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source: branches/HeuristicLab.TimeSeries/HeuristicLab.Encodings.PermutationEncoding/3.3/Manipulators/InsertionManipulator.cs @ 7268

Last change on this file since 7268 was 7268, checked in by gkronber, 12 years ago

#1081: merged r7214:7266 from trunk into time series branch.

File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 randomly one element to another position in the array.
29  /// </summary>
30  /// <remarks>
31  /// It is implemented as described in Fogel, D.B. (1988). An Evolutionary Approach to the Traveling Salesman Problem, Biological Cybernetics, 60, pp. 139-144.
32  /// </remarks>
33  [Item("InsertionManipulator", "An operator which moves randomly one element to another position in the permutation (Insertion is a special case of Translocation). It is implemented as described in Fogel, D.B. (1988). An Evolutionary Approach to the Traveling Salesman Problem, Biological Cybernetics, 60, pp. 139-144.")]
34  [StorableClass]
35  public class InsertionManipulator : PermutationManipulator {
36    [StorableConstructor]
37    protected InsertionManipulator(bool deserializing) : base(deserializing) { }
38    protected InsertionManipulator(InsertionManipulator original, Cloner cloner) : base(original, cloner) { }
39    public InsertionManipulator() : base() { }
40
41    public override IDeepCloneable Clone(Cloner cloner) {
42      return new InsertionManipulator(this, cloner);
43    }
44
45    /// <summary>
46    /// Moves an randomly chosen element in the specified <paramref name="permutation"/> array
47    /// to another randomly generated position.
48    /// </summary>
49    /// <param name="random">The random number generator.</param>
50    /// <param name="permutation">The permutation to manipulate.</param>
51    public static void Apply(IRandom random, Permutation permutation) {
52      Permutation original = (Permutation)permutation.Clone();
53      int cutIndex, insertIndex, number;
54
55      cutIndex = random.Next(original.Length);
56      insertIndex = random.Next(original.Length);
57      number = original[cutIndex];
58
59      int i = 0;  // index in new permutation
60      int j = 0;  // index in old permutation
61      while (i < original.Length) {
62        if (j == cutIndex) {
63          j++;
64        }
65        if (i == insertIndex) {
66          permutation[i] = number;
67          i++;
68        }
69        if ((i < original.Length) && (j < original.Length)) {
70          permutation[i] = original[j];
71          i++;
72          j++;
73        }
74      }
75    }
76
77    /// <summary>
78    /// Moves an randomly chosen element in the specified <paramref name="permutation"/> array
79    /// to another randomly generated position.
80    /// </summary>
81    /// <remarks>Calls <see cref="Apply"/>.</remarks>
82    /// <param name="random">A random number generator.</param>
83    /// <param name="permutation">The permutation to manipulate.</param>
84    protected override void Manipulate(IRandom random, Permutation permutation) {
85      Apply(random, permutation);
86    }
87  }
88}
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