[2900] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 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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[2936] | 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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[2964] | 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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[2900] | 30 | /// </summary>
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[2936] | 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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[2964] | 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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[3017] | 35 | [StorableClass]
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[2936] | 36 | public class LocalCrossover : RealVectorCrossover {
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[4722] | 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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[2900] | 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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[2936] | 49 | /// <exception cref="ArgumentException">Thrown when two parents are not of the same length.</exception>
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[2900] | 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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[3060] | 54 | public static RealVector Apply(IRandom random, RealVector parent1, RealVector parent2) {
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[2936] | 55 | if (parent1.Length != parent2.Length)
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[2964] | 56 | throw new ArgumentException("LocalCrossover: the two parents are not of the same length");
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[4068] | 57 |
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[2900] | 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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[3060] | 66 | return new RealVector(result);
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[2900] | 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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[2936] | 72 | /// <exception cref="ArgumentException">Thrown if there are not exactly two parents.</exception>
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[2900] | 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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[3060] | 76 | protected override RealVector Cross(IRandom random, ItemArray<RealVector> parents) {
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[2964] | 77 | if (parents.Length != 2) throw new ArgumentException("LocalCrossover: The number of parents is not equal to 2");
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[2900] | 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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