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source: stable/HeuristicLab.Encodings.PermutationEncoding/3.3/Manipulators/TranslocationManipulator.cs @ 15394

Last change on this file since 15394 was 14967, checked in by abeham, 7 years ago

#2731: merged 14662 to stable

File size: 3.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Encodings.PermutationEncoding {
27  /// <summary>
28  /// Manipulates a permutation array by moving a randomly chosen interval of elements to another
29  /// (randomly chosen) position in the array.
30  /// </summary>
31  /// <remarks>
32  /// It is implemented as described in Michalewicz, Z. 1992. Genetic Algorithms + Data Structures = Evolution Programs, Springer Verlag, Berlin Heidelberg.
33  /// </remarks>
34  [Item("TranslocationManipulator", "An operator which Manipulates a permutation array by moving a randomly chosen interval of elements to another (randomly chosen) position in the array. It is implemented as described in Michalewicz, Z. 1992. Genetic Algorithms + Data Structures = Evolution Programs, Springer Verlag, Berlin Heidelberg.")]
35  [StorableClass]
36  public class TranslocationManipulator : PermutationManipulator {
37    [StorableConstructor]
38    protected TranslocationManipulator(bool deserializing) : base(deserializing) { }
39    protected TranslocationManipulator(TranslocationManipulator original, Cloner cloner) : base(original, cloner) { }
40    public TranslocationManipulator() : base() { }
41
42    public override IDeepCloneable Clone(Cloner cloner) {
43      return new TranslocationManipulator(this, cloner);
44    }
45
46    /// <summary>
47    /// Moves a randomly chosen interval of elements to another (randomly chosen) position in the given
48    /// <paramref name="permutation"/> array.
49    /// </summary>
50    /// <param name="random">The random number generator.</param>
51    /// <param name="permutation">The permutation array to manipulate.</param>
52    public static void Apply(IRandom random, Permutation permutation) {
53      int breakPoint1, breakPoint2, insertPoint, insertPointLimit;
54
55      breakPoint1 = random.Next(permutation.Length - 1);
56      breakPoint2 = random.Next(breakPoint1 + 1, permutation.Length);
57      insertPointLimit = permutation.Length - breakPoint2 + breakPoint1 - 1;  // get insertion point in remaining part
58      if (insertPointLimit > 0)
59        insertPoint = random.Next(insertPointLimit);
60      else
61        insertPoint = 0;
62
63      Apply(permutation, breakPoint1, breakPoint2, insertPoint);
64    }
65
66    public static void Apply(Permutation permutation, int breakPoint1, int breakPoint2, int insertPoint) {
67      permutation.Move(breakPoint1, breakPoint2, insertPoint);
68    }
69
70    /// <summary>
71    /// Moves a randomly chosen interval of elements to another (randomly chosen) position in the given
72    /// <paramref name="permutation"/> array.
73    /// </summary>
74    /// <remarks>Calls <see cref="Apply"/>.</remarks>
75    /// <param name="random">A random number generator.</param>
76    /// <param name="permutation">The permutation to manipulate.</param>
77    protected override void Manipulate(IRandom random, Permutation permutation) {
78      Apply(random, permutation);
79    }
80  }
81}
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