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 HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Encodings.PermutationEncoding;
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26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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27 |
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28 | namespace HeuristicLab.Encodings.ScheduleEncoding.JobSequenceMatrix {
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29 | [Item("JSMJobbasedOrderCrossover", "Represents a crossover operation swapping subsequences of the parents to generate offspring.")]
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30 | [StorableClass]
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31 | public class JSMJOXCrossover : JSMCrossover {
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32 |
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33 | [StorableConstructor]
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34 | protected JSMJOXCrossover(bool deserializing) : base(deserializing) { }
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35 | protected JSMJOXCrossover(JSMJOXCrossover original, Cloner cloner) : base(original, cloner) { }
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36 | public JSMJOXCrossover() : base() { }
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37 |
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38 | public override IDeepCloneable Clone(Cloner cloner) {
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39 | return new JSMJOXCrossover(this, cloner);
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40 | }
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41 |
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42 | public static JSMEncoding Apply(IRandom random, JSMEncoding p1, JSMEncoding p2) {
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43 | var result = new JSMEncoding();
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44 |
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45 | int nrOfResources = p1.JobSequenceMatrix.Count;
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46 | int nrOfJobs = p1.JobSequenceMatrix[0].Length;
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47 |
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48 | //Determine randomly which jobindexes persist
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49 | var persist = new BoolArray(nrOfJobs);
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50 | for (int i = 0; i < persist.Length; i++) {
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51 | persist[i] = random.Next(2) == 1;
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52 | }
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53 |
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54 | bool dominantParent = random.Next(2) == 1;
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55 | JSMEncoding parent1 = dominantParent ? p1 : p2;
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56 | JSMEncoding parent2 = dominantParent ? p2 : p1;
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57 |
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58 | //Fill childmatrix with values
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59 | for (int resIndex = 0; resIndex < nrOfResources; resIndex++) {
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60 | result.JobSequenceMatrix.Add(new Permutation(PermutationTypes.Absolute, nrOfJobs));
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61 | int parent2index = 0;
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62 | for (int jobIndex = 0; jobIndex < nrOfJobs; jobIndex++) {
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63 | if (persist[parent1.JobSequenceMatrix[resIndex][jobIndex]])
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64 | result.JobSequenceMatrix[resIndex][jobIndex] = parent1.JobSequenceMatrix[resIndex][jobIndex];
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65 | else {
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66 | while (persist[parent2.JobSequenceMatrix[resIndex][parent2index]])
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67 | parent2index++;
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68 | result.JobSequenceMatrix[resIndex][jobIndex] = parent2.JobSequenceMatrix[resIndex][parent2index];
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69 | parent2index++;
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70 | }
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71 | }
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72 | }
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73 |
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74 | return result;
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75 | }
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76 |
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77 | public override JSMEncoding Cross(IRandom random, JSMEncoding parent1, JSMEncoding parent2) {
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78 | return Apply(random, parent1, parent2);
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79 | }
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80 | }
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81 | }
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