[2900] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15583] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[2900] | 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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[4722] | 23 | using HeuristicLab.Common;
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[2900] | 24 | using HeuristicLab.Core;
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[2928] | 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[2900] | 26 |
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[3053] | 27 | namespace HeuristicLab.Encodings.RealVectorEncoding {
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[2900] | 28 | /// <summary>
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| 29 | /// Discrete crossover for real vectors: For each position in the new vector an allele
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| 30 | /// of one of the parents is randomly selected.
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| 31 | /// </summary>
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[2928] | 32 | /// <remarks>
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| 33 | /// This operator is also called dominant recombination and unlike other crossovers works on more than two parents also.<br />
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| 34 | /// It is implemented as described in Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies - A Comprehensive Introduction Natural Computing, 1, pp. 3-52.
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| 35 | /// </remarks>
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| 36 | [Item("DiscreteCrossover", "Discrete crossover for real vectors: Creates a new offspring by combining the alleles in the parents such that each allele is randomly selected from one parent. It is implemented as described in Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies - A Comprehensive Introduction Natural Computing, 1, pp. 3-52.")]
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[3017] | 37 | [StorableClass]
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[2928] | 38 | public class DiscreteCrossover : RealVectorCrossover {
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[4722] | 39 | [StorableConstructor]
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| 40 | protected DiscreteCrossover(bool deserializing) : base(deserializing) { }
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| 41 | protected DiscreteCrossover(DiscreteCrossover original, Cloner cloner) : base(original, cloner) { }
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| 42 | public DiscreteCrossover() : base() { }
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| 43 |
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| 44 | public override IDeepCloneable Clone(Cloner cloner) {
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| 45 | return new DiscreteCrossover(this, cloner);
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| 46 | }
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| 47 |
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[2900] | 48 | /// <summary>
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[2928] | 49 | /// Performs a discrete crossover operation on multiple parents.
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[2900] | 50 | /// </summary>
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[2928] | 51 | /// <exception cref="ArgumentException">Thrown when the vectors of the parents are of different length.</exception>
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[2900] | 52 | /// <param name="random">A random number generator.</param>
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| 53 | /// <param name="parents">An array containing the parents that should be crossed.</param>
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| 54 | /// <returns>The newly created real vector, resulting from the crossover operation.</returns>
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[3060] | 55 | public static RealVector Apply(IRandom random, ItemArray<RealVector> parents) {
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[2900] | 56 | int length = parents[0].Length;
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[4068] | 57 |
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| 58 | for (int i = 0; i < parents.Length; i++) {
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| 59 | if (parents[i].Length != length)
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[2936] | 60 | throw new ArgumentException("DiscreteCrossover: The parents' vectors are of different length.", "parents");
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| 61 | }
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[4068] | 62 |
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[3060] | 63 | RealVector result = new RealVector(length);
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[2936] | 64 | for (int i = 0; i < length; i++) {
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| 65 | result[i] = parents[random.Next(parents.Length)][i];
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[4068] | 66 | }
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| 67 |
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[2900] | 68 | return result;
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| 69 | }
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| 70 |
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| 71 | /// <summary>
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[3060] | 72 | /// Checks number of parents and forwards the call to <see cref="Apply(IRandom, ItemArray<RealVector>)"/>.
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[2900] | 73 | /// </summary>
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[2928] | 74 | /// <exception cref="ArgumentException">Thrown when <paramref name="parents"/> contains less than 2 elements.</exception>
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| 75 | /// <param name="random">The random number generator.</param>
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| 76 | /// <param name="parents">The collection of parents (must be of size 2 or greater).</param>
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| 77 | /// <returns>The real vector resulting from the crossover.</returns>
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[3060] | 78 | protected override RealVector Cross(IRandom random, ItemArray<RealVector> parents) {
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[2928] | 79 | if (parents.Length < 2) throw new ArgumentException("DiscreteCrossover: The number of parents is less than 2.", "parents");
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[2900] | 80 | return Apply(random, parents);
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| 81 | }
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| 82 | }
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| 83 | }
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