#region License Information /* HeuristicLab * Copyright (C) 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 System; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HEAL.Attic; namespace HeuristicLab.Analysis { [Item("QualityPerEvaluationsAnalyzer", @"Creates a plot of the solution quality with respect to the number of evaluated solutions.")] [StorableType("51790BC2-9851-4234-93EF-DF1E092F4BF0")] public class QualityPerEvaluationsAnalyzer : SingleSuccessorOperator, IAnalyzer, ISingleObjectiveOperator { public virtual bool EnabledByDefault { get { return false; } } public ILookupParameter BestQualityParameter { get { return (ILookupParameter)Parameters["BestQuality"]; } } public ILookupParameter EvaluatedSolutionsParameter { get { return (ILookupParameter)Parameters["EvaluatedSolutions"]; } } public ILookupParameter EvaluatedMovesParameter { get { return (ILookupParameter)Parameters["EvaluatedMoves"]; } } public IValueLookupParameter MoveCostPerSolutionParameter { get { return (IValueLookupParameter)Parameters["MoveCostPerSolution"]; } } public IResultParameter> QualityPerEvaluationsParameter { get { return (IResultParameter>)Parameters["QualityPerEvaluations"]; } } [StorableConstructor] protected QualityPerEvaluationsAnalyzer(StorableConstructorFlag _) : base(_) { } protected QualityPerEvaluationsAnalyzer(QualityPerEvaluationsAnalyzer original, Cloner cloner) : base(original, cloner) { } public QualityPerEvaluationsAnalyzer() : base() { Parameters.Add(new LookupParameter("BestQuality", "The quality value that should be compared.")); Parameters.Add(new LookupParameter("EvaluatedSolutions", "The number of evaluated solutions.")); Parameters.Add(new LookupParameter("EvaluatedMoves", "The number of evaluated moves.")); Parameters.Add(new ValueLookupParameter("MoveCostPerSolution", "The cost to evaluate a move as a ratio to the cost of evaluating a solution.", new DoubleValue(1))); Parameters.Add(new ResultParameter>("QualityPerEvaluations", "Data table containing the first hitting graph with evaluations as the x-axis.")); QualityPerEvaluationsParameter.DefaultValue = new IndexedDataTable("Quality per Evaluations") { VisualProperties = { XAxisTitle = "Evaluations", YAxisTitle = "Quality" }, Rows = { new IndexedDataRow("First-hit Graph") { VisualProperties = { ChartType = DataRowVisualProperties.DataRowChartType.StepLine, LineWidth = 2 } } } }; } public override IDeepCloneable Clone(Cloner cloner) { return new QualityPerEvaluationsAnalyzer(this, cloner); } public override IOperation Apply() { var bestQuality = BestQualityParameter.ActualValue.Value; var evalSols = EvaluatedSolutionsParameter.ActualValue; var evalMoves = EvaluatedMovesParameter.ActualValue; var evaluations = 0.0; if (evalSols != null) evaluations += evalSols.Value; if (evalMoves != null) evaluations += evalMoves.Value * MoveCostPerSolutionParameter.ActualValue.Value; if (evaluations > 0) { var dataTable = QualityPerEvaluationsParameter.ActualValue; var values = dataTable.Rows["First-hit Graph"].Values; var newEntry = Tuple.Create(evaluations, bestQuality); if (values.Count == 0) { values.Add(newEntry); // record the first data values.Add(Tuple.Create(evaluations, bestQuality)); // last entry records max number of evaluations return base.Apply(); } var improvement = values.Last().Item2 != bestQuality; if (improvement) { values[values.Count - 1] = newEntry; // record the improvement values.Add(Tuple.Create(evaluations, bestQuality)); // last entry records max number of evaluations } else { values[values.Count - 1] = Tuple.Create(evaluations, bestQuality); // the last entry is updated } } return base.Apply(); } } }