#region License Information /* HeuristicLab * Copyright (C) 2002-2012 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.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Analysis { /// /// An operator which calculates the best, average and worst quality of solutions in the scope tree. /// [Item("BestAverageWorstQualityCalculator", "An operator which calculates the best, average and worst quality of solutions in the scope tree.")] [StorableClass] public sealed class BestAverageWorstQualityCalculator : SingleSuccessorOperator { public ValueLookupParameter MaximizationParameter { get { return (ValueLookupParameter)Parameters["Maximization"]; } } public ScopeTreeLookupParameter QualityParameter { get { return (ScopeTreeLookupParameter)Parameters["Quality"]; } } public ValueLookupParameter BestQualityParameter { get { return (ValueLookupParameter)Parameters["BestQuality"]; } } public ValueLookupParameter AverageQualityParameter { get { return (ValueLookupParameter)Parameters["AverageQuality"]; } } public ValueLookupParameter WorstQualityParameter { get { return (ValueLookupParameter)Parameters["WorstQuality"]; } } #region Storing & Cloning [StorableConstructor] private BestAverageWorstQualityCalculator(bool deserializing) : base(deserializing) { } private BestAverageWorstQualityCalculator(BestAverageWorstQualityCalculator original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new BestAverageWorstQualityCalculator(this, cloner); } #endregion public BestAverageWorstQualityCalculator() : base() { Parameters.Add(new ValueLookupParameter("Maximization", "True if the current problem is a maximization problem, otherwise false.")); Parameters.Add(new ScopeTreeLookupParameter("Quality", "The value contained in the scope tree which represents the solution quality.")); Parameters.Add(new ValueLookupParameter("BestQuality", "The quality value of the best solution.")); Parameters.Add(new ValueLookupParameter("AverageQuality", "The average quality of all solutions.")); Parameters.Add(new ValueLookupParameter("WorstQuality", "The quality value of the worst solution.")); BestQualityParameter.Hidden = true; AverageQualityParameter.Hidden = true; WorstQualityParameter.Hidden = true; } public override IOperation Apply() { ItemArray qualities = QualityParameter.ActualValue; bool maximization = MaximizationParameter.ActualValue.Value; if (qualities.Length > 0) { double min = double.MaxValue, max = double.MinValue, sum = 0.0; for (int i = 0; i < qualities.Length; i++) { if (qualities[i].Value < min) min = qualities[i].Value; if (qualities[i].Value > max) max = qualities[i].Value; sum += qualities[i].Value; } if (!maximization) { double temp = min; min = max; max = temp; } DoubleValue best = BestQualityParameter.ActualValue; if (best == null) BestQualityParameter.ActualValue = new DoubleValue(max); else best.Value = max; DoubleValue average = AverageQualityParameter.ActualValue; if (average == null) AverageQualityParameter.ActualValue = new DoubleValue(sum / qualities.Length); else average.Value = sum / qualities.Length; DoubleValue worst = WorstQualityParameter.ActualValue; if (worst == null) WorstQualityParameter.ActualValue = new DoubleValue(min); else worst.Value = min; } return base.Apply(); } } }