1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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26 |
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27 | namespace HeuristicLab.Encodings.RealVectorEncoding {
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28 | /// <summary>
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29 | /// The local crossover for real vectors is similar to the <see cref="UniformAllPositionsArithmeticCrossover"/>, but where the factor alpha is chosen randomly in the interval [0;1) for each position.
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30 | /// </summary>
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31 | /// <remarks>
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32 | /// It is implemented as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL, p. 194.
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33 | /// </remarks>
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34 | [Item("LocalCrossover", @"The local crossover is similar to the arithmetic all positions crossover, but uses a random alpha for each position x = alpha * p1 + (1-alpha) * p2. It is implemented as described in Dumitrescu, D. et al. (2000), Evolutionary computation, CRC Press, Boca Raton, FL., p. 194.")]
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35 | [StorableClass]
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36 | public class LocalCrossover : RealVectorCrossover {
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37 | [StorableConstructor]
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38 | protected LocalCrossover(bool deserializing) : base(deserializing) { }
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39 | protected LocalCrossover(LocalCrossover original, Cloner cloner) : base(original, cloner) { }
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40 | public LocalCrossover() : base() { }
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41 |
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42 | public override IDeepCloneable Clone(Cloner cloner) {
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43 | return new LocalCrossover(this, cloner);
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44 | }
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45 |
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46 | /// <summary>
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47 | /// Performs a local crossover on the two given parent vectors.
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48 | /// </summary>
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49 | /// <exception cref="ArgumentException">Thrown when two parents are not of the same length.</exception>
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50 | /// <param name="random">The random number generator.</param>
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51 | /// <param name="parent1">The first parent for the crossover operation.</param>
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52 | /// <param name="parent2">The second parent for the crossover operation.</param>
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53 | /// <returns>The newly created real vector, resulting from the local crossover.</returns>
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54 | public static RealVector Apply(IRandom random, RealVector parent1, RealVector parent2) {
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55 | if (parent1.Length != parent2.Length)
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56 | throw new ArgumentException("LocalCrossover: the two parents are not of the same length");
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57 |
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58 | double factor;
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59 | int length = parent1.Length;
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60 | double[] result = new double[length];
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61 |
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62 | for (int i = 0; i < length; i++) {
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63 | factor = random.NextDouble();
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64 | result[i] = (factor * parent1[i]) + ((1 - factor) * parent2[i]);
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65 | }
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66 | return new RealVector(result);
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67 | }
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68 |
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69 | /// <summary>
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70 | /// Performs a local crossover operation for two given parent real vectors.
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71 | /// </summary>
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72 | /// <exception cref="ArgumentException">Thrown if there are not exactly two parents.</exception>
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73 | /// <param name="random">A random number generator.</param>
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74 | /// <param name="parents">An array containing the two real vectors that should be crossed.</param>
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75 | /// <returns>The newly created real vector, resulting from the crossover operation.</returns>
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76 | protected override RealVector Cross(IRandom random, ItemArray<RealVector> parents) {
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77 | if (parents.Length != 2) throw new ArgumentException("LocalCrossover: The number of parents is not equal to 2");
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78 | return Apply(random, parents[0], parents[1]);
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79 | }
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80 | }
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81 | }
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