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source: trunk/sources/HeuristicLab.Encodings.PermutationEncoding/3.3/Moves/TwoOpt/StochasticTwoOptSingleMoveGenerator.cs @ 3101

Last change on this file since 3101 was 3098, checked in by abeham, 15 years ago

Added simulated annealing algorithm #923

File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Optimization;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Encodings.PermutationEncoding {
30  [Item("StochasticTwoOptSingleMoveGenerator", "Randomly samples a single from all possible 2-opt moves from a given permutation.")]
31  [StorableClass]
32  public class StochasticTwoOptSingleMoveGenerator : TwoOptMoveGenerator, IStochasticOperator, ISingleMoveGenerator {
33    public ILookupParameter<IRandom> RandomParameter {
34      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
35    }
36
37    public StochasticTwoOptSingleMoveGenerator()
38      : base() {
39      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
40    }
41
42    public static TwoOptMove Apply(Permutation permutation, IRandom random) {
43      int length = permutation.Length;
44      int index1 = random.Next(length - 1), index2;
45      if (index1 >= 2)
46        index2 = random.Next(index1 + 1, length);
47      else index2 = random.Next(index1 + 1, length - (2 - index1));
48      return new TwoOptMove(index1, index2);;
49    }
50
51    protected override TwoOptMove[] GenerateMoves(Permutation permutation) {
52      IRandom random = RandomParameter.ActualValue;
53      return new TwoOptMove[] { Apply(permutation, random) };
54    }
55  }
56}
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