1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 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 slight variant of the order crossover on two permutations.
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30 | /// </summary>
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31 | /// <remarks>
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32 | /// It is implemented as described in Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 135.<br />
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33 | /// Crosses two permutations by copying a randomly chosen interval from the first permutation, preserving
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34 | /// the positions. But then, instead of starting from the end of the copied interval, the missing values are copied from the start of the permutation in the order they occur.
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35 | /// </remarks>
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36 | [Item("OrderCrossover2", "An operator which performs an order crossover of 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. 135.")]
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37 | [StorableType("9E9A828E-E853-43FD-A39B-F47D17BCE539")]
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38 | public class OrderCrossover2 : PermutationCrossover {
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39 | [StorableConstructor]
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40 | protected OrderCrossover2(StorableConstructorFlag _) : base(_) { }
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41 | protected OrderCrossover2(OrderCrossover2 original, Cloner cloner) : base(original, cloner) { }
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42 | public OrderCrossover2() : base() { }
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43 |
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44 | public override IDeepCloneable Clone(Cloner cloner) {
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45 | return new OrderCrossover2(this, cloner);
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46 | }
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47 |
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48 | /// <summary>
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49 | /// Performs a slight variation of the order crossover of two permutations.
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50 | /// </summary>
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51 | /// <exception cref="ArgumentException">Thrown when <paramref name="parent1"/> and <paramref name="parent2"/> are not of equal length.</exception>
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52 | /// <remarks>
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53 | /// Crosses two permutations by copying a randomly chosen interval from the first permutation, preserving
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54 | /// the positions. Then, from the beginning of the permutation, copies the missing values from the second permutation
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55 | /// in the order they occur.
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56 | /// </remarks>
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57 | /// <param name="random">A random number generator.</param>
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58 | /// <param name="parent1">The first parent permutation to cross.</param>
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59 | /// <param name="parent2">The second parent permutation to cross.</param>
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60 | /// <returns>The new permutation resulting from the crossover.</returns>
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61 | public static Permutation Apply(IRandom random, Permutation parent1, Permutation parent2) {
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62 | if (parent1.Length != parent2.Length) throw new ArgumentException("OrderCrossover2: The parent permutations are of unequal length.");
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63 | int[] result = new int[parent1.Length];
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64 | bool[] copied = new bool[result.Length];
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65 |
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66 | int breakPoint1 = random.Next(result.Length - 1);
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67 | int breakPoint2 = random.Next(breakPoint1 + 1, result.Length);
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68 |
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69 | for (int i = breakPoint1; i <= breakPoint2; i++) { // copy part of first permutation
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70 | result[i] = parent1[i];
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71 | copied[parent1[i]] = true;
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72 | }
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73 |
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74 | int index = 0;
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75 | for (int i = 0; i < parent2.Length; i++) { // copy remaining part of second permutation
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76 | if (index == breakPoint1) { // skip already copied part
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77 | index = breakPoint2 + 1;
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78 | }
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79 | if (!copied[parent2[i]]) {
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80 | result[index] = parent2[i];
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81 | index++;
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82 | }
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83 | }
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84 | return new Permutation(parent1.PermutationType, result);
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85 | }
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86 |
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87 | /// <summary>
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88 | /// Checks number of parents and calls <see cref="Apply(IRandom, Permutation, Permutation)"/>.
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89 | /// </summary>
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90 | /// <exception cref="InvalidOperationException">Thrown if there are not exactly two parents.</exception>
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91 | /// <param name="random">A random number generator.</param>
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92 | /// <param name="parents">An array containing the two permutations that should be crossed.</param>
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93 | /// <returns>The new permutation resulting from the crossover.</returns>
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94 | protected override Permutation Cross(IRandom random, ItemArray<Permutation> parents) {
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95 | if (parents.Length != 2) throw new InvalidOperationException("OrderCrossover2: Number of parents is not equal to 2.");
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96 | return Apply(random, parents[0], parents[1]);
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97 | }
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98 | }
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99 | }
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