source: branches/2520_PersistenceReintegration/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Analyzers/GenerationalDistanceAnalyzer.cs @ 16462

Last change on this file since 16462 was 16462, checked in by jkarder, 2 years ago

#2520: worked on reintegration of new persistence

  • added nuget references to HEAL.Fossil
  • added StorableType attributes to many classes
  • changed signature of StorableConstructors
  • removed some classes in old persistence
  • removed some unnecessary usings
File size: 3.2 KB
Line 
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.Data;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HEAL.Fossil;
29
30namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
31  [StorableType("EBC72F16-E329-4D18-800C-8642EFD0F05C")]
32  [Item("GenerationalDistanceAnalyzer", "The generational distance between the current and the best known front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
33  public class GenerationalDistanceAnalyzer : MOTFAnalyzer {
34
35    private IFixedValueParameter<DoubleValue> DampeningParameter {
36      get { return (IFixedValueParameter<DoubleValue>)Parameters["Dampening"]; }
37      set { Parameters["Dampening"].ActualValue = value; }
38    }
39
40    public double Dampening {
41      get { return DampeningParameter.Value.Value; }
42      set { DampeningParameter.Value.Value = value; }
43    }
44
45    public IResultParameter<DoubleValue> GenerationalDistanceResultParameter {
46      get { return (IResultParameter<DoubleValue>)Parameters["Generational Distance"]; }
47    }
48
49    [StorableConstructor]
50    protected GenerationalDistanceAnalyzer(StorableConstructorFlag _) : base(_) { }
51    protected GenerationalDistanceAnalyzer(GenerationalDistanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
52    public override IDeepCloneable Clone(Cloner cloner) {
53      return new GenerationalDistanceAnalyzer(this, cloner);
54    }
55
56    public GenerationalDistanceAnalyzer() {
57      Parameters.Add(new FixedValueParameter<DoubleValue>("Dampening", "", new DoubleValue(1)));
58      Parameters.Add(new ResultParameter<DoubleValue>("Generational Distance", "The genrational distance between the current front and the optimal front"));
59      GenerationalDistanceResultParameter.DefaultValue = new DoubleValue(double.NaN);
60
61    }
62
63    public override IOperation Apply() {
64      var qualities = QualitiesParameter.ActualValue;
65      int objectives = qualities[0].Length;
66
67      var optimalfront = TestFunctionParameter.ActualValue.OptimalParetoFront(objectives);
68      if (optimalfront == null) return base.Apply();
69
70      var distance = GenerationalDistance.Calculate(qualities.Select(x => x.CloneAsArray()), optimalfront, Dampening);
71      GenerationalDistanceResultParameter.ActualValue.Value = distance;
72
73      return base.Apply();
74    }
75  }
76}
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