source: branches/2521_ProblemRefactoring/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Analyzers/ScatterPlotAnalyzer.cs @ 17229

Last change on this file since 17229 was 17229, checked in by abeham, 12 months ago

#2521: Refactored ParetoFrontScatterPlot (moved from TestFunctions.MultiObjective to Analysis)

  • Introduced generic type that may work with all solution encodings
File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
24using HeuristicLab.Analysis;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Encodings.RealVectorEncoding;
28using HeuristicLab.Optimization;
29using HeuristicLab.Parameters;
30
31namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
32  [StorableType("720E2726-7F31-4425-B478-327D24BA2FF3")]
33  [Item("ScatterPlotAnalyzer", "Creates a Scatterplot for the current and the best known front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
34  public class ScatterPlotAnalyzer : MOTFAnalyzer {
35
36    public IScopeTreeLookupParameter<RealVector> IndividualsParameter {
37      get { return (IScopeTreeLookupParameter<RealVector>)Parameters["Individuals"]; }
38    }
39
40    public IResultParameter<ParetoFrontScatterPlot<RealVector>> ScatterPlotResultParameter {
41      get { return (IResultParameter<ParetoFrontScatterPlot<RealVector>>)Parameters["Scatterplot"]; }
42    }
43
44    [StorableConstructor]
45    protected ScatterPlotAnalyzer(StorableConstructorFlag _) : base(_) { }
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<RealVector>>("Scatterplot", "The scatterplot for the current and optimal (if known front)"));
54    }
55
56    public override IOperation Apply() {
57      var qualities = QualitiesParameter.ActualValue;
58      var individuals = IndividualsParameter.ActualValue;
59      var testFunction = TestFunctionParameter.ActualValue;
60      var objectives = qualities.Length != 0 ? qualities[0].Length:0;
61
62      var optimalFront = new double[0][];               
63      if (testFunction != null) {
64        var front = testFunction.OptimalParetoFront(objectives);
65        if (front != null) optimalFront = front.ToArray();
66      }
67      else {
68        var mat = BestKnownFrontParameter.ActualValue;
69        optimalFront = mat == null ? null : Enumerable.Range(0, mat.Rows).Select(r => Enumerable.Range(0, mat.Columns).Select(c => mat[r, c]).ToArray()).ToArray();
70      }
71
72      var fronts = DominationCalculator.CalculateAllParetoFronts(individuals.ToArray(), qualities.Select(x => x.ToArray()).ToArray(), testFunction.Maximization(objectives), out var rank);
73     
74      ScatterPlotResultParameter.ActualValue = new ParetoFrontScatterPlot<RealVector>(
75        fronts.Select(x => x.Select(y => y.Item2).ToArray()).ToArray(),
76        fronts.Select(x => x.Select(y => y.Item1).ToArray()).ToArray(),
77        optimalFront, objectives);
78      return base.Apply();
79    }
80  }
81}
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