source: branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/SelectionPressureAnalyzer.cs @ 9384

#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 <http://www.gnu.org/licenses/>.
 */
#endregion


using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
  [Item("SelectionPressureAnalyzer", "An operator that analyzes the current selection pressure.")]
  [StorableClass]
  public class SelectionPressureAnalyzer : InitializableOperator, IStatefulItem {
    private const string ResultsParameterName = "Results";
    private const string GenerationsParameterName = "Generations";
    [Storable]
    public string SolutionQualityName { get; set; }

    #region Parameter properties
    public IValueLookupParameter<BoolValue> MaximizationParameter {
      get { return (IValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
    }
    public ILookupParameter<ResultCollection> ResultsParameter {
      get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
    }
    public ILookupParameter<IntValue> GenerationsParameter {
      get { return (ILookupParameter<IntValue>)Parameters[GenerationsParameterName]; }
    }
    public ILookupParameter<DoubleValue> BestKnownQualityParameter {
      get { return (ILookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
    }
    public ILookupParameter<DoubleValue> WorstKnownQualityParameter {
      get { return (ILookupParameter<DoubleValue>)Parameters["WorstKnownQuality"]; }
    }
    public ILookupParameter<ItemArray<DoubleValue>> ParentsQualityParameter {
      get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["ParentsQuality"]; }
    }
    #endregion

    #region Properties
    public ResultCollection Results {
      get { return ResultsParameter.ActualValue; }
    }
    [Storable]
    private ScatterPlotHelper selPressurePlot, selIntensityPlot;
    [Storable]
    private int cnt = 0;
    [Storable]
    private int lastGeneration = 0;
    #endregion

    [StorableConstructor]
    private SelectionPressureAnalyzer(bool deserializing) : base(deserializing) { }
    private SelectionPressureAnalyzer(SelectionPressureAnalyzer original, Cloner cloner)
      : base(original, cloner) {
      cnt = original.cnt;
      lastGeneration = original.lastGeneration;
      selPressurePlot = (ScatterPlotHelper)original.selPressurePlot.Clone(cloner);
      selIntensityPlot = (ScatterPlotHelper)original.selIntensityPlot.Clone(cloner);
      SolutionQualityName = original.SolutionQualityName;
    }

    public SelectionPressureAnalyzer()
      : base() {
      Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
      Parameters.Add(new LookupParameter<IntValue>(GenerationsParameterName, "Nr of generations."));
      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, false otherwise"));
      Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this problem."));
      Parameters.Add(new LookupParameter<DoubleValue>("WorstKnownQuality", "The quality of the worst known solution of this problem."));
      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("ParentsQuality", "The quality of the parent solutions."));
      SolutionQualityName = "TSPTourLength";

      selPressurePlot = new ScatterPlotHelper(false, true, true, true);
      selIntensityPlot = new ScatterPlotHelper(false, true, true, true);
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new SelectionPressureAnalyzer(this, cloner);
    }

    protected override void InitializeAction() {
      selPressurePlot.InitializePlot(Results, "Selection Pressure", "Solution Index", "Quality Difference");
      selIntensityPlot.InitializePlot(Results, "Selection Intensity", "Solution Index", "Scaled Quality Difference");
      ParentsQualityParameter.ActualName = SolutionQualityName;

      Reset();
    }

    public override IOperation Apply() {
      Initialize();

      string curGenStr = GenerationsParameter.ActualValue.Value.ToString();

      IScope oldPop = ReverseScopeTreeLookup("Remaining");
      if (oldPop == null)
        throw new Exception("Couldn't find the remaining scope");

      if (GenerationsParameter.ActualValue.Value != 0) {
        if (GenerationsParameter.ActualValue.Value > lastGeneration) {
          Reset();
        }

        double oldPopQuality = 0.0;
        List<double> qValues = new List<double>();
        int popSize = 0;
        foreach (IScope oldSolScope in oldPop.SubScopes) {
          double curQuality = ((DoubleValue)oldSolScope.Variables[SolutionQualityName].Value).Value;
          oldPopQuality += curQuality;
          qValues.Add(curQuality);
          popSize++;
        }

        double quality = ParentsQualityParameter.ActualValue.Average(x => x.Value);

        if (GenerationsParameter.ActualValue.Value == 1) {
          double bkQuality = BestKnownQualityParameter.ActualValue.Value;
          double wkQuality = WorstKnownQualityParameter.ActualValue.Value;

          if (MaximizationParameter.ActualValue.Value) {
            if (selPressurePlot.Max == double.MinValue) {
              selPressurePlot.Max = bkQuality - wkQuality;
              selPressurePlot.Min = 0;
              selIntensityPlot.Max = bkQuality - wkQuality;
              selIntensityPlot.Min = 0;
            }
          } else {
            if (selPressurePlot.Min == double.MaxValue) {
              selPressurePlot.Max = wkQuality - bkQuality;
              selPressurePlot.Min = 0;
              selIntensityPlot.Max = wkQuality - bkQuality;
              selIntensityPlot.Min = 0;
            }
          }
        }

        Point2D<double> popQualityPoint, selectionIntensityPoint;
        if (MaximizationParameter.ActualValue.Value) {
          popQualityPoint = new Point2D<double>(cnt, quality - (oldPopQuality / popSize));
          selectionIntensityPoint = new Point2D<double>(cnt, (quality - (oldPopQuality / popSize) / qValues.StandardDeviation()));
        } else {
          popQualityPoint = new Point2D<double>(cnt, (oldPopQuality / popSize) - quality);
          selectionIntensityPoint = new Point2D<double>(cnt, ((oldPopQuality / popSize) - quality) / qValues.StandardDeviation());
        }

        selPressurePlot.AddPoint(curGenStr, popQualityPoint);
        selIntensityPlot.AddPoint(curGenStr, selectionIntensityPoint);
      }

      return base.Apply();
    }

    private void Reset() {
      cnt = 0;
      lastGeneration = GenerationsParameter.ActualValue.Value;
    }

    public override void ClearState() {
      selPressurePlot.CleanUp();
      selIntensityPlot.CleanUp();
    }

    private IScope ReverseScopeTreeLookup(string scopeName) {
      var currentScope = ExecutionContext.Scope;
      while (currentScope != null) {
        var scopes = currentScope.SubScopes.Where(x => x.Name == scopeName);
        if (scopes.Count() > 0)
          return scopes.First();

        currentScope = currentScope.Parent;
      }
      return null;
    }
  }
}