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source: branches/PersistenceOverhaul/HeuristicLab.Encodings.ScheduleEncoding/3.3/JobSequenceMatrix/Crossovers/JSMJOXCrossover.cs @ 13368

Last change on this file since 13368 was 13368, checked in by ascheibe, 8 years ago

#2520 added guids to storable classes

File size: 3.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Encodings.PermutationEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Encodings.ScheduleEncoding.JobSequenceMatrix {
29  [Item("JSMJobbasedOrderCrossover", "Represents a crossover operation swapping subsequences of the parents to generate offspring.")]
30  [StorableClass("07B61F8E-1B74-41FE-9E1C-5867FE813F5E")]
31  public class JSMJOXCrossover : JSMCrossover {
32
33    [StorableConstructor]
34    protected JSMJOXCrossover(bool deserializing) : base(deserializing) { }
35    protected JSMJOXCrossover(JSMJOXCrossover original, Cloner cloner) : base(original, cloner) { }
36    public JSMJOXCrossover() : base() { }
37
38    public override IDeepCloneable Clone(Cloner cloner) {
39      return new JSMJOXCrossover(this, cloner);
40    }
41
42    public static JSMEncoding Apply(IRandom random, JSMEncoding p1, JSMEncoding p2) {
43      var result = new JSMEncoding();
44
45      int nrOfResources = p1.JobSequenceMatrix.Count;
46      int nrOfJobs = p1.JobSequenceMatrix[0].Length;
47
48      //Determine randomly which jobindexes persist
49      var persist = new BoolArray(nrOfJobs);
50      for (int i = 0; i < persist.Length; i++) {
51        persist[i] = random.Next(2) == 1;
52      }
53
54      bool dominantParent = random.Next(2) == 1;
55      JSMEncoding parent1 = dominantParent ? p1 : p2;
56      JSMEncoding parent2 = dominantParent ? p2 : p1;
57
58      //Fill childmatrix with values
59      for (int resIndex = 0; resIndex < nrOfResources; resIndex++) {
60        result.JobSequenceMatrix.Add(new Permutation(PermutationTypes.Absolute, nrOfJobs));
61        int parent2index = 0;
62        for (int jobIndex = 0; jobIndex < nrOfJobs; jobIndex++) {
63          if (persist[parent1.JobSequenceMatrix[resIndex][jobIndex]])
64            result.JobSequenceMatrix[resIndex][jobIndex] = parent1.JobSequenceMatrix[resIndex][jobIndex];
65          else {
66            while (persist[parent2.JobSequenceMatrix[resIndex][parent2index]])
67              parent2index++;
68            result.JobSequenceMatrix[resIndex][jobIndex] = parent2.JobSequenceMatrix[resIndex][parent2index];
69            parent2index++;
70          }
71        }
72      }
73
74      return result;
75    }
76
77    public override JSMEncoding Cross(IRandom random, JSMEncoding parent1, JSMEncoding parent2) {
78      return Apply(random, parent1, parent2);
79    }
80  }
81}
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