source: branches/SuccessProgressAnalysis/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SuccessProgressAnalysis/SuccessProgressAnalyzer.cs @ 5492

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2011 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 System.Text;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Common;
using HeuristicLab.Parameters;
using HeuristicLab.Data;
using HeuristicLab.Analysis;

namespace HeuristicLab.Algorithms.OffspringSelectionAlgorithm.SuccessProgressAnalysis {
  /// <summary>
  /// An operator for analyzing the solution diversity in a population.
  /// </summary>
  [Item("SuccessProgressAnalyzer", "An operator for analyzing the success progress in a population.")]
  [StorableClass]
  public sealed class SuccessProgressAnalyzer: SingleSuccessorOperator, IAnalyzer {
    public ValueParameter<StringValue> SuccessfulOffspringFlag {
      get { return (ValueParameter<StringValue>)Parameters["SuccessfulOffspringFlag"]; }
    }

    public ValueParameter<ItemCollection<StringValue>> CollectedValues {
      get { return (ValueParameter<ItemCollection<StringValue>>)Parameters["CollectedValues"]; }
    }

    public ValueLookupParameter<ResultCollection> ResultsParameter {
      get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
    }

    public LookupParameter<IntValue> Generations {
      get { return (LookupParameter<IntValue>)Parameters["Generations"]; }
    }
    
    public override IDeepCloneable Clone(Cloner cloner) {
      return new SuccessProgressAnalyzer(this, cloner);
    }    
    [StorableConstructor]
    private SuccessProgressAnalyzer(bool deserializing) : base(deserializing) { }
    private SuccessProgressAnalyzer(SuccessProgressAnalyzer original, Cloner cloner) : base(original, cloner) { }
    public SuccessProgressAnalyzer()
      : base() {
        Parameters.Add(new ValueParameter<StringValue>("SuccessfulOffspringFlag", "Indicates if the individual was successful.", new StringValue("SuccessfulOffspring")));
        Parameters.Add(new ValueParameter<ItemCollection<StringValue>>("CollectedValues", "The values that should be collected.", new ItemCollection<StringValue>()));
        Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the succedd progress analysis results should be stored."));
        Parameters.Add(new LookupParameter<IntValue>("Generations", "The current number of generations."));
    }

    public override IOperation Apply() {
      ResultCollection results = ResultsParameter.ActualValue;
      
      ItemCollection<StringValue> collectedValues = CollectedValues.Value;
        foreach (StringValue collected in collectedValues) {
          Dictionary<String, int> counts = new Dictionary<String, int>();
          for (int i = 0; i < ExecutionContext.Scope.SubScopes.Count; i++) {
            IScope child = ExecutionContext.Scope.SubScopes[i];
            string successfulOffspringFlag = SuccessfulOffspringFlag.Value.Value;
            if (child.Variables.ContainsKey(collected.Value) && 
                child.Variables.ContainsKey(successfulOffspringFlag) && 
                (child.Variables[successfulOffspringFlag].Value is BoolValue) &&
                (child.Variables[successfulOffspringFlag].Value as BoolValue).Value) {
              String key = child.Variables[collected.Value].Value.ToString();

              if (!counts.ContainsKey(key))
                counts.Add(key, 1);
              else
                counts[key]++;
            }
          }

          DataTable successProgressAnalysis;
          string resultKey = "Success Progress " + collected.Value;
          if (!results.ContainsKey(resultKey)) {
            successProgressAnalysis = new DataTable();
            successProgressAnalysis.Name = "Success Progress Analysis";
            results.Add(new Result(resultKey, successProgressAnalysis));
          } else {
            successProgressAnalysis = results[resultKey].Value as DataTable;
          }

          int successfulCount = 0;
          foreach (string key in counts.Keys) {
            successfulCount += counts[key];
          }

          foreach(String value in counts.Keys) {            
            DataRow row;
            if (!successProgressAnalysis.Rows.ContainsKey(value)) {
              row = new DataRow(value);
              int iterations = Generations.ActualValue.Value;

              for (int i = 1; i < iterations; i++)
                row.Values.Add(0);

              successProgressAnalysis.Rows.Add(row);
            } else {
              row = successProgressAnalysis.Rows[value];
            }

            row.Values.Add(counts[value] / (double)successfulCount);
          }

          foreach (DataRow row in successProgressAnalysis.Rows) {
            if (!counts.ContainsKey(row.Name))
              row.Values.Add(0);
          }
        }  

      return base.Apply();
    }
  }
}