source: trunk/sources/HeuristicLab.Encodings.RealVector/3.3/Crossovers/RandomConvexCrossover.cs @ 2936

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2010 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 HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.RealVector {
  /// <summary>
  /// Random convex crossover for real vectors: Takes for each element the allele of the first parent times a 
  /// once created randomly chosen factor and adds the allele of the second parent times 
  /// (1 - the randomly chosen factor).
  /// </summary>
  /// <remarks>
  /// It is implemented as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL, pp. 193 - 194.
  /// </remarks>
  [Item("RandomConvexCrossover", "Random convex crossover for real vectors: Takes for each element the allele of the first parent times a once created randomly chosen factor and adds the allele of the second parent times (1 - the randomly chosen factor). " +
    "It is implementes as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL, pp. 193 - 194.")]
  [EmptyStorableClass]
  public class RandomConvexCrossover : RealVectorCrossover {
    /// <summary>
    /// Performs a random convex crossover on the two given parents.
    /// </summary>
    /// <exception cref="ArgumentException">Thrown when two parents are not of the same length.</exception>
    /// <param name="random">The random number generator.</param>
    /// <param name="parent1">The first parent vector for the crossover.</param>
    /// <param name="parent2">The second parent vector for the crossover.</param>
    /// <returns>The newly created real vector, resulting from the random convex crossover.</returns>
    public static DoubleArrayData Apply(IRandom random, DoubleArrayData parent1, DoubleArrayData parent2) {
      if (parent1.Length != parent2.Length)
        throw new ArgumentException("ERROR in RandomConvexCrossover: the two parents are not of the same length");
      
      int length = parent1.Length;
      double[] result = new double[length];
      double factor = random.NextDouble();

      for (int i = 0; i < length; i++)
        result[i] = (factor * parent1[i]) + ((1 - factor) * parent2[i]);
      return new DoubleArrayData(result);
    }

    /// <summary>
    /// Performs a random convex crossover operation for two given parent real vectors.
    /// </summary>
    /// <exception cref="ArgumentException">Thrown if there are not exactly two parents.</exception>
    /// <param name="random">A random number generator.</param>
    /// <param name="parents">An array containing the two real vectors that should be crossed.</param>
    /// <returns>The newly created real vector, resulting from the crossover operation.</returns>
    protected override DoubleArrayData Cross(IRandom random, ItemArray<DoubleArrayData> parents) {
      if (parents.Length != 2) throw new ArgumentException("ERROR in RandomConvexCrossover: The number of parents is not equal to 2");
      return Apply(random, parents[0], parents[1]);
    }
  }
}