source: branches/2520_PersistenceReintegration/HeuristicLab.Encodings.PermutationEncoding/3.3/Moves/TwoOpt/StochasticInversionMultiMoveGenerator.cs @ 16453

Last change on this file since 16453 was 16453, checked in by jkarder, 10 months ago

#2520: updated year of copyrights

File size: 3.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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.Optimization;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Encodings.PermutationEncoding {
30  [Item("StochasticInversionMultiMoveGenerator", "Randomly samples n from all possible inversion moves (2-opt) from a given permutation.")]
31  [StorableClass]
32  public class StochasticInversionMultiMoveGenerator : InversionMoveGenerator, IMultiMoveGenerator, IStochasticOperator {
33    public ILookupParameter<IRandom> RandomParameter {
34      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
35    }
36    public IValueLookupParameter<IntValue> SampleSizeParameter {
37      get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
38    }
39
40    public IntValue SampleSize {
41      get { return SampleSizeParameter.Value; }
42      set { SampleSizeParameter.Value = value; }
43    }
44
45    [StorableConstructor]
46    protected StochasticInversionMultiMoveGenerator(bool deserializing) : base(deserializing) { }
47    protected StochasticInversionMultiMoveGenerator(StochasticInversionMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
48    public StochasticInversionMultiMoveGenerator()
49      : base() {
50      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
51      Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));
52    }
53
54    public override IDeepCloneable Clone(Cloner cloner) {
55      return new StochasticInversionMultiMoveGenerator(this, cloner);
56    }
57
58    public static InversionMove[] Apply(Permutation permutation, IRandom random, int sampleSize) {
59      int length = permutation.Length;
60      InversionMove[] moves = new InversionMove[sampleSize];
61      for (int i = 0; i < sampleSize; i++) {
62        moves[i] = StochasticInversionSingleMoveGenerator.Apply(permutation, random);
63      }
64      return moves;
65    }
66
67    protected override InversionMove[] GenerateMoves(Permutation permutation) {
68      IRandom random = RandomParameter.ActualValue;
69      return Apply(permutation, random, SampleSizeParameter.ActualValue.Value);
70    }
71  }
72}
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