[2] | 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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[850] | 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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[2] | 33 | public class MaximalPreservativeCrossover : PermutationCrossoverBase {
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[850] | 34 | /// <inheritdoc select="summary"/>
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[2] | 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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[850] | 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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[2] | 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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[850] | 79 | /// <summary>
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| 80 | /// Performs a cross over permutation of <paramref name="parent1"/> and <paramref name="parent2"/>
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| 81 | /// by preserving a big randomly chosen region of one permutation and taking the missing ones from the other
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| 82 | /// permuation array.
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| 83 | /// </summary>
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| 84 | /// <remarks>Calls <see cref="Apply"/>.</remarks>
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| 85 | /// <param name="scope">The current scope.</param>
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| 86 | /// <param name="random">The random number generator.</param>
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| 87 | /// <param name="parent1">The permutation array of parent 1.</param>
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| 88 | /// <param name="parent2">The permutation array of parent 2.</param>
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| 89 | /// <returns>The created cross over permutation as int array.</returns>
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[2] | 90 | protected override int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2) {
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| 91 | return Apply(random, parent1, parent2);
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| 92 | }
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| 93 | }
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| 94 | }
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