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source: branches/2943_MOBasicProblem_MOCMAES/HeuristicLab.Analysis/3.3/MultiObjective/CrowdingAnalyzer.cs @ 16310

Last change on this file since 16310 was 16310, checked in by bwerth, 5 years ago

#2943 worked on MOBasicProblem and MOAnalyzers

File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Optimization;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Analysis {
29  [StorableClass]
30  [Item("CrowdingAnalyzer", "The mean crowding distance for each point of the Front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
31  public class CrowdingAnalyzer : MultiObjectiveSuccessAnalyzer {
32    public override string ResultName => "Crowding";
33
34    [StorableConstructor]
35    protected CrowdingAnalyzer(bool deserializing) : base(deserializing) { }
36    public CrowdingAnalyzer(CrowdingAnalyzer original, Cloner cloner)
37      : base(original, cloner) {
38    }
39    public override IDeepCloneable Clone(Cloner cloner) {
40      return new CrowdingAnalyzer(this, cloner);
41    }
42
43    public CrowdingAnalyzer() {
44      Parameters.Add(new ResultParameter<DoubleValue>("Crowding", "The average corwding distance of all points (excluding infinities)", "Results", new DoubleValue(double.NaN)));
45    }
46
47    public override IOperation Apply() {
48      var qualities = QualitiesParameter.ActualValue;
49      var crowdingDistance = CrowdingCalculator.CalculateCrowding(qualities);
50      ResultParameter.ActualValue.Value = crowdingDistance;
51      return base.Apply();
52    }
53
54  }
55}
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