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 one point crossover operator as described in:
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36 | /// W. B. Langdon and R. Poli. Foundations of Genetic Programming. Springer-Verlag, 2002.
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37 | /// </summary>
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38 | public class OnePointCrossOver : GPCrossoverBase {
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39 | // internal data structure to represent crossover points
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40 | private class CrossoverPoint {
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41 | public IFunctionTree parent0;
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42 | public IFunctionTree parent1;
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43 | public int childIndex;
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44 | }
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45 | public override string Description {
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46 | get {
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47 | return @"";
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48 | }
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49 | }
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50 |
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51 | internal override IFunctionTree Cross(IScope scope, TreeGardener gardener, MersenneTwister random, IFunctionTree tree0, IFunctionTree tree1) {
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52 | List<CrossoverPoint> allowedCrossOverPoints = new List<CrossoverPoint>();
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53 | GetCrossOverPoints(gardener, tree0, tree1, allowedCrossOverPoints);
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54 | if (allowedCrossOverPoints.Count > 0) {
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55 | CrossoverPoint crossOverPoint = allowedCrossOverPoints[random.Next(allowedCrossOverPoints.Count)];
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56 | IFunctionTree parent0 = crossOverPoint.parent0;
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57 | IFunctionTree branch1 = crossOverPoint.parent1.SubTrees[crossOverPoint.childIndex];
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58 | parent0.RemoveSubTree(crossOverPoint.childIndex);
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59 | parent0.InsertSubTree(crossOverPoint.childIndex, branch1);
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60 | }
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61 | return tree0;
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62 | }
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63 |
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64 | private void GetCrossOverPoints(TreeGardener gardener, IFunctionTree branch0, IFunctionTree branch1, List<CrossoverPoint> crossoverPoints) {
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65 | if (branch0.SubTrees.Count != branch1.SubTrees.Count) return;
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66 |
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67 | for (int i = 0; i < branch0.SubTrees.Count; i++) {
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68 | // if the current branch can be attached as a sub-tree to branch0
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69 | if (gardener.GetAllowedSubFunctions(branch0.Function, i).Contains(branch1.SubTrees[i].Function)) {
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70 | CrossoverPoint p = new CrossoverPoint();
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71 | p.childIndex = i;
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72 | p.parent0 = branch0;
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73 | p.parent1 = branch1;
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74 | crossoverPoints.Add(p);
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75 | }
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76 | GetCrossOverPoints(gardener, branch0.SubTrees[i], branch1.SubTrees[i], crossoverPoints);
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77 | }
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78 | }
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79 | }
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80 | }
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