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 permuation arrays by preserving a preferably big
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31 | /// region from one permutation array.
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32 | /// </summary>
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33 | public class MaximalPreservativeCrossover : PermutationCrossoverBase {
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34 | /// <inheritdoc select="summary"/>
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35 | public override string Description {
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36 | get { return @"TODO\r\nOperator description still missing ..."; }
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37 | }
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38 |
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39 | /// <summary>
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40 | /// Performs a cross over permutation of <paramref name="parent1"/> and <paramref name="parent2"/>
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41 | /// by preserving a preferably big randomly chosen region of one permutation and taking
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42 | /// the missing ones from the other permuation array.
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43 | /// </summary>
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44 | /// <param name="random">The random number generator.</param>
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45 | /// <param name="parent1">The permutation array of parent 1.</param>
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46 | /// <param name="parent2">The permutation array of parent 2.</param>
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47 | /// <returns>The created cross over permutation as int array.</returns>
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48 | public static int[] Apply(IRandom random, int[] parent1, int[] parent2) {
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49 | int length = parent1.Length;
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50 | int[] result = new int[length];
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51 | bool[] numberCopied = new bool[length];
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52 | int breakPoint1, breakPoint2, subsegmentLength, index;
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53 |
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54 | if (length >= 20) { // length of subsegment must be >= 10 and <= length / 2
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55 | breakPoint1 = random.Next(length - 9);
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56 | subsegmentLength = random.Next(10, Math.Min((int)(length / 2), length - breakPoint1) + 1);
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57 | breakPoint2 = breakPoint1 + subsegmentLength - 1;
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58 | } else {
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59 | breakPoint1 = random.Next(length - 1);
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60 | breakPoint2 = random.Next(breakPoint1 + 1, length);
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61 | }
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62 |
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63 | index = 0;
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64 | for (int i = breakPoint1; i <= breakPoint2; i++) { // copy part of first permutation
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65 | result[index] = parent1[i];
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66 | numberCopied[result[index]] = true;
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67 | index++;
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68 | }
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69 |
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70 | for (int i = 0; i < parent2.Length; i++) { // copy remaining part of second permutation
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71 | if (!numberCopied[parent2[i]]) {
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72 | result[index] = parent2[i];
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73 | index++;
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74 | }
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75 | }
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76 | return result;
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77 | }
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78 |
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79 | /// <summary>
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80 | /// Performs a maximal preservative crossover operation for two given parent permutations.
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81 | /// </summary>
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82 | /// <exception cref="InvalidOperationException">Thrown if there are not exactly two parents.</exception>
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83 | /// <param name="scope">The current scope.</param>
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84 | /// <param name="random">A random number generator.</param>
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85 | /// <param name="parents">An array containing the two permutations that should be crossed.</param>
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86 | /// <returns>The newly created permutation, resulting from the crossover operation.</returns>
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87 | protected override int[] Cross(IScope scope, IRandom random, int[][] parents) {
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88 | if (parents.Length != 2) throw new InvalidOperationException("ERROR in MaximalPreservativeCrossover: The number of parents is not equal to 2");
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89 | return Apply(random, parents[0], parents[1]);
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90 | }
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91 | }
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92 | }
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