#region License Information /* HeuristicLab * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Analysis { [StorableClass] [Item("CrowdingAnalyzer", "The mean crowding distance for each point of the Front (see Multi-Objective Performance Metrics - Shodhganga for more information)")] public class CrowdingAnalyzer : MultiObjectiveSuccessAnalyzer { public override string ResultName => "Crowding"; [StorableConstructor] protected CrowdingAnalyzer(bool deserializing) : base(deserializing) { } public CrowdingAnalyzer(CrowdingAnalyzer original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new CrowdingAnalyzer(this, cloner); } public CrowdingAnalyzer() { Parameters.Add(new ResultParameter("Crowding", "The average corwding distance of all points (excluding infinities)", "Results", new DoubleValue(double.NaN))); } public override IOperation Apply() { var qualities = QualitiesParameter.ActualValue; var crowdingDistance = CrowdingCalculator.CalculateCrowding(qualities); ResultParameter.ActualValue.Value = crowdingDistance; return base.Apply(); } } }