1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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 HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HEAL.Attic;
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26 |
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27 | namespace HeuristicLab.Encodings.PermutationEncoding {
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28 | /// <summary>
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29 | /// An operator which performs a variant of the cyclic crossover on two permutations.
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30 | /// </summary>
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31 | /// <remarks>It is implemented as described in Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 136.<br />
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32 | /// The operator first selects a random position in the permutation and from that position copies the first cycle to the offspring.
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33 | /// Then all empty positions are filled from the second parent.
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34 | /// </remarks>
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35 | [Item("CyclicCrossover2", "An operator which performs the cyclic crossover on two permutations. It is implemented as described in Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 136.")]
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36 | [StorableType("B1550E88-0F0B-452F-94EC-F457761A58F3")]
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37 | public class CyclicCrossover2 : PermutationCrossover {
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38 | [StorableConstructor]
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39 | protected CyclicCrossover2(StorableConstructorFlag _) : base(_) { }
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40 | protected CyclicCrossover2(CyclicCrossover2 original, Cloner cloner) : base(original, cloner) { }
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41 | public CyclicCrossover2() : base() { }
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42 |
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43 | public override IDeepCloneable Clone(Cloner cloner) {
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44 | return new CyclicCrossover2(this, cloner);
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45 | }
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46 |
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47 | /// <summary>
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48 | /// Performs a variant of the cyclic crossover on <paramref name="parent1"/> and <paramref name="parent2"/>.
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49 | /// </summary>
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50 | /// <exception cref="ArgumentException">Thrown when <paramref name="parent1"/> and <paramref name="parent2"/> are not of equal length.</exception>
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51 | /// <exception cref="InvalidOperationException">Thrown if the numbers in the permutation elements are not in the range [0;N) with N = length of the permutation.</exception>
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52 | /// <remarks>
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53 | /// Start at a randomly chosen position x in parent1 and transfer it to the child at the same position.
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54 | /// Now this position x is no longer available for the node on position x in parent2, so
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55 | /// the value of the node at position x in parent2 is searched in parent1 and is then transferred
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56 | /// to the child preserving the position. Now this new position y is no longer available for the node in parent2 and so on.<br/>
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57 | /// This procedure is repeated until it is again at position x, then the cycle is over.<br/>
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58 | /// All further positions are copied from the second permutation.
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59 | /// </remarks>
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60 | /// <exception cref="ArgumentException">Thrown if the two parents are not of equal length.</exception>
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61 | /// <param name="random">The random number generator.</param>
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62 | /// <param name="parent1">The parent scope 1 to cross over.</param>
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63 | /// <param name="parent2">The parent scope 2 to cross over.</param>
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64 | /// <returns>The created cross over permutation as int array.</returns>
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65 | public static Permutation Apply(IRandom random, Permutation parent1, Permutation parent2) {
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66 | if (parent1.Length != parent2.Length) throw new ArgumentException("CyclicCrossover2: The parent permutations are of unequal length.");
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67 | int length = parent1.Length;
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68 | int[] result = new int[length];
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69 | bool[] indexCopied = new bool[length];
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70 | int j, number;
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71 |
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72 | j = random.Next(length); // get number to start cycle
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73 | while (!indexCopied[j]) { // copy whole cycle to new permutation
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74 | result[j] = parent1[j];
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75 | number = parent2[j];
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76 | indexCopied[j] = true;
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77 |
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78 | j = 0;
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79 | while ((j < length) && (parent1[j] != number)) { // search copied number in second permutation
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80 | j++;
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81 | }
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82 | }
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83 |
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84 | for (int i = 0; i < length; i++) { // copy rest of secound permutation to new permutation
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85 | if (!indexCopied[i]) {
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86 | result[i] = parent2[i];
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87 | }
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88 | }
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89 | return new Permutation(parent1.PermutationType, result);
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90 | }
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91 |
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92 | /// <summary>
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93 | /// Checks number of parents and calls <see cref="Apply(IRandom, Permutation, Permutation)"/>.
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94 | /// </summary>
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95 | /// <exception cref="InvalidOperationException">Thrown if there are not exactly two parents.</exception>
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96 | /// <param name="random">A random number generator.</param>
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97 | /// <param name="parents">An array containing the two permutations that should be crossed.</param>
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98 | /// <returns>The newly created permutation, resulting from the crossover operation.</returns>
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99 | protected override Permutation Cross(IRandom random, ItemArray<Permutation> parents) {
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100 | if (parents.Length != 2) throw new InvalidOperationException("CyclicCrossover2: The number of parents is not equal to 2.");
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101 | return Apply(random, parents[0], parents[1]);
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102 | }
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103 | }
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104 | }
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