[13672] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16723] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[13672] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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[14044] | 22 | using System.Linq;
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[13672] | 23 | using HeuristicLab.Common;
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[13725] | 24 | using HeuristicLab.Core;
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[13672] | 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Optimization;
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[13725] | 27 | using HeuristicLab.Parameters;
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[16723] | 28 | using HEAL.Attic;
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[13672] | 29 |
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[14111] | 30 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
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[16723] | 31 | [StorableType("EC99F3C1-D8D2-4738-9523-0D07438647A5")]
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[17225] | 32 | [Item("InvertedGenerationalDistanceAnalyzer", "This analyzer is functionally equivalent to the InvertedGenerationalDistanceAnalyzer in HeuristicLab.Analysis, but is kept as not to break backwards compatibility")]
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[13725] | 33 | public class InvertedGenerationalDistanceAnalyzer : MOTFAnalyzer {
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[17225] | 34 | public override bool EnabledByDefault {
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| 35 | get { return false; }
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| 36 | }
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[13672] | 37 |
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[14044] | 38 | private IFixedValueParameter<DoubleValue> DampeningParameter {
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| 39 | get { return (IFixedValueParameter<DoubleValue>)Parameters["Dampening"]; }
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[13672] | 40 | }
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| 41 |
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[14044] | 42 | public double Dampening {
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| 43 | get { return DampeningParameter.Value.Value; }
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| 44 | set { DampeningParameter.Value.Value = value; }
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[13725] | 45 | }
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| 46 |
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[14097] | 47 | public IResultParameter<DoubleValue> InvertedGenerationalDistanceResultParameter {
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| 48 | get { return (IResultParameter<DoubleValue>)Parameters["Inverted Generational Distance"]; }
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| 49 | }
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| 50 |
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[13725] | 51 | public InvertedGenerationalDistanceAnalyzer() {
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[14044] | 52 | Parameters.Add(new FixedValueParameter<DoubleValue>("Dampening", "", new DoubleValue(1)));
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[14097] | 53 | Parameters.Add(new ResultParameter<DoubleValue>("Inverted Generational Distance", "The genrational distance between the current front and the optimal front"));
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| 54 | InvertedGenerationalDistanceResultParameter.DefaultValue = new DoubleValue(double.NaN);
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[13725] | 55 | }
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| 56 |
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[14097] | 57 |
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[14044] | 58 | [StorableConstructor]
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[16723] | 59 | protected InvertedGenerationalDistanceAnalyzer(StorableConstructorFlag _) : base(_) { }
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[14044] | 60 | protected InvertedGenerationalDistanceAnalyzer(InvertedGenerationalDistanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 61 | public override IDeepCloneable Clone(Cloner cloner) {
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| 62 | return new InvertedGenerationalDistanceAnalyzer(this, cloner);
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| 63 | }
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| 64 |
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| 65 | public override IOperation Apply() {
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| 66 | var qualities = QualitiesParameter.ActualValue;
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[17225] | 67 | var optimalfront = TestFunctionParameter.ActualValue.OptimalParetoFront(qualities[0].Length);
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[14044] | 68 | if (optimalfront == null) return base.Apply();
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| 69 |
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[17225] | 70 | var q = qualities.Select(x => x.ToArray());
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| 71 | InvertedGenerationalDistanceResultParameter.ActualValue.Value = InvertedGenerationalDistance.Calculate(q, optimalfront, Dampening);
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[14044] | 72 | return base.Apply();
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[13672] | 73 | }
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| 74 | }
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| 75 | }
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