source: branches/2520_PersistenceReintegration/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Analyzers/ScatterPlotAnalyzer.cs @ 16453

Last change on this file since 16453 was 16453, checked in by jkarder, 2 years ago

#2520: updated year of copyrights

File size: 3.2 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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.Encodings.RealVectorEncoding;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
31  [StorableClass]
32  [Item("ScatterPlotAnalyzer", "Creates a Scatterplot for the current and the best known front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
33  public class ScatterPlotAnalyzer : MOTFAnalyzer {
34
35    public IScopeTreeLookupParameter<RealVector> IndividualsParameter {
36      get { return (IScopeTreeLookupParameter<RealVector>)Parameters["Individuals"]; }
37    }
38
39    public IResultParameter<ParetoFrontScatterPlot> ScatterPlotResultParameter {
40      get { return (IResultParameter<ParetoFrontScatterPlot>)Parameters["Scatterplot"]; }
41    }
42
43
44    [StorableConstructor]
45    protected ScatterPlotAnalyzer(bool deserializing) : base(deserializing) { }
46    protected ScatterPlotAnalyzer(ScatterPlotAnalyzer original, Cloner cloner) : base(original, cloner) { }
47    public override IDeepCloneable Clone(Cloner cloner) {
48      return new ScatterPlotAnalyzer(this, cloner);
49    }
50
51    public ScatterPlotAnalyzer() {
52      Parameters.Add(new ScopeTreeLookupParameter<RealVector>("Individuals", "The individual solutions to the problem"));
53      Parameters.Add(new ResultParameter<ParetoFrontScatterPlot>("Scatterplot", "The scatterplot for the current and optimal (if known front)"));
54
55    }
56
57    public override IOperation Apply() {
58      var qualities = QualitiesParameter.ActualValue;
59      var individuals = IndividualsParameter.ActualValue;
60      var testFunction = TestFunctionParameter.ActualValue;
61      int objectives = qualities[0].Length;
62      int problemSize = individuals[0].Length;
63
64      double[][] optimalFront = new double[0][];
65      var front = testFunction.OptimalParetoFront(objectives);
66      if (front != null) optimalFront = front.ToArray();
67
68      var qualityClones = qualities.Select(s => s.ToArray()).ToArray();
69      var solutionClones = individuals.Select(s => s.ToArray()).ToArray();
70
71      ScatterPlotResultParameter.ActualValue = new ParetoFrontScatterPlot(qualityClones, solutionClones, optimalFront, objectives, problemSize);
72
73      return base.Apply();
74    }
75  }
76}
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