1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Text;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 |
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28 | namespace HeuristicLab.Permutation {
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29 | /// <summary>
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30 | /// Performs a cross over permutation between two permutation arrays by calculating the edges (neighbours)
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31 | /// of each element. Starts at a randomly chosen position, the next element is a neighbour with the least
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32 | /// number of neighbours, the next again a neighbour and so on.
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33 | /// </summary>
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34 | public class EdgeRecombinationCrossover : PermutationCrossoverBase {
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35 | /// <inheritdoc select="summary"/>
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36 | public override string Description {
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37 | get { return @"TODO\r\nOperator description still missing ..."; }
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38 | }
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39 |
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40 | /// <summary>
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41 | /// Performs a cross over permutation of <paramref name="parent1"/> and <paramref name="2"/>
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42 | /// by calculating the edges of each element. Starts at a randomly chosen position,
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43 | /// the next element is a neighbour with the least
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44 | /// number of neighbours, the next again a neighbour and so on.
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45 | /// </summary>
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46 | /// <exception cref="InvalidOperationException">Thrown when the permutation lacks a number.
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47 | /// </exception>
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48 | /// <param name="random">The random number generator.</param>
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49 | /// <param name="parent1">The parent scope 1 to cross over.</param>
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50 | /// <param name="parent2">The parent scope 2 to cross over.</param>
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51 | /// <returns>The created cross over permutation as int array.</returns>
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52 | public static int[] Apply(IRandom random, int[] parent1, int[] parent2) {
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53 | int length = parent1.Length;
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54 | int[] result = new int[length];
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55 | int[,] edgeList = new int[length, 4];
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56 | bool[] remainingNumbers = new bool[length];
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57 | int index, currentEdge, currentNumber, nextNumber, currentEdgeCount, minEdgeCount;
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58 |
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59 | for (int i = 0; i < length; i++) { // generate edge list for every number
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60 | remainingNumbers[i] = true;
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61 |
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62 | index = 0;
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63 | while ((index < length) && (parent1[index] != i)) { // search edges in parent1
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64 | index++;
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65 | }
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66 | if (index == length) {
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67 | throw (new InvalidOperationException("Permutation doesn't contain number " + i + "."));
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68 | } else {
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69 | edgeList[i, 0] = parent1[(index - 1 + length) % length];
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70 | edgeList[i, 1] = parent1[(index + 1) % length];
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71 | }
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72 | index = 0;
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73 | while ((index < length) && (parent2[index] != i)) { // search edges in parent2
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74 | index++;
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75 | }
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76 | if (index == length) {
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77 | throw (new InvalidOperationException("Permutation doesn't contain number " + i + "."));
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78 | } else {
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79 | currentEdge = parent2[(index - 1 + length) % length];
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80 | if ((edgeList[i, 0] != currentEdge) && (edgeList[i, 1] != currentEdge)) { // new edge found ?
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81 | edgeList[i, 2] = currentEdge;
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82 | } else {
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83 | edgeList[i, 2] = -1;
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84 | }
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85 | currentEdge = parent2[(index + 1) % length];
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86 | if ((edgeList[i, 0] != currentEdge) && (edgeList[i, 1] != currentEdge)) { // new edge found ?
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87 | edgeList[i, 3] = currentEdge;
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88 | } else {
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89 | edgeList[i, 3] = -1;
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90 | }
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91 | }
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92 | }
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93 |
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94 | currentNumber = random.Next(length); // get number to start
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95 | for (int i = 0; i < length; i++) {
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96 | result[i] = currentNumber;
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97 | remainingNumbers[currentNumber] = false;
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98 |
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99 | for (int j = 0; j < 4; j++) { // remove all edges to / from currentNumber
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100 | if (edgeList[currentNumber, j] != -1) {
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101 | for (int k = 0; k < 4; k++) {
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102 | if (edgeList[edgeList[currentNumber, j], k] == currentNumber) {
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103 | edgeList[edgeList[currentNumber, j], k] = -1;
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104 | }
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105 | }
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106 | }
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107 | }
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108 |
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109 | minEdgeCount = 5; // every number hasn't more than 4 edges
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110 | nextNumber = -1;
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111 | for (int j = 0; j < 4; j++) { // find next number with least edges
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112 | if (edgeList[currentNumber, j] != -1) { // next number found
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113 | currentEdgeCount = 0;
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114 | for (int k = 0; k < 4; k++) { // count edges of next number
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115 | if (edgeList[edgeList[currentNumber, j], k] != -1) {
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116 | currentEdgeCount++;
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117 | }
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118 | }
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119 | if ((currentEdgeCount < minEdgeCount) ||
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120 | ((currentEdgeCount == minEdgeCount) && (random.NextDouble() < 0.5))) {
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121 | nextNumber = edgeList[currentNumber, j];
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122 | minEdgeCount = currentEdgeCount;
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123 | }
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124 | }
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125 | }
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126 | currentNumber = nextNumber;
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127 | if (currentNumber == -1) { // current number has no more edge
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128 | index = 0;
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129 | while ((index < length) && (!remainingNumbers[index])) { // choose next remaining number
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130 | index++;
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131 | }
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132 | if (index < length) {
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133 | currentNumber = index;
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134 | }
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135 | }
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136 | }
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137 | return result;
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138 | }
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139 |
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140 | /// <summary>
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141 | /// Performs an edge recombination crossover operation for two given parent permutations.
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142 | /// </summary>
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143 | /// <exception cref="InvalidOperationException">Thrown if there are not exactly two parents.</exception>
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144 | /// <param name="scope">The current scope.</param>
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145 | /// <param name="random">A random number generator.</param>
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146 | /// <param name="parents">An array containing the two permutations that should be crossed.</param>
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147 | /// <returns>The newly created permutation, resulting from the crossover operation.</returns>
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148 | protected override int[] Cross(IScope scope, IRandom random, int[][] parents) {
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149 | if (parents.Length != 2) throw new InvalidOperationException("ERROR in EdgeRecombinationCrossover: The number of parents is not equal to 2");
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150 | return Apply(random, parents[0], parents[1]);
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151 | }
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152 | }
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153 | }
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