source: branches/2943_MOBasicProblem_MOCMAES/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Analyzers/CrowdingAnalyzer.cs @ 16171

Last change on this file since 16171 was 16171, checked in by bwerth, 2 years ago

#2943 worked on MOBasicProblem - added Interfaces;reworked MOCalculators; several minor changes

File size: 2.4 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 System.Linq;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
31  [StorableClass]
32  [Item("CrowdingAnalyzer", "The mean crowding distance for each point of the Front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
33  public class CrowdingAnalyzer : MOTFAnalyzer {
34
35    public IResultParameter<DoubleValue> CrowdingResultParameter {
36      get { return (IResultParameter<DoubleValue>)Parameters["Crowding"]; }
37    }
38
39    [StorableConstructor]
40    protected CrowdingAnalyzer(bool deserializing) : base(deserializing) { }
41    public CrowdingAnalyzer(CrowdingAnalyzer original, Cloner cloner)
42      : base(original, cloner) {
43    }
44    public override IDeepCloneable Clone(Cloner cloner) {
45      return new CrowdingAnalyzer(this, cloner);
46    }
47
48    public CrowdingAnalyzer() {
49      Parameters.Add(new ResultParameter<DoubleValue>("Crowding", "The average corwding distance of all points (excluding infinities)"));
50      CrowdingResultParameter.DefaultValue = new DoubleValue(double.NaN);
51    }
52
53    public override IOperation Apply() {
54      var qualities = QualitiesParameter.ActualValue;
55      var crowdingDistance = CrowdingCalculator.CalculateCrowding(qualities);
56      CrowdingResultParameter.ActualValue.Value = crowdingDistance;
57      return base.Apply();
58    }
59
60  }
61}
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