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

Last change on this file since 16462 was 16462, checked in by jkarder, 5 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: 2.8 KB
RevLine 
[13672]1#region License Information
2/* HeuristicLab
[16453]3 * Copyright (C) 2002-2019 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
[14044]21
22using System.Linq;
[13672]23using HeuristicLab.Common;
[13725]24using HeuristicLab.Core;
[13672]25using HeuristicLab.Data;
26using HeuristicLab.Optimization;
[14085]27using HeuristicLab.Parameters;
[16462]28using HEAL.Fossil;
[13672]29
[14111]30namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
[16462]31  [StorableType("F06FB45C-051E-4AD8-BD82-16DA9DCBCACB")]
[13725]32  [Item("CrowdingAnalyzer", "The mean crowding distance for each point of the Front (see Multi-Objective Performance Metrics - Shodhganga for more information)")]
33  public class CrowdingAnalyzer : MOTFAnalyzer {
[14044]34
[14085]35    public ILookupParameter<DoubleMatrix> BoundsParameter {
36      get { return (ILookupParameter<DoubleMatrix>)Parameters["Bounds"]; }
37    }
38
[14097]39    public IResultParameter<DoubleValue> CrowdingResultParameter {
40      get { return (IResultParameter<DoubleValue>)Parameters["Crowding"]; }
41    }
42
[13725]43    [StorableConstructor]
[16462]44    protected CrowdingAnalyzer(StorableConstructorFlag _) : base(_) { }
[14044]45    public CrowdingAnalyzer(CrowdingAnalyzer original, Cloner cloner)
46      : base(original, cloner) {
[13725]47    }
[13672]48    public override IDeepCloneable Clone(Cloner cloner) {
49      return new CrowdingAnalyzer(this, cloner);
50    }
[13725]51
[14085]52    public CrowdingAnalyzer() {
53      Parameters.Add(new LookupParameter<DoubleMatrix>("Bounds",
54        "The bounds of the solution given as either one line for all variables or a line for each variable. The first column specifies lower bound, the second upper bound."));
[14097]55      Parameters.Add(new ResultParameter<DoubleValue>("Crowding", "The average corwding value of all points (excluding infinities)"));
56      CrowdingResultParameter.DefaultValue = new DoubleValue(double.NaN);
57
[14085]58    }
[13725]59
[14044]60    public override IOperation Apply() {
61      var qualities = QualitiesParameter.ActualValue;
[14085]62      var bounds = BoundsParameter.ActualValue;
[13725]63
[14085]64      var crowdingDistance = Crowding.Calculate(qualities.Select(x => x.ToArray()), bounds.CloneAsMatrix());
[14097]65      CrowdingResultParameter.ActualValue.Value = crowdingDistance;
[14044]66
67      return base.Apply();
[13672]68    }
[14044]69
[13672]70  }
71}
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