source: trunk/sources/HeuristicLab.FixedOperators/3.2/FixedSGAMain.cs @ 1681

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2008 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.Text;
using System.Linq;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Permutation;
using HeuristicLab.Evolutionary;
using HeuristicLab.Operators;
using HeuristicLab.Routing.TSP;
using HeuristicLab.Logging;
using System.Diagnostics;
using HeuristicLab.Selection;

namespace HeuristicLab.FixedOperators {
  class FixedSGAMain : CombinedOperator {
    public override string Description {
      get { return @"Implements the functionality of SGAMain with fixed control structures. Operators like selection, crossover, mutation and evaluation are delegated."; }
    }

    // Shared
    Sorter sorter;

    // CreateChildren
    Counter counter;
    IRandom random;
    DoubleData probability;
    ChildrenInitializer ci;
    OperatorBase crossover;
    OperatorBase mutator;
    OperatorBase evaluator;
    SubScopesRemover sr;

    // CreateReplacement
    LeftSelector ls;
    RightReducer rr;
    RightSelector rs;
    LeftReducer lr;
    MergingReducer mr;


    long[] timesExecuteCreateChildren;

    public FixedSGAMain()
      : base() {
      AddVariableInfo(new VariableInfo("Selector", "Selection strategy for SGA", typeof(OperatorBase), VariableKind.In));
      AddVariableInfo(new VariableInfo("MaximumGenerations", "Maximum number of generations to create", typeof(IntData), VariableKind.In));
      AddVariableInfo(new VariableInfo("Generations", "Number of processed generations", typeof(IntData), VariableKind.In | VariableKind.Out));
      Name = "FixedSGAMain";

      sorter = new Sorter();
      sorter.GetVariableInfo("Descending").ActualName = "Maximization";
      sorter.GetVariableInfo("Value").ActualName = "Quality";

      InitVariablesForCreateChildren();
      InitVariablesForCreateReplacement();
    }

    private void InitVariablesForCreateReplacement() {
      ls = new LeftSelector();
      rr = new RightReducer();
      rs = new RightSelector();
      lr = new LeftReducer();
      mr = new MergingReducer();

      ls.GetVariableInfo("Selected").ActualName = "Elites";
      rs.GetVariableInfo("Selected").ActualName = "Elites";

    }

    protected void InitVariablesForCreateChildren() {
      // variables for create children
      ci = new ChildrenInitializer();

      // variables infos
      AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(IRandom), VariableKind.In));
      AddVariableInfo(new VariableInfo("MutationRate", "Probability to choose first branch", typeof(DoubleData), VariableKind.In));
      AddVariableInfo(new VariableInfo("Crossover", "Crossover strategy for SGA", typeof(OperatorBase), VariableKind.In));
      AddVariableInfo(new VariableInfo("Mutator", "Mutation strategy for SGA", typeof(OperatorBase), VariableKind.In));
      AddVariableInfo(new VariableInfo("Evaluator", "Evaluation strategy for SGA", typeof(OperatorBase), VariableKind.In));

      sr = new SubScopesRemover();
      sr.GetVariableInfo("SubScopeIndex").Local = true;

      counter = new Counter();
      counter.GetVariableInfo("Value").ActualName = "EvaluatedSolutions";
    }

    public override IOperation Apply(IScope scope) {
      Stopwatch swApply = new Stopwatch();
      swApply.Start();
      //base.Apply(scope); // noch nachfragen ob das auch in ordnung wäre
      for (int i = 0; i < SubOperators.Count; i++) {
        if (scope.GetVariable(SubOperators[i].Name) != null)
          scope.RemoveVariable(SubOperators[i].Name);
        scope.AddVariable(new Variable(SubOperators[i].Name, SubOperators[i]));
      }

      OperatorBase selector = (OperatorBase)GetVariableValue("Selector", scope, true);
      QualityLogger ql = new QualityLogger();

