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 HeuristicLab.Core;
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23 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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24 |
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25 | namespace HeuristicLab.Encodings.PermutationEncoding {
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26 | /// <summary>
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27 | /// An operator which inverts a randomly chosen part of a permutation.
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28 | /// </summary>
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29 | /// <remarks>
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30 | /// It is implemented as described in Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg.<br />
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31 | /// </remarks>
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32 | [Item("InversionManipulator", "An operator which inverts a randomly chosen part of a permutation. It is implemented as described in Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg.")]
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33 | [StorableClass]
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34 | public class InversionManipulator : PermutationManipulator {
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35 | /// <summary>
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36 | /// Inverts a randomly chosen part of a permutation.
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37 | /// </summary>
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38 | /// <param name="random">A random number generator.</param>
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39 | /// <param name="permutation">The permutation to manipulate.</param>
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40 | public static void Apply(IRandom random, Permutation permutation) {
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41 | int breakPoint1, breakPoint2;
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42 |
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43 | breakPoint1 = random.Next(permutation.Length - 1);
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44 | do {
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45 | breakPoint2 = random.Next(permutation.Length - 1);
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46 | } while (breakPoint2 == breakPoint1);
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47 | if (breakPoint2 < breakPoint1) { int h = breakPoint1; breakPoint1 = breakPoint2; breakPoint2 = h; }
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48 | Apply(permutation, breakPoint1, breakPoint2);
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49 | }
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50 |
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51 | public static void Apply(Permutation permutation, int breakPoint1, int breakPoint2) {
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52 | for (int i = 0; i <= (breakPoint2 - breakPoint1) / 2; i++) { // invert permutation between breakpoints
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53 | int temp = permutation[breakPoint1 + i];
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54 | permutation[breakPoint1 + i] = permutation[breakPoint2 - i];
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55 | permutation[breakPoint2 - i] = temp;
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56 | }
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57 | }
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58 |
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59 | /// <summary>
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60 | /// Inverts a randomly chosen part of a permutation.
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61 | /// </summary>
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62 | /// <param name="random">A random number generator.</param>
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63 | /// <param name="permutation">The permutation to manipulate.</param>
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64 | protected override void Manipulate(IRandom random, Permutation permutation) {
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65 | Apply(random, permutation);
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66 | }
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67 | }
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68 | }
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