source: branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/Analyzers/CrowdingAnalyzer.cs @ 14044

Last change on this file since 14044 was 14044, checked in by mkommend, 6 years ago

#1087: Refactored and improved analyzers for multi-objective test functions.

File size: 2.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.MultiObjectiveTestFunctions {
30  [StorableClass]
31  [Item("CrowdingAnalyzer", "The mean crowding distance for each point of the Front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
32  public class CrowdingAnalyzer : MOTFAnalyzer {
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
45    public override IOperation Apply() {
46      var results = ResultsParameter.ActualValue;
47      var qualities = QualitiesParameter.ActualValue;
48      var testFunction = TestFunctionParameter.ActualValue;
49      int objectives = qualities[0].Length;
50
51      if (!results.ContainsKey("Crowding")) results.Add(new Result("Crowding", new DoubleValue()));
52      var resultValue = (DoubleValue)results["Crowding"].Value;
53
54      var crowdingDistance = Crowding.Calculate(qualities.Select(x => x.ToArray()), testFunction.Bounds(objectives));
55      resultValue.Value = crowdingDistance;
56
57      return base.Apply();
58    }
59
60  }
61}
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