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source: trunk/sources/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Moves/OneBitflipMove/StochasticOneBitflipMultiMoveGenerator.cs @ 11171

Last change on this file since 11171 was 11171, checked in by ascheibe, 8 years ago

#2115 merged r11170 (copyright update) into trunk

File size: 3.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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.BinaryVectorEncoding {
30  [Item("StochasticOneBitflipMultiMoveGenerator", "Randomly samples n from all possible one bitflip moves from a given BinaryVector.")]
31  [StorableClass]
32  public class StochasticOneBitflipMultiMoveGenerator : OneBitflipMoveGenerator, IMultiMoveGenerator {
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 StochasticOneBitflipMultiMoveGenerator(bool deserializing) : base(deserializing) { }
47    protected StochasticOneBitflipMultiMoveGenerator(StochasticOneBitflipMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
48    public StochasticOneBitflipMultiMoveGenerator()
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 StochasticOneBitflipMultiMoveGenerator(this, cloner);
56    }
57
58    public static OneBitflipMove[] Apply(BinaryVector binaryVector, IRandom random, int sampleSize) {
59      OneBitflipMove[] moves = new OneBitflipMove[sampleSize];
60      for (int i = 0; i < sampleSize; i++) {
61        moves[i] = StochasticOneBitflipSingleMoveGenerator.Apply(binaryVector, random);
62      }
63      return moves;
64    }
65
66    protected override OneBitflipMove[] GenerateMoves(BinaryVector binaryVector) {
67      IRandom random = RandomParameter.ActualValue;
68      return Apply(binaryVector, random, SampleSizeParameter.ActualValue.Value);
69    }
70  }
71}
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