source: branches/2943_MOBasicProblem_MOCMAES/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Analyzers/InvertedGenerationalDistanceAnalyzer.cs @ 16171

Last change on this file since 16171 was 16171, checked in by bwerth, 2 years ago

#2943 worked on MOBasicProblem - added Interfaces;reworked MOCalculators; several minor changes

File size: 3.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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 HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
31  [StorableClass]
32  [Item("InvertedGenerationalDistanceAnalyzer", "The inverted generational distance between the current and the best known front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
33  public class InvertedGenerationalDistanceAnalyzer : MOTFAnalyzer {
34    public override bool EnabledByDefault { get { return false; } }
35
36    private IFixedValueParameter<DoubleValue> DampeningParameter {
37      get { return (IFixedValueParameter<DoubleValue>)Parameters["Dampening"]; }
38    }
39
40    public double Dampening {
41      get { return DampeningParameter.Value.Value; }
42      set { DampeningParameter.Value.Value = value; }
43    }
44
45    public IResultParameter<DoubleValue> InvertedGenerationalDistanceResultParameter {
46      get { return (IResultParameter<DoubleValue>)Parameters["Inverted Generational Distance"]; }
47    }
48
49    [StorableConstructor]
50    protected InvertedGenerationalDistanceAnalyzer(bool deserializing) : base(deserializing) { }
51    protected InvertedGenerationalDistanceAnalyzer(InvertedGenerationalDistanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
52    public override IDeepCloneable Clone(Cloner cloner) {
53      return new InvertedGenerationalDistanceAnalyzer(this, cloner);
54    }
55
56    public InvertedGenerationalDistanceAnalyzer() {
57      Parameters.Add(new FixedValueParameter<DoubleValue>("Dampening", "", new DoubleValue(1)));
58      Parameters.Add(new ResultParameter<DoubleValue>("Inverted Generational Distance", "The genrational distance between the current front and the optimal front"));
59      InvertedGenerationalDistanceResultParameter.DefaultValue = new DoubleValue(double.NaN);
60    }
61
62    public override IOperation Apply() {
63      var qualities = QualitiesParameter.ActualValue;
64      var optimalfront = TestFunctionParameter.ActualValue.OptimalParetoFront(qualities[0].Length);
65      if (optimalfront == null) return base.Apply();
66      InvertedGenerationalDistanceResultParameter.ActualValue.Value = GenerationalDistanceCalculator.CalculateInverseGenerationalDistance(qualities, optimalfront, Dampening);
67      return base.Apply();
68    }
69  }
70}
Note: See TracBrowser for help on using the repository browser.