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.Linq;
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25 | using System.Text;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Operators;
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28 | using HeuristicLab.Random;
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29 | using HeuristicLab.Data;
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30 | using HeuristicLab.Constraints;
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31 | using System.Diagnostics;
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32 |
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33 | namespace HeuristicLab.GP {
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34 | /// <summary>
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35 | /// Implementation of a homologous uniform crossover operator as described in:
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36 | /// R. Poli and W. B. Langdon. On the Search Properties of Different Crossover Operators in Genetic Programming.
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37 | /// In Proceedings of Genetic Programming '98, Madison, Wisconsin, 1998.
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38 | /// </summary>
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39 | public class UniformCrossover : SizeConstrictedGPCrossoverBase {
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40 | // internal datastructure to represent crossover points
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41 | private class CrossoverPoint {
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42 | public IFunctionTree Parent0;
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43 | public IFunctionTree Parent1;
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44 | public int ChildIndex;
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45 | public bool IsInternal;
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46 | }
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47 |
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48 | public override string Description {
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49 | get {
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50 | return @"Uniform crossover as defined by Poli and Langdon";
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51 | }
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52 | }
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53 |
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54 | internal override IFunctionTree Cross(TreeGardener gardener, IRandom random, IFunctionTree tree0, IFunctionTree tree1, int maxTreeSize, int maxTreeHeight) {
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55 | List<CrossoverPoint> allowedCrossOverPoints = new List<CrossoverPoint>();
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56 | GetCrossOverPoints(gardener, tree0, tree1, allowedCrossOverPoints);
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57 | // iterate through the list of crossover points and swap nodes with p=0.5
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58 | foreach (CrossoverPoint crossoverPoint in allowedCrossOverPoints) {
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59 | if (random.NextDouble() < 0.5) {
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60 | if (crossoverPoint.IsInternal) {
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61 | ExchangeNodes(crossoverPoint);
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62 | } else {
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63 | SwapSubtrees(crossoverPoint);
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64 | }
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65 | }
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66 | }
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67 | return tree0;
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68 | }
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69 |
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70 | private void GetCrossOverPoints(TreeGardener gardener, IFunctionTree branch0, IFunctionTree branch1, List<CrossoverPoint> crossoverPoints) {
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71 | if (branch0.SubTrees.Count != branch1.SubTrees.Count) return; // branches have to have same number of sub-trees to be valid crossover points
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72 | // iterate over all sub-trees
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73 | for (int i = 0; i < branch0.SubTrees.Count; i++) {
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74 | IFunctionTree currentSubTree0 = branch0.SubTrees[i];
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75 | IFunctionTree currentSubTree1 = branch1.SubTrees[i];
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76 | // when the current sub-tree in branch1 can be attached as a child of branch0
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77 | // and the sub-tree of branch0 can be attached as child of branch1.
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78 | // note: we have to check both cases because either branch0 or branch1 can end up in the result tree
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79 | if (gardener.GetAllowedSubFunctions(branch0.Function, i).Contains(currentSubTree1.Function) &&
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80 | gardener.GetAllowedSubFunctions(branch1.Function, i).Contains(currentSubTree0.Function)) {
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81 | // and the sub-tree is at the border of the common region
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82 | if (currentSubTree0.SubTrees.Count != currentSubTree1.SubTrees.Count) {
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83 | // then we have found a valid crossover point
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84 | CrossoverPoint p = new CrossoverPoint();
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85 | p.ChildIndex = i;
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86 | p.Parent0 = branch0;
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87 | p.Parent1 = branch1;
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88 | p.IsInternal = false;
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89 | crossoverPoints.Add(p);
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90 | } else {
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91 | // when the sub-trees are not on the border of the common region
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92 | // we also have to check if the children of the current sub-trees of branch0 and branch1 can be exchanged
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93 | if (CanHaveSubTrees(gardener, currentSubTree0, currentSubTree1.SubTrees) &&
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94 | CanHaveSubTrees(gardener, currentSubTree1, currentSubTree0.SubTrees)) {
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95 | CrossoverPoint p = new CrossoverPoint();
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96 | p.ChildIndex = i;
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97 | p.Parent0 = branch0;
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98 | p.Parent1 = branch1;
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99 | p.IsInternal = true;
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100 | crossoverPoints.Add(p);
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101 | }
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102 | }
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103 | }
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104 | GetCrossOverPoints(gardener, currentSubTree0, currentSubTree1, crossoverPoints);
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105 | }
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106 | }
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107 |
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108 | private bool CanHaveSubTrees(TreeGardener gardener, IFunctionTree parent, IList<IFunctionTree> subTrees) {
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109 | for (int i = 0; i < subTrees.Count; i++) {
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110 | if (!gardener.GetAllowedSubFunctions(parent.Function, i).Contains(subTrees[i].Function)) return false;
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111 | }
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112 | return true;
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113 | }
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114 |
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115 | private void ExchangeNodes(CrossoverPoint crossoverPoint) {
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116 | IFunctionTree parent0 = crossoverPoint.Parent0;
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117 | IFunctionTree parent1 = crossoverPoint.Parent1;
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118 | int childIndex = crossoverPoint.ChildIndex;
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119 | IFunctionTree branch0 = crossoverPoint.Parent0.SubTrees[childIndex];
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120 | IFunctionTree branch1 = crossoverPoint.Parent1.SubTrees[childIndex];
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121 | // exchange the branches in the parent
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122 | parent0.RemoveSubTree(childIndex);
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123 | parent0.InsertSubTree(childIndex, branch1);
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124 | parent1.RemoveSubTree(childIndex);
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125 | parent1.InsertSubTree(childIndex, branch0);
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126 |
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127 | ExchangeChildren(branch0, branch1);
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128 | }
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129 |
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130 | private void SwapSubtrees(CrossoverPoint crossoverPoint) {
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131 | IFunctionTree parent0 = crossoverPoint.Parent0;
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132 | IFunctionTree parent1 = crossoverPoint.Parent1;
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133 | int childIndex = crossoverPoint.ChildIndex;
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134 | IFunctionTree branch0 = crossoverPoint.Parent0.SubTrees[childIndex];
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135 | IFunctionTree branch1 = crossoverPoint.Parent1.SubTrees[childIndex];
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136 | // insert branch1 into parent0 replacing branch0
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137 | parent0.RemoveSubTree(childIndex);
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138 | parent0.InsertSubTree(childIndex, branch1);
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139 | // insert branch0 into parent1 replacing branch1
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140 | parent1.RemoveSubTree(childIndex);
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141 | parent1.InsertSubTree(childIndex, branch0);
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142 | }
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143 |
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144 | private void ExchangeChildren(IFunctionTree branch0, IFunctionTree branch1) {
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145 | List<IFunctionTree> branch0Children = new List<IFunctionTree>(branch0.SubTrees); // lists to backup subtrees
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146 | List<IFunctionTree> branch1Children = new List<IFunctionTree>(branch1.SubTrees);
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147 |
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148 | // remove children of branch0 and branch1
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149 | while (branch1.SubTrees.Count > 0) branch1.RemoveSubTree(0);
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150 | while (branch0.SubTrees.Count > 0) branch0.RemoveSubTree(0);
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151 |
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152 | // add original children of branch0 to branch1
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153 | foreach (IFunctionTree subTree in branch0Children) {
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154 | branch1.AddSubTree(subTree);
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155 | }
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156 | // add original children of branch1 to branch0
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157 | foreach (IFunctionTree subTree in branch1Children) {
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158 | branch0.AddSubTree(subTree);
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159 | }
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160 | }
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161 | }
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162 | }
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