      BestAverageWorstQualityCalculator bawqc = new BestAverageWorstQualityCalculator();
      DataCollector dc = new DataCollector();
      ItemList<StringData> names = dc.GetVariable("VariableNames").GetValue<ItemList<StringData>>();
      names.Add(new StringData("BestQuality"));
      names.Add(new StringData("AverageQuality"));
      names.Add(new StringData("WorstQuality"));

      LinechartInjector lci = new LinechartInjector();
      lci.GetVariableInfo("Linechart").ActualName = "Quality Linechart";
      lci.GetVariable("NumberOfLines").GetValue<IntData>().Data = 3;

      LessThanComparator ltc = new LessThanComparator();
      ltc.GetVariableInfo("LeftSide").ActualName = "Generations";
      ltc.GetVariableInfo("RightSide").ActualName = "MaximumGenerations";
      ltc.GetVariableInfo("Result").ActualName = "GenerationsCondition";

      IntData maxGenerations = GetVariableValue<IntData>("MaximumGenerations", scope, true);
      IntData nrOfGenerations = GetVariableValue<IntData>("Generations", scope, true);

      InitializeExecuteCreateChildren(scope);
      Stopwatch watch = new Stopwatch();
      long[] times = new long[10];
      timesExecuteCreateChildren = new long[10];
      for (int i = nrOfGenerations.Data; i < maxGenerations.Data && !Canceled; i++) {
        watch.Start();
        selector.Execute(scope);
        watch.Stop();
        times[0] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        ExecuteCreateChildrenWithFixedControlStructures(scope.SubScopes[1]);
        watch.Stop();
        times[1] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        ExecuteCreateReplacementWithFixedConstrolStructures(scope);
        watch.Stop();
        times[2] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        ql.Execute(scope);
        watch.Stop();
        times[3] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        bawqc.Execute(scope);
        watch.Stop();
        times[4] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        dc.Execute(scope);
        watch.Stop();
        times[5] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        lci.Execute(scope);
        watch.Stop();
        times[6] += watch.ElapsedTicks;
        watch.Reset();
        watch.Start();
        nrOfGenerations.Data++;
      }

      swApply.Stop();
      Console.WriteLine("SGAMain.Apply(): {0}", swApply.Elapsed);

      if (Canceled)
        return new AtomicOperation(this, scope);

      return null;
    } // Apply

  

    /// <summary>
    /// Initializes some variables needed before the execution of create children
    /// </summary>
    /// <param name="scope"></param>
    private void InitializeExecuteCreateChildren(IScope scope) {
      crossover = (OperatorBase)GetVariableValue("Crossover", scope, true);
      mutator = (OperatorBase)GetVariableValue("Mutator", scope, true);
      evaluator = GetVariableValue<OperatorBase>("Evaluator", scope, true);

      random = GetVariableValue<IRandom>("Random", scope, true);
      probability = GetVariableValue<DoubleData>("MutationRate", scope, true);

      ci = new ChildrenInitializer();
    }

    protected void ExecuteCreateChildrenWithFixedControlStructures(IScope scope) {
      // ChildrenInitializer
      ci.Apply(scope);
      // UniformSequentialSubScopesProcessor
      foreach (IScope s in scope.SubScopes) {
        crossover.Execute(s);
        // Stochastic Branch
        if (random.NextDouble() < probability.Data)
          mutator.Execute(s);
        evaluator.Execute(s);
        sr.Execute(s);
        counter.Execute(s);
      } // foreach

      sorter.Execute(scope);
    } // ExecuteCreateChildrenHWCS

    private void ExecuteCreateReplacementWithFixedConstrolStructures(IScope scope) {
      // SequentialSubScopesProcessor
      ls.Execute(scope.SubScopes[0]);
      rr.Execute(scope.SubScopes[0]);

      rs.Execute(scope.SubScopes[1]);
      lr.Execute(scope.SubScopes[1]);

      mr.Execute(scope);
      sorter.Execute(scope);
    } // ExecuteCreateReplacementWithFixedConstrolStructures
  } // class FixedSGAMain
} // namespace HeuristicLab.FixedOperators