source: branches/1772_HeuristicLab.EvolutionTracking/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Tracking/Analyzers/SymbolicDataAnalysisFragmentLengthAnalyzer.cs @ 17434

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 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.Collections.Generic;
using System.Linq;
using HEAL.Attic;
using HeuristicLab.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.EvolutionTracking;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;

namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Tracking.Analyzers {
  [Item("SymbolicDataAnalysisFragmentLengthAnalyzer", "An analyzer for fragment length.")]
  [StorableType("5CA12C3B-BB01-46FE-BCC4-367F2FD5987A")]
  public class SymbolicDataAnalysisFragmentLengthAnalyzer : EvolutionTrackingAnalyzer<ISymbolicExpressionTree> {
    private const string StoreHistoryParameterName = "StoryHistory";

    public IFixedValueParameter<BoolValue> StoreHistoryParameter {
      get { return (IFixedValueParameter<BoolValue>)Parameters[StoreHistoryParameterName]; }
    }

    public bool StoreHistory {
      get { return StoreHistoryParameter.Value.Value; }
      set { StoreHistoryParameter.Value.Value = value; }
    }

    [StorableConstructor]
    protected SymbolicDataAnalysisFragmentLengthAnalyzer(StorableConstructorFlag _) : base(_) { }

    public SymbolicDataAnalysisFragmentLengthAnalyzer() {
      UpdateCounterParameter.ActualName = "FragmentLengthAnalyzerUpdateCounter";

      Parameters.Add(new FixedValueParameter<BoolValue>(StoreHistoryParameterName, new BoolValue(false)));
    }

    protected SymbolicDataAnalysisFragmentLengthAnalyzer(SymbolicDataAnalysisFragmentLengthAnalyzer original, Cloner cloner) : base(original, cloner) { }

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

    public override IOperation Apply() {
      int updateInterval = UpdateIntervalParameter.Value.Value;
      IntValue updateCounter = UpdateCounterParameter.ActualValue;
      // if counter does not yet exist then initialize it with update interval
      // to make sure the solutions are analyzed on the first application of this operator
      if (updateCounter == null) {
        updateCounter = new IntValue(updateInterval);
        UpdateCounterParameter.ActualValue = updateCounter;
      }
      //analyze solutions only every 'updateInterval' times
      if (updateCounter.Value != updateInterval) {
        updateCounter.Value++;
        return base.Apply();
      }
      updateCounter.Value = 1;

      if (PopulationGraph == null || Generation.Value == 0)
        return base.Apply();

