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source: branches/Scheduling/HeuristicLab.Encodings.ScheduleEncoding/3.3/PermutationWithRepetition/Crossovers/PWRGOXCrossover.cs @ 6406

Last change on this file since 6406 was 6406, checked in by jhelm, 13 years ago

#1329: Applied suggestions from codereview. Added unit-tests. Renamed encoding-project.

File size: 3.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Encodings.IntegerVectorEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Encodings.ScheduleEncoding.PermutationWithRepetition {
30  [Item("PWRGeneralizationOrderCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")]
31  [StorableClass]
32  public class PWRGOXCrossover : PWRCrossover {
33    [StorableConstructor]
34    protected PWRGOXCrossover(bool deserializing) : base(deserializing) { }
35    protected PWRGOXCrossover(PWRGOXCrossover original, Cloner cloner)
36      : base(original, cloner) {
37    }
38    public override IDeepCloneable Clone(Cloner cloner) {
39      return new PWRGOXCrossover(this, cloner);
40    }
41    public PWRGOXCrossover() : base() { }
42
43    private static int[] GetLookUpForIndividual(List<int> p) {
44      int[] result = new int[p.Count];
45      Dictionary<int, int> lookUpTable = new Dictionary<int, int>();
46
47      for (int i = 0; i < p.Count; i++) {
48        if (!lookUpTable.ContainsKey(p[i]))
49          lookUpTable.Add(p[i], 0);
50        result[i] = lookUpTable[p[i]];
51        lookUpTable[p[i]]++;
52      }
53
54      return result;
55    }
56    public static PWREncoding Apply(IRandom random, PWREncoding parent1, PWREncoding parent2) {
57      PWREncoding result = new PWREncoding();
58
59      List<int> p1 = ((IntegerVector)(parent1.PermutationWithRepetition.Clone())).ToList<int>();
60      List<int> p2 = ((IntegerVector)(parent2.PermutationWithRepetition.Clone())).ToList<int>();
61      List<int> child = new List<int>();
62
63      int[] lookUpArrayP1 = GetLookUpForIndividual(p1);
64      int[] lookUpArrayP2 = GetLookUpForIndividual(p2);
65
66      int xStringLength = p1.Count / 2;
67      int xStringPosition = random.Next(p1.Count / 2);
68
69      //insert elements from parent1 that dont conflict with the "selected" elements form parent2
70      for (int i = 0; i < p1.Count; i++) {
71        bool isSelected = false;
72        for (int j = xStringPosition; j < xStringPosition + xStringLength; j++) {
73          if (p1[i] == p2[j] && lookUpArrayP1[i] == lookUpArrayP2[j])
74            isSelected = true;
75        }
76        if (!isSelected)
77          child.Add(p1[i]);
78      }
79
80      for (int i = xStringPosition; i < xStringPosition + xStringLength; i++) {
81        child.Insert(i, p2[i]);
82      }
83
84      result.PermutationWithRepetition = new IntegerVector(child.ToArray());
85      return result;
86    }
87
88    public override PWREncoding Cross(IRandom random, PWREncoding parent1, PWREncoding parent2) {
89      return Apply(random, parent1, parent2);
90    }
91
92
93
94
95  }
96}
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