1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2018 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 System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Optimization;
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29 | using HeuristicLab.Parameters;
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30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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31 |
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32 | namespace HeuristicLab.Selection {
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33 | /// <summary>
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34 | /// A tournament selection operator which considers a single double quality value for selection.
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35 | /// </summary>
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36 | [Item("TournamentSelector", "A tournament selection operator which considers a single double quality value for selection.")]
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37 | [StorableClass]
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38 | public sealed class TournamentSelector : StochasticSingleObjectiveSelector, ISingleObjectiveSelector {
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39 | public ValueLookupParameter<IntValue> GroupSizeParameter {
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40 | get { return (ValueLookupParameter<IntValue>)Parameters["GroupSize"]; }
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41 | }
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42 |
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43 | [StorableConstructor]
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44 | private TournamentSelector(bool deserializing) : base(deserializing) { }
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45 | private TournamentSelector(TournamentSelector original, Cloner cloner) : base(original, cloner) { }
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46 | public override IDeepCloneable Clone(Cloner cloner) {
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47 | return new TournamentSelector(this, cloner);
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48 | }
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49 |
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50 | public TournamentSelector()
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51 | : base() {
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52 | Parameters.Add(new ValueLookupParameter<IntValue>("GroupSize", "The size of the tournament group.", new IntValue(2)));
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53 | }
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54 |
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55 | protected override IScope[] Select(List<IScope> scopes) {
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56 | int count = NumberOfSelectedSubScopesParameter.ActualValue.Value;
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57 | bool copy = CopySelectedParameter.Value.Value;
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58 | IRandom random = RandomParameter.ActualValue;
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59 | bool maximization = MaximizationParameter.ActualValue.Value;
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60 | List<double> qualities = QualityParameter.ActualValue.Where(x => IsValidQuality(x.Value)).Select(x => x.Value).ToList();
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61 | int groupSize = GroupSizeParameter.ActualValue.Value;
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62 | IScope[] selected = new IScope[count];
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63 |
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64 | //check if list with indexes is as long as the original scope list
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65 | //otherwise invalid quality values were filtered
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66 | if (qualities.Count != scopes.Count) {
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67 | throw new ArgumentException("The scopes contain invalid quality values (either infinity or double.NaN) on which the selector cannot operate.");
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68 | }
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69 |
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70 | for (int i = 0; i < count; i++) {
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71 | var selectedIdx = SelectIdx(random, qualities, maximization, groupSize);
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72 |
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73 | if (copy)
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74 | selected[i] = (IScope)scopes[selectedIdx].Clone();
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75 | else {
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76 | selected[i] = scopes[selectedIdx];
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77 | scopes.RemoveAt(selectedIdx);
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78 | qualities.RemoveAt(selectedIdx);
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79 | }
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80 | }
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81 | return selected;
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82 | }
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83 |
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84 | public static int SelectIdx(IRandom random, IList<double> qualities, bool maximization, int groupSize) {
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85 | int best = random.Next(qualities.Count);
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86 | int index;
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87 | for (int j = 1; j < groupSize; j++) {
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88 | index = random.Next(qualities.Count);
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89 | if (((maximization) && (qualities[index] > qualities[best])) ||
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90 | ((!maximization) && (qualities[index] < qualities[best]))) {
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91 | best = index;
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92 | }
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93 | }
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94 |
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95 | return best;
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96 | }
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97 | }
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98 | }
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