1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 20022016 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 


22  using System.Linq;


23  using HeuristicLab.Common;


24  using HeuristicLab.Core;


25  using HeuristicLab.Data;


26  using HeuristicLab.Optimization;


27  using HeuristicLab.Parameters;


28  using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;


29 


30  namespace HeuristicLab.Problems.MultiObjectiveTestFunctions {


31  [StorableClass]


32  [Item("CrowdingAnalyzer", "The mean crowding distance for each point of the Front (see MultiObjective Performance Metrics  Shodhganga for more information)")]


33  public class CrowdingAnalyzer : MOTFAnalyzer {


34 


35  public ILookupParameter<DoubleMatrix> BoundsParameter {


36  get { return (ILookupParameter<DoubleMatrix>)Parameters["Bounds"]; }


37  }


38 


39  public IResultParameter<DoubleValue> CrowdingResultParameter {


40  get { return (IResultParameter<DoubleValue>)Parameters["Crowding"]; }


41  }


42 


43  [StorableConstructor]


44  protected CrowdingAnalyzer(bool deserializing) : base(deserializing) { }


45  public CrowdingAnalyzer(CrowdingAnalyzer original, Cloner cloner)


46  : base(original, cloner) {


47  }


48  public override IDeepCloneable Clone(Cloner cloner) {


49  return new CrowdingAnalyzer(this, cloner);


50  }


51 


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."));


55  Parameters.Add(new ResultParameter<DoubleValue>("Crowding", "The average corwding value of all points (excluding infinities)"));


56  CrowdingResultParameter.DefaultValue = new DoubleValue(double.NaN);


57 


58  }


59 


60  public override IOperation Apply() {


61  var qualities = QualitiesParameter.ActualValue;


62  var bounds = BoundsParameter.ActualValue;


63 


64  var crowdingDistance = Crowding.Calculate(qualities.Select(x => x.ToArray()), bounds.CloneAsMatrix());


65  CrowdingResultParameter.ActualValue.Value = crowdingDistance;


66 


67  return base.Apply();


68  }


69 


70  }


71  }

