[802] | 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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[815] | 39 | public class UniformCrossover : GPCrossoverBase {
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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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[802] | 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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[832] | 54 | internal override IFunctionTree Cross(IScope scope, TreeGardener gardener, MersenneTwister random, IFunctionTree tree0, IFunctionTree tree1) {
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[815] | 55 | List<CrossoverPoint> allowedCrossOverPoints = new List<CrossoverPoint>();
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| 56 | GetCrossOverPoints(gardener, tree0, tree1, allowedCrossOverPoints);
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[802] | 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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[815] | 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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[802] | 69 |
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[815] | 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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[802] | 90 | } else {
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[815] | 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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[802] | 101 | }
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| 102 | }
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| 103 | }
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[815] | 104 | GetCrossOverPoints(gardener, currentSubTree0, currentSubTree1, crossoverPoints);
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[802] | 105 | }
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| 106 | }
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| 107 |
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[815] | 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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[802] | 113 | }
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| 114 |
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[815] | 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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[802] | 126 |
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[815] | 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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[802] | 155 | }
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[815] | 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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[802] | 160 | }
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| 161 | }
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| 162 | }
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