#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.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Selection;

namespace HeuristicLab.Algorithms.ALPS {
  [Item("EldersEmigrator", "Moves Individuals which are too old for its current layer up to the next layer.")]
  [StorableClass]
  public sealed class EldersEmigrator : AlgorithmOperator {
    [StorableConstructor]
    private EldersEmigrator(bool deserializing)
      : base(deserializing) { }
    private EldersEmigrator(EldersEmigrator original, Cloner cloner)
      : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new EldersEmigrator(this, cloner);
    }
    public EldersEmigrator()
      : base() {
      var selectorProsessor = new UniformSubScopesProcessor();
      var eldersSelector = new EldersSelector();
      var shiftToRightMigrator = new ShiftToRightMigrator();
      var mergingProsessor = new LayerUniformSubScopesProcessor();
      var mergingReducer = new MergingReducer();
      var subScopesCounter = new SubScopesCounter();
      var countCalculator = new ExpressionCalculator() { Name = "LayerPopulationSize = Min(LayerPopulationSize, PopulationSize)" };
      var bestSelector = new BestSelector();
      var rightReducer = new RightReducer();


      OperatorGraph.InitialOperator = selectorProsessor;

      selectorProsessor.Operator = eldersSelector;
      selectorProsessor.Successor = shiftToRightMigrator;

      eldersSelector.CopySelected = new BoolValue(false);
      eldersSelector.Successor = null;

      shiftToRightMigrator.Successor = mergingProsessor;

      mergingProsessor.Operator = mergingReducer;
      mergingProsessor.Successor = null;

      mergingReducer.Successor = subScopesCounter;

      subScopesCounter.ValueParameter.ActualName = "LayerPopulationSize";
      subScopesCounter.AccumulateParameter.Value = new BoolValue(false);
      subScopesCounter.Successor = countCalculator;

      countCalculator.CollectedValues.Add(new LookupParameter<IntValue>("PopulationSize"));
      countCalculator.CollectedValues.Add(new LookupParameter<IntValue>("LayerPopulationSize"));
      countCalculator.ExpressionParameter.Value = new StringValue("LayerPopulationSize PopulationSize LayerPopulationSize PopulationSize < if toint");
      countCalculator.ExpressionResultParameter.ActualName = "LayerPopulationSize";
      countCalculator.Successor = bestSelector;

      bestSelector.NumberOfSelectedSubScopesParameter.ActualName = "LayerPopulationSize";
      bestSelector.CopySelected = new BoolValue(false);
      bestSelector.Successor = rightReducer;

      rightReducer.Successor = null;
    }
  }
}