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source: stable/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Analyzers/InvertedGenerationalDistanceAnalyzer.cs @ 17186

Last change on this file since 17186 was 17181, checked in by swagner, 5 years ago

#2875: Merged r17180 from trunk to stable

File size: 3.4 KB
RevLine 
[13672]1#region License Information
2/* HeuristicLab
[17181]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[13672]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
[14044]22using System.Linq;
[13672]23using HeuristicLab.Common;
[13725]24using HeuristicLab.Core;
[13672]25using HeuristicLab.Data;
26using HeuristicLab.Optimization;
[13725]27using HeuristicLab.Parameters;
[17097]28using HEAL.Attic;
[13672]29
[14111]30namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
[17097]31  [StorableType("EC99F3C1-D8D2-4738-9523-0D07438647A5")]
[13725]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 {
[14108]34    public override bool EnabledByDefault { get { return false; } }
[13672]35
[14044]36    private IFixedValueParameter<DoubleValue> DampeningParameter {
37      get { return (IFixedValueParameter<DoubleValue>)Parameters["Dampening"]; }
[13672]38    }
39
[14044]40    public double Dampening {
41      get { return DampeningParameter.Value.Value; }
42      set { DampeningParameter.Value.Value = value; }
[13725]43    }
44
[14097]45    public IResultParameter<DoubleValue> InvertedGenerationalDistanceResultParameter {
46      get { return (IResultParameter<DoubleValue>)Parameters["Inverted Generational Distance"]; }
47    }
48
[13725]49    public InvertedGenerationalDistanceAnalyzer() {
[14044]50      Parameters.Add(new FixedValueParameter<DoubleValue>("Dampening", "", new DoubleValue(1)));
[14097]51      Parameters.Add(new ResultParameter<DoubleValue>("Inverted Generational Distance", "The genrational distance between the current front and the optimal front"));
52      InvertedGenerationalDistanceResultParameter.DefaultValue = new DoubleValue(double.NaN);
53
[13725]54    }
55
[14097]56
[14044]57    [StorableConstructor]
[17097]58    protected InvertedGenerationalDistanceAnalyzer(StorableConstructorFlag _) : base(_) { }
[14044]59    protected InvertedGenerationalDistanceAnalyzer(InvertedGenerationalDistanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
60    public override IDeepCloneable Clone(Cloner cloner) {
61      return new InvertedGenerationalDistanceAnalyzer(this, cloner);
62    }
63
64    public override IOperation Apply() {
65      var qualities = QualitiesParameter.ActualValue;
66      var testFunction = TestFunctionParameter.ActualValue;
[13672]67      int objectives = qualities[0].Length;
[14044]68
[14085]69      var optimalfront = testFunction.OptimalParetoFront(objectives);
[14044]70      if (optimalfront == null) return base.Apply();
71
72      var invertedGenerationalDistance = InvertedGenerationalDistance.Calculate(qualities.Select(q => q.ToArray()), optimalfront, DampeningParameter.Value.Value);
[14097]73      InvertedGenerationalDistanceResultParameter.ActualValue.Value = invertedGenerationalDistance;
[14044]74
75      return base.Apply();
[13672]76    }
[14044]77
78
[13672]79  }
80}
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