1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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.Collections.Generic;
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23 | using System.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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27 | using HeuristicLab.Persistence;
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28 |
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29 | namespace HeuristicLab.Encodings.ScheduleEncoding.PermutationWithRepetition {
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30 | [Item("PWRPPXCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")]
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31 | [StorableType("03fff36b-d5de-4982-a4ad-dff2febe3ca5")]
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32 | public class PWRPPXCrossover : PWRCrossover {
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33 |
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34 | [StorableConstructor]
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35 | protected PWRPPXCrossover(StorableConstructorFlag deserializing) : base(deserializing) { }
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36 | protected PWRPPXCrossover(PWRPPXCrossover original, Cloner cloner) : base(original, cloner) { }
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37 | public PWRPPXCrossover() : base() { }
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38 |
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39 | public override IDeepCloneable Clone(Cloner cloner) {
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40 | return new PWRPPXCrossover(this, cloner);
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41 | }
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42 |
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43 | public static PWREncoding Apply(IRandom random, PWREncoding parent1, PWREncoding parent2) {
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44 | var result = new PWREncoding();
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45 | var p1 = ((IntegerVector)(parent1.PermutationWithRepetition.Clone())).ToList();
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46 | var p2 = ((IntegerVector)(parent2.PermutationWithRepetition.Clone())).ToList();
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47 | var child = new List<int>();
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48 |
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49 | var lookUpTable = new bool[parent1.PermutationWithRepetition.Length];
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50 | for (int i = 0; i < lookUpTable.Length; i++) {
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51 | lookUpTable[i] = random.Next(2) == 1;
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52 | }
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53 |
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54 | foreach (bool b in lookUpTable) {
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55 | if (b) {
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56 | child.Add(p1[0]);
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57 | p2.Remove(p1[0]);
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58 | p1.RemoveAt(0);
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59 | } else {
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60 | child.Add(p2[0]);
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61 | p1.Remove(p2[0]);
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62 | p2.RemoveAt(0);
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63 | }
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64 | }
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65 |
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66 | result.PermutationWithRepetition = new IntegerVector(child.ToArray());
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67 |
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68 | return result;
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69 | }
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70 |
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71 | public override PWREncoding Cross(IRandom random, PWREncoding parent1, PWREncoding parent2) {
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72 | return Apply(random, parent1, parent2);
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73 | }
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74 |
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75 | }
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76 | }
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