1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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.Collections;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 | using HeuristicLab.Problems.BinPacking.Interfaces;
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29 |
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30 | namespace HeuristicLab.Encodings.PackingEncoding.MultiComponentVector {
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31 | [Item("Sequence Based Multi Component Vector Crossover", "An operator which crosses two MultiComponentVector representations. The applied strategy is based on the SBX crossover proposed by Potvin.")]
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32 | [StorableClass]
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33 | public class SequenceBasedMultiComponentVectorCrossover : MultiComponentVectorCrossover {
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34 | [StorableConstructor]
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35 | protected SequenceBasedMultiComponentVectorCrossover (bool deserializing) : base(deserializing) { }
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36 | protected SequenceBasedMultiComponentVectorCrossover (SequenceBasedMultiComponentVectorCrossover original, Cloner cloner) : base(original, cloner) { }
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37 | public SequenceBasedMultiComponentVectorCrossover ()
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38 | : base() {
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39 | }
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40 | public override IDeepCloneable Clone(Cloner cloner) {
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41 | return new SequenceBasedMultiComponentVectorCrossover (this, cloner);
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42 | }
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43 |
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44 | public override MultiComponentVectorEncoding Cross(IRandom random, MultiComponentVectorEncoding parent1, MultiComponentVectorEncoding parent2) {
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45 | MultiComponentVectorEncoding child = new MultiComponentVectorEncoding();
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46 | int nrOfItems = parent1.NrOfItems;
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47 | bool[] itemAlreadyAssigned = new bool[nrOfItems];
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48 |
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49 | bool useParent2 = false;
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50 | int nrOfBins = parent1.NrOfBins > parent2.NrOfBins ? parent2.NrOfBins : parent1.NrOfBins;
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51 |
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52 |
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53 | for (int binNr = 0; binNr < nrOfBins; binNr++) {
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54 | MultiComponentVectorEncoding currentParent1 = useParent2 ? parent2 : parent1;
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55 | MultiComponentVectorEncoding currentParent2 = useParent2 ? parent1 : parent2;
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56 |
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57 |
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58 | var newBin = new ItemList<PackingInformation>();
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59 | double crossPointPercent = 0;
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60 |
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61 | int nrOfItems1 = currentParent1.PackingInformations[binNr].Count;
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62 | if (nrOfItems1 > 0) {
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63 | double crossPoint1 = random.Next(nrOfItems1);
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64 | crossPointPercent = crossPoint1 / nrOfItems1;
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65 | for (int i = 0; i < crossPoint1; i++) {
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66 | PackingInformation pi = new PackingInformation(currentParent1.PackingInformations[binNr][i]);
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67 | if (!itemAlreadyAssigned[pi.ItemID]) {
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68 | itemAlreadyAssigned[pi.ItemID] = true;
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69 | newBin.Add(new PackingInformation(pi));
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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 | int nrOfItems2 = currentParent2.PackingInformations[binNr].Count;
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75 | if (nrOfItems2 > 0) {
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76 | int crossPoint2 = Convert.ToInt32(nrOfItems2 * crossPointPercent);
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77 | for (int i = crossPoint2; i < nrOfItems2; i++) {
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78 | PackingInformation pi = new PackingInformation(currentParent2.PackingInformations[binNr][i]);
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79 | if (!itemAlreadyAssigned[pi.ItemID]) {
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80 | itemAlreadyAssigned[pi.ItemID] = true;
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81 | newBin.Add(new PackingInformation(pi));
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82 | }
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83 | }
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84 | }
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85 |
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86 | child.PackingInformations[binNr] = newBin;
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87 | useParent2 = !useParent2;
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88 | }
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89 |
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90 | for (int itemID = 0; itemID < nrOfItems; itemID++) {
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91 | if (!itemAlreadyAssigned[itemID])
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92 | child.PackingInformations[0].Add(new PackingInformation(itemID, random.Next(2) == 0 ? true : false));
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93 | }
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94 |
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95 | return child;
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96 | }
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97 | }
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98 | }
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