1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 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 System.Collections.Generic;
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24 | using System.Text;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 |
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28 | namespace HeuristicLab.Encodings.RealVector {
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29 | /// <summary>
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30 | /// Random convex crossover for real vectors: Takes for each element the allele of the first parent times a
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31 | /// once created randomly chosen factor and adds the allele of the second parent times
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32 | /// (1 - the randomly chosen factor).
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33 | /// </summary>
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34 | public class RandomConvexCrossover : RealVectorCrossoverBase {
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35 | /// <inheritdoc select="summary"/>
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36 | public override string Description {
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37 | get { return "Random convex crossover for real vectors."; }
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38 | }
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39 |
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40 | /// <summary>
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41 | /// Performs a random convex crossover on the two given parents.
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42 | /// </summary>
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43 | /// <param name="random">The random number generator.</param>
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44 | /// <param name="parent1">The first parent vector for the crossover.</param>
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45 | /// <param name="parent2">The second parent vector for the crossover.</param>
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46 | /// <returns>The newly created real vector, resulting from the random convex crossover.</returns>
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47 | public static double[] Apply(IRandom random, double[] parent1, double[] parent2) {
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48 | int length = parent1.Length;
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49 | double[] result = new double[length];
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50 | double factor = random.NextDouble();
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51 |
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52 | for (int i = 0; i < length; i++)
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53 | result[i] = (factor * parent1[i]) + ((1 - factor) * parent2[i]);
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54 | return result;
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55 | }
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56 |
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57 | /// <summary>
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58 | /// Performs a random convex crossover operation for two given parent real vectors.
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59 | /// </summary>
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60 | /// <exception cref="InvalidOperationException">Thrown if there are not exactly two parents.</exception>
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61 | /// <param name="scope">The current scope.</param>
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62 | /// <param name="random">A random number generator.</param>
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63 | /// <param name="parents">An array containing the two real vectors that should be crossed.</param>
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64 | /// <returns>The newly created real vector, resulting from the crossover operation.</returns>
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65 | protected override double[] Cross(IScope scope, IRandom random, double[][] parents) {
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66 | if (parents.Length != 2) throw new InvalidOperationException("ERROR in RandomConvexCrossover: The number of parents is not equal to 2");
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67 | return Apply(random, parents[0], parents[1]);
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68 | }
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69 | }
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70 | }
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