1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Parameters;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 |
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29 | namespace HeuristicLab.Selection {
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30 | /// <summary>
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31 | /// A tournament selection operator which considers a single double quality value for selection.
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32 | /// </summary>
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33 | [Item("TournamentSelector", "A tournament selection operator which considers a single double quality value for selection.")]
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34 | [EmptyStorableClass]
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35 | [Creatable("Test")]
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36 | public sealed class TournamentSelector : StochasticSingleObjectiveSelector {
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37 | public ValueLookupParameter<IntData> GroupSizeParameter {
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38 | get { return (ValueLookupParameter<IntData>)Parameters["GroupSize"]; }
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39 | }
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40 |
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41 | public TournamentSelector() : base() {
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42 | Parameters.Add(new ValueLookupParameter<IntData>("GroupSize", "The size of the tournament group.", new IntData(2)));
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43 | CopySelected.Value = true;
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44 | }
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45 |
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46 | protected override IScope[] Select(List<IScope> scopes) {
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47 | int count = NumberOfSelectedSubScopesParameter.ActualValue.Value;
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48 | bool copy = CopySelectedParameter.Value.Value;
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49 | IRandom random = RandomParameter.ActualValue;
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50 | bool maximization = MaximizationParameter.ActualValue.Value;
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51 | List<double> qualities = QualityParameter.ActualValue.Select(x => x.Value).ToList();
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52 | int groupSize = GroupSizeParameter.ActualValue.Value;
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53 | IScope[] selected = new IScope[count];
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54 |
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55 | for (int i = 0; i < count; i++) {
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56 | int best = random.Next(scopes.Count);
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57 | int index;
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58 | for (int j = 1; j < groupSize; j++) {
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59 | index = random.Next(scopes.Count);
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60 | if (((maximization) && (qualities[index] > qualities[best])) ||
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61 | ((!maximization) && (qualities[index] < qualities[best]))) {
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62 | best = index;
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63 | }
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64 | }
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65 |
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66 | if (copy)
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67 | selected[i] = (IScope)scopes[best].Clone();
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68 | else {
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69 | selected[i] = scopes[best];
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70 | scopes.RemoveAt(best);
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71 | qualities.RemoveAt(best);
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72 | }
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73 | }
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74 | return selected;
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75 | }
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76 | }
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77 | }
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