[6406] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14185] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[6406] | 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.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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[14927] | 27 | using HeuristicLab.Persistence;
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[6406] | 28 |
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| 29 | namespace HeuristicLab.Encodings.ScheduleEncoding.PermutationWithRepetition {
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[6475] | 30 | [Item("PWRPPXCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")]
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[14927] | 31 | [StorableType("03fff36b-d5de-4982-a4ad-dff2febe3ca5")]
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[6406] | 32 | public class PWRPPXCrossover : PWRCrossover {
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[8887] | 33 |
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[6406] | 34 | [StorableConstructor]
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[15018] | 35 | protected PWRPPXCrossover(StorableConstructorFlag deserializing) : base(deserializing) { }
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[8887] | 36 | protected PWRPPXCrossover(PWRPPXCrossover original, Cloner cloner) : base(original, cloner) { }
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| 37 | public PWRPPXCrossover() : base() { }
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| 38 |
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[6406] | 39 | public override IDeepCloneable Clone(Cloner cloner) {
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| 40 | return new PWRPPXCrossover(this, cloner);
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| 41 | }
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| 42 |
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| 43 | public static PWREncoding Apply(IRandom random, PWREncoding parent1, PWREncoding parent2) {
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[8887] | 44 | var result = new PWREncoding();
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| 45 | var p1 = ((IntegerVector)(parent1.PermutationWithRepetition.Clone())).ToList();
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| 46 | var p2 = ((IntegerVector)(parent2.PermutationWithRepetition.Clone())).ToList();
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| 47 | var child = new List<int>();
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[6406] | 48 |
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[8887] | 49 | var lookUpTable = new bool[parent1.PermutationWithRepetition.Length];
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[6406] | 50 | for (int i = 0; i < lookUpTable.Length; i++) {
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| 51 | lookUpTable[i] = random.Next(2) == 1;
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| 52 | }
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| 53 |
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| 54 | foreach (bool b in lookUpTable) {
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| 55 | if (b) {
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| 56 | child.Add(p1[0]);
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| 57 | p2.Remove(p1[0]);
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| 58 | p1.RemoveAt(0);
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| 59 | } else {
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| 60 | child.Add(p2[0]);
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| 61 | p1.Remove(p2[0]);
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| 62 | p2.RemoveAt(0);
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| 63 | }
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| 64 | }
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| 65 |
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| 66 | result.PermutationWithRepetition = new IntegerVector(child.ToArray());
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| 67 |
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| 68 | return result;
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| 69 | }
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| 70 |
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| 71 | public override PWREncoding Cross(IRandom random, PWREncoding parent1, PWREncoding parent2) {
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| 72 | return Apply(random, parent1, parent2);
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| 73 | }
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| 74 |
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| 75 | }
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| 76 | }
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