[6406] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15584] | 3 | * Copyright (C) 2002-2018 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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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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| 29 | namespace HeuristicLab.Encodings.ScheduleEncoding.PermutationWithRepetition {
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| 30 | [Item("PWRGeneralizationOrderCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")]
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| 31 | [StorableClass]
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| 32 | public class PWRGOXCrossover : PWRCrossover {
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[8887] | 33 |
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[6406] | 34 | [StorableConstructor]
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| 35 | protected PWRGOXCrossover(bool deserializing) : base(deserializing) { }
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[8887] | 36 | protected PWRGOXCrossover(PWRGOXCrossover original, Cloner cloner) : base(original, cloner) { }
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| 37 | public PWRGOXCrossover() : 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 PWRGOXCrossover(this, cloner);
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| 41 | }
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| 42 |
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| 43 | private static int[] GetLookUpForIndividual(List<int> p) {
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[8887] | 44 | var result = new int[p.Count];
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| 45 | var lookUpTable = new Dictionary<int, int>();
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[6406] | 46 |
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| 47 | for (int i = 0; i < p.Count; i++) {
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| 48 | if (!lookUpTable.ContainsKey(p[i]))
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| 49 | lookUpTable.Add(p[i], 0);
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| 50 | result[i] = lookUpTable[p[i]];
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| 51 | lookUpTable[p[i]]++;
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| 52 | }
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| 53 |
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| 54 | return result;
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| 55 | }
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[8887] | 56 |
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[6406] | 57 | public static PWREncoding Apply(IRandom random, PWREncoding parent1, PWREncoding parent2) {
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[8887] | 58 | var result = new PWREncoding();
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[6406] | 59 |
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[8887] | 60 | var p1 = ((IntegerVector)(parent1.PermutationWithRepetition.Clone())).ToList();
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| 61 | var p2 = ((IntegerVector)(parent2.PermutationWithRepetition.Clone())).ToList();
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| 62 | var child = new List<int>();
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[6406] | 63 |
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| 64 | int[] lookUpArrayP1 = GetLookUpForIndividual(p1);
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| 65 | int[] lookUpArrayP2 = GetLookUpForIndividual(p2);
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| 66 |
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| 67 | int xStringLength = p1.Count / 2;
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| 68 | int xStringPosition = random.Next(p1.Count / 2);
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| 69 |
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| 70 | //insert elements from parent1 that dont conflict with the "selected" elements form parent2
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| 71 | for (int i = 0; i < p1.Count; i++) {
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| 72 | bool isSelected = false;
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| 73 | for (int j = xStringPosition; j < xStringPosition + xStringLength; j++) {
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| 74 | if (p1[i] == p2[j] && lookUpArrayP1[i] == lookUpArrayP2[j])
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| 75 | isSelected = true;
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| 76 | }
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| 77 | if (!isSelected)
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| 78 | child.Add(p1[i]);
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| 79 | }
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| 80 |
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| 81 | for (int i = xStringPosition; i < xStringPosition + xStringLength; i++) {
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| 82 | child.Insert(i, p2[i]);
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| 83 | }
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| 84 |
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| 85 | result.PermutationWithRepetition = new IntegerVector(child.ToArray());
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| 86 | return result;
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| 87 | }
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| 88 |
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| 89 | public override PWREncoding Cross(IRandom random, PWREncoding parent1, PWREncoding parent2) {
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| 90 | return Apply(random, parent1, parent2);
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| 91 | }
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| 92 |
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| 93 | }
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| 94 | }
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