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 HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HEAL.Attic;
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25 |
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26 | namespace HeuristicLab.Encodings.PermutationEncoding {
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27 | /// <summary>
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28 | /// Manipulates a permutation array by moving randomly one element to another position in the array.
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29 | /// </summary>
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30 | /// <remarks>
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31 | /// It is implemented as described in Fogel, D.B. (1988). An Evolutionary Approach to the Traveling Salesman Problem, Biological Cybernetics, 60, pp. 139-144.
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32 | /// </remarks>
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33 | [Item("InsertionManipulator", "An operator which moves randomly one element to another position in the permutation (Insertion is a special case of Translocation). It is implemented as described in Fogel, D.B. (1988). An Evolutionary Approach to the Traveling Salesman Problem, Biological Cybernetics, 60, pp. 139-144.")]
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34 | [StorableType("E8C09728-ACB7-491B-B87C-BE8E2B5A5B0B")]
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35 | public class InsertionManipulator : PermutationManipulator {
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36 | [StorableConstructor]
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37 | protected InsertionManipulator(StorableConstructorFlag _) : base(_) { }
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38 | protected InsertionManipulator(InsertionManipulator original, Cloner cloner) : base(original, cloner) { }
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39 | public InsertionManipulator() : base() { }
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40 |
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41 | public override IDeepCloneable Clone(Cloner cloner) {
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42 | return new InsertionManipulator(this, cloner);
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43 | }
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44 |
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45 | /// <summary>
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46 | /// Moves an randomly chosen element in the specified <paramref name="permutation"/> array
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47 | /// to another randomly generated position.
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48 | /// </summary>
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49 | /// <param name="random">The random number generator.</param>
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50 | /// <param name="permutation">The permutation to manipulate.</param>
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51 | public static void Apply(IRandom random, Permutation permutation) {
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52 | var cutIndex = random.Next(permutation.Length);
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53 | var insertIndex = random.Next(permutation.Length);
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54 |
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55 | if (cutIndex == insertIndex) return;
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56 |
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57 | permutation.Move(cutIndex, cutIndex, insertIndex);
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58 | }
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59 |
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60 | /// <summary>
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61 | /// Moves an randomly chosen element in the specified <paramref name="permutation"/> array
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62 | /// to another randomly generated position.
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63 | /// </summary>
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64 | /// <remarks>Calls <see cref="Apply"/>.</remarks>
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65 | /// <param name="random">A random number generator.</param>
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66 | /// <param name="permutation">The permutation to manipulate.</param>
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67 | protected override void Manipulate(IRandom random, Permutation permutation) {
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68 | Apply(random, permutation);
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69 | }
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70 | }
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71 | }
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