source: branches/LearningClassifierSystems/HeuristicLab.Encodings.CombinedIntegerVectorEncoding/3.3/Crossovers/SinglePointCrossover.cs @ 9089

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.CombinedIntegerVectorEncoding {
  [Item("SinglePointCrossover", "Single point crossover for integer vectors. It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
  [StorableClass]
  public class SinglePointCrossover : CombinedIntegerVectorCrossover {
    [StorableConstructor]
    protected SinglePointCrossover(bool deserializing) : base(deserializing) { }
    protected SinglePointCrossover(SinglePointCrossover original, Cloner cloner) : base(original, cloner) { }
    public SinglePointCrossover() : base() { }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new SinglePointCrossover(this, cloner);
    }

    protected override CombinedIntegerVector Cross(IRandom random, ItemArray<CombinedIntegerVector> parents) {
      if (parents.Length != 2) throw new ArgumentException("ERROR in SinglePointCrossover: The number of parents is not equal to 2");
      return new CombinedIntegerVector(HeuristicLab.Encodings.IntegerVectorEncoding.SinglePointCrossover.Apply(random, parents[0], parents[1]), parents[0].ActionLength, parents[0].Bounds);
    }
  }
}