      // consider all fragments (including those of the intermediate crossover children)
      var vertices = PopulationGraph.Vertices.Where(x => x.Rank > Generation.Value - 1);
      var crossoverFragmentLengthDistribution = new List<double>();
      var replacedCrossoverFragmentLengthDistribution = new List<double>();
      var mutationFragmentLengthDistribution = new List<double>();
      var replacedMutationFragmentLengthDistribution = new List<double>();
      foreach (var v in vertices) {
        if (!v.InArcs.Any() || v.InArcs.Last().Data == null)
          continue;
        var fragment = (IFragment<ISymbolicExpressionTreeNode>)v.InArcs.Last().Data;
        if (v.InDegree == 2) {
          crossoverFragmentLengthDistribution.Add(fragment.Root.GetLength());
          int index = 0;
          foreach (var s in v.Parents.First().Data.IterateNodesPrefix()) {
            if (index == fragment.Index1) {
              replacedCrossoverFragmentLengthDistribution.Add(s.GetLength());
              break;
            }
            index++;
          }
        } else {
          mutationFragmentLengthDistribution.Add(fragment.Root.GetLength());
          int index = 0;
          foreach (var s in v.Parents.First().Data.IterateNodesPrefix()) {
            if (index == fragment.Index1) {
              replacedMutationFragmentLengthDistribution.Add(s.GetLength());
              break;
            }
            index++;
          }
        }
      }
      var avgCXFragmentLength = crossoverFragmentLengthDistribution.Any() ? crossoverFragmentLengthDistribution.Average() : 0;
      var avgReplacedCXFragmentLength = replacedCrossoverFragmentLengthDistribution.Any() ? replacedCrossoverFragmentLengthDistribution.Average() : 0;
      var avgMutFragmentLength = mutationFragmentLengthDistribution.Any() ? mutationFragmentLengthDistribution.Average() : 0;
      var avgReplacedMutFragmentLength = replacedMutationFragmentLengthDistribution.Any() ? replacedMutationFragmentLengthDistribution.Average() : 0;
      var avgFragmentLength = (avgCXFragmentLength + avgMutFragmentLength) / 2d;
      DataTable table;
      if (!Results.ContainsKey("AverageFragmentLength")) {
        table = new DataTable("Average fragment length");
        var row = new DataRow("Average fragment length") { VisualProperties = { StartIndexZero = true } };
        row.Values.Add(avgFragmentLength);
        table.Rows.Add(row);
        row = new DataRow("Average crossover fragment length") { VisualProperties = { StartIndexZero = true } };
        row.Values.Add(avgCXFragmentLength);
        table.Rows.Add(row);
        row = new DataRow("Average replaced crossover fragment length") { VisualProperties = { StartIndexZero = true } };
        row.Values.Add(avgReplacedCXFragmentLength);
        table.Rows.Add(row);
        row = new DataRow("Average mutation fragment length") { VisualProperties = { StartIndexZero = true } };
        row.Values.Add(avgMutFragmentLength);
        table.Rows.Add(row);
        row = new DataRow("Average replaced mutation fragment length") { VisualProperties = { StartIndexZero = true } };
        row.Values.Add(avgReplacedMutFragmentLength);
        table.Rows.Add(row);
        Results.Add(new Result("AverageFragmentLength", table));
      } else {
        table = (DataTable)Results["AverageFragmentLength"].Value;
        table.Rows["Average fragment length"].Values.Add(avgFragmentLength);
        table.Rows["Average crossover fragment length"].Values.Add(avgCXFragmentLength);
        table.Rows["Average replaced crossover fragment length"].Values.Add(avgReplacedCXFragmentLength);
        table.Rows["Average mutation fragment length"].Values.Add(avgMutFragmentLength);
        table.Rows["Average replaced mutation fragment length"].Values.Add(avgReplacedMutFragmentLength);
      }
      if (!Results.ContainsKey("FragmentLengthDistribution")) {
        table = new DataTable("Table length distribution");
        var row = new DataRow("Crossover fragment length distribution") { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Histogram } };
        row.Values.Replace(crossoverFragmentLengthDistribution);
        table.Rows.Add(row);
        row = new DataRow("Replaced crossover fragment length distribution") { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Histogram } };
        row.Values.Replace(replacedCrossoverFragmentLengthDistribution);
        table.Rows.Add(row);
        row = new DataRow("Mutation fragment length distribution") { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Histogram } };
        row.Values.Replace(mutationFragmentLengthDistribution);
        table.Rows.Add(row);
        row = new DataRow("Replaced mutation fragment length distribution") { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Histogram } };
        row.Values.Replace(replacedMutationFragmentLengthDistribution);
        table.Rows.Add(row);
        Results.Add(new Result("FragmentLengthDistribution", table));
      } else {
        table = (DataTable)Results["FragmentLengthDistribution"].Value;
        table.Rows["Crossover fragment length distribution"].Values.Replace(crossoverFragmentLengthDistribution);
        table.Rows["Mutation fragment length distribution"].Values.Replace(mutationFragmentLengthDistribution);
        table.Rows["Replaced crossover fragment length distribution"].Values.Replace(replacedCrossoverFragmentLengthDistribution);
        table.Rows["Replaced mutation fragment length distribution"].Values.Replace(replacedMutationFragmentLengthDistribution);
      }
      if (StoreHistory) {
        if (!Results.ContainsKey("FragmentLengthDistributionHistory")) {
          var history = new DataTableHistory();
          history.Add((DataTable)table.Clone());
          Results.Add(new Result("FragmentLengthDistributionHistory", history));
        } else {
          var history = (DataTableHistory)Results["FragmentLengthDistributionHistory"].Value;
          history.Add((DataTable)table.Clone());
        }
      }
      return base.Apply();
    }
  }
}