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source: trunk/sources/HeuristicLab.Encodings.BinaryVectorEncoding/3.3/Moves/OneBitflipMove/StochasticOneBitflipMultiMoveGenerator.cs @ 15517

Last change on this file since 15517 was 14185, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers

File size: 3.3 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 System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Encodings.BinaryVectorEncoding {
31  [Item("StochasticOneBitflipMultiMoveGenerator", "Randomly samples n from all possible one bitflip moves from a given BinaryVector.")]
32  [StorableClass]
33  public class StochasticOneBitflipMultiMoveGenerator : OneBitflipMoveGenerator, IStochasticOperator, IMultiMoveGenerator {
34    public ILookupParameter<IRandom> RandomParameter {
35      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
36    }
37    public IValueLookupParameter<IntValue> SampleSizeParameter {
38      get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
39    }
40
41    public IntValue SampleSize {
42      get { return SampleSizeParameter.Value; }
43      set { SampleSizeParameter.Value = value; }
44    }
45
46    [StorableConstructor]
47    protected StochasticOneBitflipMultiMoveGenerator(bool deserializing) : base(deserializing) { }
48    protected StochasticOneBitflipMultiMoveGenerator(StochasticOneBitflipMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
49    public StochasticOneBitflipMultiMoveGenerator()
50      : base() {
51      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
52      Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));
53    }
54
55    public override IDeepCloneable Clone(Cloner cloner) {
56      return new StochasticOneBitflipMultiMoveGenerator(this, cloner);
57    }
58
59    public static OneBitflipMove[] Apply(BinaryVector binaryVector, IRandom random, int sampleSize) {
60      OneBitflipMove[] moves = new OneBitflipMove[sampleSize];
61      for (int i = 0; i < sampleSize; i++) {
62        moves[i] = StochasticOneBitflipSingleMoveGenerator.Apply(binaryVector, random);
63      }
64      return moves;
65    }
66
67    protected override OneBitflipMove[] GenerateMoves(BinaryVector binaryVector) {
68      IRandom random = RandomParameter.ActualValue;
69      if (SampleSizeParameter.ActualValue == null) throw new InvalidOperationException("StochasticOneBitflipMultiMoveGenerator: Parameter " + SampleSizeParameter.ActualName + " could not be found.");
70      return Apply(binaryVector, random, SampleSizeParameter.ActualValue.Value);
71    }
72  }
73}
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