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source: stable/HeuristicLab.Encodings.LinearLinkageEncoding/3.3/Crossovers/LowestIndexMaxCrossover.cs @ 13765

Last change on this file since 13765 was 12288, checked in by abeham, 10 years ago

#2319:

  • Changed encoding to represent linkages in LLE (as opposed to LLE-e)
  • Added GraftManipulator
  • Added repair procedure
  • Improved performance of some crossovers
File size: 2.9 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 System;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28using HeuristicLab.Random;
29
30namespace HeuristicLab.Encodings.LinearLinkageEncoding {
31  [Item("Lowest Index Max Crossover", "The Lowest Index Max Crossover (LIMX) is implemented as described in Ülker, Ö., Özcan, E., Korkmaz, E. E. 2007. Linear linkage encoding in grouping problems: applications on graph coloring and timetabling. In Practice and Theory of Automated Timetabling VI, pp. 347-363. Springer Berlin Heidelberg.")]
32  [StorableClass]
33  public sealed class LowestIndexMaxCrossover : LinearLinkageCrossover {
34
35    [StorableConstructor]
36    private LowestIndexMaxCrossover(bool deserializing) : base(deserializing) { }
37    private LowestIndexMaxCrossover(LowestIndexMaxCrossover original, Cloner cloner) : base(original, cloner) { }
38    public LowestIndexMaxCrossover() { }
39
40    public override IDeepCloneable Clone(Cloner cloner) {
41      return new LowestIndexMaxCrossover(this, cloner);
42    }
43
44    public static LinearLinkage Apply(IRandom random, ItemArray<LinearLinkage> parents) {
45      var len = parents[0].Length;
46      var child = new LinearLinkage(len);
47      var remaining = new SortedSet<int>(Enumerable.Range(0, len));
48      do {
49        var groups = parents.Select(x => x.GetGroupForward(remaining.Min).Where(y => remaining.Contains(y)).ToList()).ToList();
50        var max = groups.Select((v, idx) => Tuple.Create(idx, v.Count)).MaxItems(x => x.Item2).SampleRandom(random).Item1;
51        var i = groups[max][0];
52        for (var k = 1; k < groups[max].Count; k++) {
53          child[i] = groups[max][k];
54          remaining.Remove(i);
55          i = child[i];
56        }
57        child[i] = i;
58        remaining.Remove(i);
59      } while (remaining.Count > 0);
60
61      return child;
62    }
63
64    protected override LinearLinkage Cross(IRandom random, ItemArray<LinearLinkage> parents) {
65      return Apply(random, parents);
66    }
67  }
68}
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