[2871] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 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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[3376] | 23 | using HeuristicLab.Common;
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[2871] | 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 26 |
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[3053] | 27 | namespace HeuristicLab.Encodings.PermutationEncoding {
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[2871] | 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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[3017] | 36 | [StorableClass]
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[2871] | 37 | public class CyclicCrossover2 : PermutationCrossover {
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| 38 | /// <summary>
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| 39 | /// Performs a variant of the cyclic crossover on <paramref name="parent1"/> and <paramref name="parent2"/>.
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| 40 | /// </summary>
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| 41 | /// <exception cref="ArgumentException">Thrown when <paramref name="parent1"/> and <paramref name="parent2"/> are not of equal length.</exception>
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| 42 | /// <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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| 43 | /// <remarks>
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| 44 | /// Start at a randomly chosen position x in parent1 and transfer it to the child at the same position.
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| 45 | /// Now this position x is no longer available for the node on position x in parent2, so
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| 46 | /// the value of the node at position x in parent2 is searched in parent1 and is then transferred
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| 47 | /// 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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| 48 | /// This procedure is repeated until it is again at position x, then the cycle is over.<br/>
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| 49 | /// All further positions are copied from the second permutation.
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| 50 | /// </remarks>
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| 51 | /// <exception cref="ArgumentException">Thrown if the two parents are not of equal length.</exception>
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| 52 | /// <param name="random">The random number generator.</param>
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| 53 | /// <param name="parent1">The parent scope 1 to cross over.</param>
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| 54 | /// <param name="parent2">The parent scope 2 to cross over.</param>
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| 55 | /// <returns>The created cross over permutation as int array.</returns>
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| 56 | public static Permutation Apply(IRandom random, Permutation parent1, Permutation parent2) {
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| 57 | if (parent1.Length != parent2.Length) throw new ArgumentException("CyclicCrossover2: The parent permutations are of unequal length.");
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| 58 | int length = parent1.Length;
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| 59 | int[] result = new int[length];
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| 60 | bool[] indexCopied = new bool[length];
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| 61 | int j, number;
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| 62 |
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| 63 | j = random.Next(length); // get number to start cycle
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| 64 | while (!indexCopied[j]) { // copy whole cycle to new permutation
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| 65 | result[j] = parent1[j];
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| 66 | number = parent2[j];
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| 67 | indexCopied[j] = true;
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| 68 |
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| 69 | j = 0;
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| 70 | while ((j < length) && (parent1[j] != number)) { // search copied number in second permutation
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| 71 | j++;
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| 72 | }
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| 73 | }
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| 74 |
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| 75 | for (int i = 0; i < length; i++) { // copy rest of secound permutation to new permutation
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| 76 | if (!indexCopied[i]) {
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| 77 | result[i] = parent2[i];
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| 78 | }
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| 79 | }
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[3231] | 80 | return new Permutation(parent1.PermutationType, result);
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[2871] | 81 | }
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| 82 |
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| 83 | /// <summary>
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| 84 | /// Checks number of parents and calls <see cref="Apply(IRandom, Permutation, Permutation)"/>.
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| 85 | /// </summary>
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| 86 | /// <exception cref="InvalidOperationException">Thrown if there are not exactly two parents.</exception>
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| 87 | /// <param name="random">A random number generator.</param>
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| 88 | /// <param name="parents">An array containing the two permutations that should be crossed.</param>
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| 89 | /// <returns>The newly created permutation, resulting from the crossover operation.</returns>
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| 90 | protected override Permutation Cross(IRandom random, ItemArray<Permutation> parents) {
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| 91 | if (parents.Length != 2) throw new InvalidOperationException("CyclicCrossover2: The number of parents is not equal to 2.");
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| 92 | return Apply(random, parents[0], parents[1]);
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| 93 | }
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| 94 | }
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| 95 | }
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