
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[4703] | 23 | using HeuristicLab.Analysis;
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[4722] | 24 | using HeuristicLab.Common;
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[4703] | 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Encodings.PermutationEncoding;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[8720] | 28 | using HeuristicLab.PluginInfrastructure;
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[4703] | 29 |
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| 30 | namespace HeuristicLab.Problems.TravelingSalesman {
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[8720] | 31 | // BackwardsCompatibility3.3
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| 32 | #region Backwards compatible code, remove with 3.4
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[4703] | 33 | /// <summary>
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| 34 | /// An operator for analyzing the diversity of solutions of Traveling Salesman Problems given in path representation.
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| 35 | /// </summary>
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[8720] | 36 | [Obsolete]
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| 37 | [NonDiscoverableType]
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[4703] | 38 | [Item("TSPPopulationDiversityAnalyzer", "An operator for analyzing the diversity of solutions of Traveling Salesman Problems given in path representation.")]
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| 39 | [StorableClass]
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| 40 | public sealed class TSPPopulationDiversityAnalyzer : PopulationDiversityAnalyzer<Permutation> {
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| 41 | [StorableConstructor]
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| 42 | private TSPPopulationDiversityAnalyzer(bool deserializing) : base(deserializing) { }
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[4722] | 43 | private TSPPopulationDiversityAnalyzer(TSPPopulationDiversityAnalyzer original, Cloner cloner) : base(original, cloner) { }
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[4703] | 44 | public TSPPopulationDiversityAnalyzer() : base() { }
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| 45 |
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[4722] | 46 | public override IDeepCloneable Clone(Cloner cloner) {
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| 47 | return new TSPPopulationDiversityAnalyzer(this, cloner);
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| 48 | }
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| 49 |
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[4703] | 50 | protected override double[,] CalculateSimilarities(Permutation[] solutions) {
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| 51 | int count = solutions.Length;
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| 52 | double[,] similarities = new double[count, count];
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| 53 | int[][] edges = new int[count][];
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| 54 |
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| 55 | for (int i = 0; i < count; i++)
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| 56 | edges[i] = CalculateEdgesVector(solutions[i]);
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| 57 |
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| 58 | for (int i = 0; i < count; i++) {
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| 59 | similarities[i, i] = 1;
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| 60 | for (int j = i + 1; j < count; j++) {
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| 61 | similarities[i, j] = CalculateSimilarity(edges[i], edges[j]);
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| 62 | similarities[j, i] = similarities[i, j];
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| 63 | }
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| 64 | }
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| 65 | return similarities;
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| 66 | }
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| 67 |
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| 68 | private int[] CalculateEdgesVector(Permutation permutation) {
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| 69 | // transform path representation into adjacency representation
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| 70 | int[] edgesVector = new int[permutation.Length];
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| 71 | for (int i = 0; i < permutation.Length - 1; i++)
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| 72 | edgesVector[permutation[i]] = permutation[i + 1];
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| 73 | edgesVector[permutation[permutation.Length - 1]] = permutation[0];
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| 74 | return edgesVector;
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| 75 | }
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| 76 |
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| 77 | private double CalculateSimilarity(int[] edgesA, int[] edgesB) {
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| 78 | // calculate relative number of identical edges
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| 79 | int identicalEdges = 0;
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| 80 | for (int i = 0; i < edgesA.Length; i++) {
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| 81 | if ((edgesA[i] == edgesB[i]) || (edgesA[edgesB[i]] == i))
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| 82 | identicalEdges++;
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| 83 | }
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| 84 | return ((double)identicalEdges) / edgesA.Length;
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| 85 | }
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| 86 | }
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[8720] | 87 | #endregion
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[4703] | 88 | }
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