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

Last change on this file since 16453 was 16453, checked in by jkarder, 5 years ago

#2520: updated year of copyrights

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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;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Optimization;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
32  [StorableClass]
33  [Item("GenerationalDistanceAnalyzer", "The generational distance between the current and the best known front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
34  public class GenerationalDistanceAnalyzer : MOTFAnalyzer {
35
36    private IFixedValueParameter<DoubleValue> DampeningParameter {
37      get { return (IFixedValueParameter<DoubleValue>)Parameters["Dampening"]; }
38      set { Parameters["Dampening"].ActualValue = value; }
39    }
40
41    public double Dampening {
42      get { return DampeningParameter.Value.Value; }
43      set { DampeningParameter.Value.Value = value; }
44    }
45
46    public IResultParameter<DoubleValue> GenerationalDistanceResultParameter {
47      get { return (IResultParameter<DoubleValue>)Parameters["Generational Distance"]; }
48    }
49
50    [StorableConstructor]
51    protected GenerationalDistanceAnalyzer(bool deserializing) : base(deserializing) { }
52    protected GenerationalDistanceAnalyzer(GenerationalDistanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
53    public override IDeepCloneable Clone(Cloner cloner) {
54      return new GenerationalDistanceAnalyzer(this, cloner);
55    }
56
57    public GenerationalDistanceAnalyzer() {
58      Parameters.Add(new FixedValueParameter<DoubleValue>("Dampening", "", new DoubleValue(1)));
59      Parameters.Add(new ResultParameter<DoubleValue>("Generational Distance", "The genrational distance between the current front and the optimal front"));
60      GenerationalDistanceResultParameter.DefaultValue = new DoubleValue(double.NaN);
61
62    }
63
64    public override IOperation Apply() {
65      var qualities = QualitiesParameter.ActualValue;
66      int objectives = qualities[0].Length;
67
68      var optimalfront = TestFunctionParameter.ActualValue.OptimalParetoFront(objectives);
69      if (optimalfront == null) return base.Apply();
70
71      var distance = GenerationalDistance.Calculate(qualities.Select(x => x.CloneAsArray()), optimalfront, Dampening);
72      GenerationalDistanceResultParameter.ActualValue.Value = distance;
73
74      return base.Apply();
75    }
76  }
77}
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