source: branches/ALPS/HeuristicLab.Algorithms.ALPS.SteadyState/3.3/AlpsSsGeneticAlgorithmMainOperator.cs @ 12475

#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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Selection;

namespace HeuristicLab.Algorithms.ALPS.SteadyState {
  [Item("AlpsSsGeneticAlgorithmMainOperator", "")]
  [StorableClass]
  public class AlpsSsGeneticAlgorithmMainOperator : AlgorithmOperator {
    [StorableConstructor]
    private AlpsSsGeneticAlgorithmMainOperator(bool deserializing)
      : base(deserializing) { }
    private AlpsSsGeneticAlgorithmMainOperator(AlpsSsGeneticAlgorithmMainOperator original, Cloner cloner)
      : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new AlpsSsGeneticAlgorithmMainOperator(this, cloner);
    }

    public AlpsSsGeneticAlgorithmMainOperator()
      : base() {
      var selector = new Placeholder() { Name = "Selector (Placeholder)" };
      var reducer = new RightReducer();
      var crossover = new Placeholder() { Name = "Crossover (Placeholder)" };
      var mutationBranch = new StochasticBranch();
      var mutator = new Placeholder() { Name = "Mutator (Placeholder)" };
      var ageReducer = new DataReducer() { Name = "Calculate EvalsCreated" };
      var lastMoveAssigner = new Assigner() { Name = "Set LastMove" };
      var subScopesRemover = new SubScopesRemover();
      var evaluator = new Placeholder() { Name = "Evaluator (Placeholder)" };


      OperatorGraph.InitialOperator = selector;

      selector.OperatorParameter.ActualName = "Selector";
      selector.Successor = reducer;

      reducer.Successor = crossover;

      crossover.OperatorParameter.ActualName = "Crossover";
      crossover.Successor = mutationBranch;

      mutationBranch.ProbabilityParameter.ActualName = "MutationProbability";
      mutationBranch.RandomParameter.ActualName = "Random";
      mutationBranch.FirstBranch = mutator;
      mutationBranch.Successor = ageReducer;

      mutator.OperatorParameter.ActualName = "Mutator";

      ageReducer.ParameterToReduce.ActualName = "EvalsCreated";
      ageReducer.ReductionOperation.ActualName = "AgeInheritanceReduction";
      ageReducer.ReductionOperation.Value = null;
      ageReducer.TargetParameter.ActualName = "EvalsCreated";
      ageReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);
      ageReducer.Successor = lastMoveAssigner;

      lastMoveAssigner.LeftSideParameter.ActualName = "LastMove";
      lastMoveAssigner.RightSideParameter.ActualName = "EvaluatedSolutions";
      lastMoveAssigner.Successor = subScopesRemover;

      subScopesRemover.Successor = evaluator;

      evaluator.OperatorParameter.ActualName = "Evaluator";
    }
  }
}