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source: branches/RemoveBackwardsCompatibility/HeuristicLab.Algorithms.RAPGA/3.3/DuplicatesSelector.cs @ 13825

Last change on this file since 13825 was 12069, checked in by jkarder, 10 years ago

#2332: refactored operators and analyzers

  • removed quality and maximization parameters in SingleObjectivePopulationDiversityAnalyzer
  • renamed SingleObjectivePopulationDiversityAnalyzer to PopulationSimilarityAnalyzer
  • added ConstrainedValueParameter for similarity calculators of analyzer
  • added ValueLookupParameter for similarity calculator of the following operators:
    • DuplicatesSelector, ProgressiveOffspringPreserver, ReferenceSetUpdateMethod, SolutionPoolUpdateMethod
  • removed some wiring code in specific problems
File size: 3.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29using HeuristicLab.Selection;
30
31namespace HeuristicLab.Algorithms.RAPGA {
32  /// <summary>
33  /// A selection operator which considers a single solution representation and selects duplicates.
34  /// </summary>
35  /// <remarks>
36  /// The remaining scope then contains unique solutions and the selected scope their duplicates.
37  /// </remarks>
38  [Item("DuplicatesSelector", "A selection operator which considers a single solution representation and selects duplicates. The remaining scope then contains unique solutions and the selected scope their duplicates.")]
39  [StorableClass]
40  public sealed class DuplicatesSelector : SingleObjectiveSelector {
41    public IValueLookupParameter<ISolutionSimilarityCalculator> SimilarityCalculatorParameter {
42      get { return (IValueLookupParameter<ISolutionSimilarityCalculator>)Parameters["SimilarityCalculator"]; }
43    }
44
45    [StorableConstructor]
46    private DuplicatesSelector(bool deserializing) : base(deserializing) { }
47    private DuplicatesSelector(DuplicatesSelector original, Cloner cloner) : base(original, cloner) { }
48    public DuplicatesSelector()
49      : base() {
50      Parameters.Add(new ValueLookupParameter<ISolutionSimilarityCalculator>("SimilarityCalculator", "The similarity calculator that should be used to calculate solution similarity."));
51    }
52
53    public override IDeepCloneable Clone(Cloner cloner) {
54      return new DuplicatesSelector(this, cloner);
55    }
56
57    [StorableHook(HookType.AfterDeserialization)]
58    private void AfterDeserialization() {
59      // BackwardsCompatibility3.3
60      #region Backwards compatible code, remove with 3.4
61      if (!Parameters.ContainsKey("SimilarityCalculator"))
62        Parameters.Add(new ValueLookupParameter<ISolutionSimilarityCalculator>("SimilarityCalculator", "The similarity calculator that should be used to calculate solution similarity."));
63      #endregion
64    }
65
66    protected override IScope[] Select(List<IScope> scopes) {
67      bool copy = CopySelected.Value;
68
69      var marks = new bool[scopes.Count];
70      for (int i = 0; i < scopes.Count; i++)
71        for (int j = i + 1; j < scopes.Count; j++)
72          marks[j] = SimilarityCalculatorParameter.ActualValue.Equals(scopes[i], scopes[j]);
73
74
75      var selected = new IScope[marks.Count(x => x)];
76      int k = 0;
77      if (copy) {
78        for (int i = 0; i < scopes.Count; i++)
79          if (marks[i]) {
80            selected[k++] = (IScope)scopes[i].Clone();
81          }
82      } else {
83        for (int i = 0; i < scopes.Count; i++)
84          if (marks[i]) {
85            selected[k++] = scopes[i];
86            scopes[i] = null;
87          }
88        scopes.RemoveAll(x => x == null);
89      }
90
91      return selected;
92    }
93  }
94}
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