source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking/3.3/Encodings/MultiComponentVector/ThreeWayMultiComponentVectorManipulator.cs @ 16003

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 Joseph Helm and 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.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.PackingEncoding.MultiComponentVector {
  [Item("ThreeWayMultiComponentVectorManipulator", "An operator which manipulates a PackingSequence representation.")]
  [StorableClass]
  public class ThreeWayMultiComponentVectorManipulator :  MultiComponentVectorManipulator {
    [StorableConstructor]
    protected ThreeWayMultiComponentVectorManipulator(bool deserializing) : base(deserializing) { }
    protected ThreeWayMultiComponentVectorManipulator(ThreeWayMultiComponentVectorManipulator original, Cloner cloner) : base(original, cloner) { }
    public ThreeWayMultiComponentVectorManipulator()
      : base() {
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new ThreeWayMultiComponentVectorManipulator(this, cloner);
    }

    protected override void Manipulate(IRandom random, MultiComponentVectorEncoding individual) {
      int manipulatorDecision = random.Next(0, 3);
      int affectedBin = 0;
      do {  
        affectedBin = random.Next(individual.NrOfBins);
      } while (individual.PackingInformations[affectedBin].Count <= 0);
      int affectedIndex = random.Next (individual.PackingInformations[affectedBin].Count);

      //Randomly rotate one item
      if (manipulatorDecision == 0) {
        individual.PackingInformations = SingleItemRotationMove.GetVectorAfterMove(individual, affectedBin, affectedIndex).PackingInformations;
      } 
      //Randomly change the bin-assignment for one item
      else if (manipulatorDecision == 1) {
        int targetBin = 0;
        if (individual.NrOfBins > 1)
          do { targetBin = random.Next(individual.NrOfBins); }
          while (targetBin == affectedBin);
        individual.PackingInformations = SingleGroupingMove.GetVectorAfterMove(individual, affectedBin, affectedIndex, targetBin).PackingInformations;
      }
      //Swap the sequence of two items assigned to the same bin
      else if (manipulatorDecision == 2) {
        int targetIndex = 0;
        int nrOfItems = individual.PackingInformations[affectedBin].Count;
        if (nrOfItems > 1)
          do { targetIndex = random.Next(nrOfItems); }
          while (targetIndex == affectedIndex);
        individual.PackingInformations = ChangePositionMove.GetVectorAfterMove(individual, affectedBin, affectedIndex, targetIndex).PackingInformations;
      }

    }

  }
}