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 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.IntegerVectorEncoding { |
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28 | /// <summary> |
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29 | /// Discrete crossover for integer vectors. |
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30 | /// </summary> |
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31 | /// |
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32 | /// It is implemented as described in Gwiazda, T.D. 2006. Genetic algorithms reference Volume I Crossover for single-objective numerical optimization problems, p.17. |
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33 | /// </remarks> |
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34 | [Item("DiscreteCrossover", "Discrete crossover for integer vectors. It is implemented as described in Gwiazda, T.D. 2006. Genetic algorithms reference Volume I Crossover for single-objective numerical optimization problems, p.17.")] |
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35 | [StorableType("64C79AA5-1D77-4CF4-A19B-9646F270E4D8")] |
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36 | public class DiscreteCrossover : IntegerVectorCrossover { |
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37 | [StorableConstructor] |
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38 | protected DiscreteCrossover(StorableConstructorFlag _) : base(_) { } |
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39 | protected DiscreteCrossover(DiscreteCrossover original, Cloner cloner) : base(original, cloner) { } |
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40 | public DiscreteCrossover() : base() { } |
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41 | |
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42 | public override IDeepCloneable Clone(Cloner cloner) { |
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43 | return new DiscreteCrossover(this, cloner); |
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44 | } |
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45 | |
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46 | /// <summary> |
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47 | /// Performs a discrete crossover operation of any number of given parents. |
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48 | /// </summary> |
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49 | /// <exception cref="ArgumentException">Thrown when the vectors of the parents are of different length or when there are less than 2 parents.</exception> |
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50 | /// <param name="random">A random number generator.</param> |
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51 | /// <param name="parents">The list of parents for the crossover operation.</param> |
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52 | /// <returns>The newly created integer vector, resulting from the crossover operation.</returns> |
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53 | public static IntegerVector Apply(IRandom random, ItemArray<IntegerVector> parents) { |
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54 | if (parents.Length < 2) throw new ArgumentException("DiscreteCrossover: There are less than two parents to cross."); |
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55 | int length = parents[0].Length; |
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56 | |
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57 | for (int i = 0; i < parents.Length; i++) { |
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58 | if (parents[i].Length != length) |
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59 | throw new ArgumentException("DiscreteCrossover: The parents' vectors are of different length.", "parents"); |
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60 | } |
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61 | |
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62 | var result = new IntegerVector(length); |
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63 | for (int i = 0; i < length; i++) { |
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64 | result[i] = parents[random.Next(parents.Length)][i]; |
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65 | } |
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66 | |
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67 | return result; |
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68 | } |
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69 | |
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70 | /// <summary> |
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71 | /// Performs a discrete crossover operation for any number of given parent integer vectors. |
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72 | /// </summary> |
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73 | /// <param name="random">A random number generator.</param> |
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74 | /// <param name="parents">An array containing integer vectors that should be crossed.</param> |
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75 | /// <returns>The newly created integer vector, resulting from the crossover operation.</returns> |
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76 | protected override IntegerVector Cross(IRandom random, ItemArray<IntegerVector> parents) { |
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77 | return Apply(random, parents); |
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78 | } |
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79 | } |
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80 | } |
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