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.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.Data;
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27 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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28 | using HeuristicLab.Parameters;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 | using HeuristicLab.Random;
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31 |
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32 | namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {
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33 | [Item("DiscreteLocationCrossover", "Combines the assignment to locations from various parents.")]
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34 | [StorableClass]
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35 | public class DiscreteLocationCrossover : GQAPCrossover, ICapacitiesAwareGQAPOperator {
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36 |
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37 | public ILookupParameter<DoubleArray> CapacitiesParameter {
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38 | get { return (ILookupParameter<DoubleArray>)Parameters["Capacities"]; }
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39 | }
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40 |
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41 | [StorableConstructor]
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42 | protected DiscreteLocationCrossover(bool deserializing) : base(deserializing) { }
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43 | protected DiscreteLocationCrossover(DiscreteLocationCrossover original, Cloner cloner)
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44 | : base(original, cloner) { }
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45 | public DiscreteLocationCrossover()
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46 | : base() {
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47 | Parameters.Add(new LookupParameter<DoubleArray>("Capacities", GeneralizedQuadraticAssignmentProblem.CapacitiesDescription));
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48 | }
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49 |
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50 | public override IDeepCloneable Clone(Cloner cloner) {
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51 | return new DiscreteLocationCrossover(this, cloner);
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52 | }
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53 |
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54 | public static IntegerVector Apply(IRandom random, ItemArray<IntegerVector> parents, DoubleArray capacities) {
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55 |
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56 | var groupedLocations = parents
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57 | .Select(p => p.Select((value, index) => new { Equipment = index, Location = value })
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58 | .GroupBy(x => x.Location)
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59 | .ToDictionary(x => x.Key, y => y.AsEnumerable())).ToArray();
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60 |
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61 | IntegerVector child = new IntegerVector(parents[0].Length);
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62 | HashSet<int> remainingEquipment = new HashSet<int>(Enumerable.Range(0, child.Length));
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63 | int locations = capacities.Length;
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64 | foreach (var i in Enumerable.Range(0, locations).Shuffle(random)) {
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65 | int parent = random.Next(parents.Length);
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66 | if (!groupedLocations[parent].ContainsKey(i)) {
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67 | int tmp = parent;
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68 | do {
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69 | tmp = (tmp + 1) % parents.Length;
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70 | } while (tmp != parent && !groupedLocations[tmp].ContainsKey(i));
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71 | if (parent == tmp) continue;
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72 | else parent = tmp;
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73 | }
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74 | foreach (var item in groupedLocations[parent][i]) {
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75 | if (remainingEquipment.Contains(item.Equipment)) {
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76 | child[item.Equipment] = i;
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77 | remainingEquipment.Remove(item.Equipment);
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78 | }
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79 | }
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80 | }
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81 |
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82 | foreach (var equipment in remainingEquipment) {
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83 | int parent = random.Next(parents.Length);
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84 | child[equipment] = parents[parent][equipment];
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85 | }
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86 |
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87 | return child;
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88 | }
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89 |
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90 | protected override IntegerVector Cross(IRandom random, ItemArray<IntegerVector> parents) {
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91 | return Apply(random, parents, CapacitiesParameter.ActualValue);
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92 | }
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93 | }
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94 | }
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