source: branches/GeneralizedQAP/HeuristicLab.Problems.GeneralizedQuadraticAssignment/3.3/Moves/StochasticNMoveMultiMoveGenerator.cs @ 15504

Last change on this file since 15504 was 15504, checked in by abeham, 2 years ago

#1614: refactored code

  • change problem to derive from basic problem
  • using a combined instance class instead of individual parameters
File size: 3.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2017 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.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.IntegerVectorEncoding;
27using HeuristicLab.Optimization;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {
32  [Item("Stochastic N-Move MultiMoveGenerator", "Randomly samples a number of N-Moves.")]
33  [StorableClass]
34  public class StochasticNMoveMultiMoveGenerator : GQAPNMoveGenerator, IStochasticOperator, IMultiMoveGenerator {
35   
36    public ILookupParameter<IRandom> RandomParameter {
37      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
38    }
39    public IValueLookupParameter<IntValue> SampleSizeParameter {
40      get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
41    }
42
43    [StorableConstructor]
44    protected StochasticNMoveMultiMoveGenerator(bool deserializing) : base(deserializing) { }
45    protected StochasticNMoveMultiMoveGenerator(StochasticNMoveMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
46    public StochasticNMoveMultiMoveGenerator()
47      : base() {
48      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator that should be used."));
49      Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));
50    }
51
52    public override IDeepCloneable Clone(Cloner cloner) {
53      return new StochasticNMoveMultiMoveGenerator(this, cloner);
54    }
55
56    public static IEnumerable<NMove> Generate(IRandom random, IntegerVector assignment, int n, GQAPInstance problemInstance, int sampleSize) {
57      for (int i = 0; i < sampleSize; i++)
58        yield return StochasticNMoveSingleMoveGenerator.GenerateUpToN(random, assignment, n, problemInstance.Capacities);
59    }
60
61    public override IEnumerable<NMove> GenerateMoves(IntegerVector assignment, int n, GQAPInstance problemInstance) {
62      return Generate(RandomParameter.ActualValue, assignment, n, problemInstance, SampleSizeParameter.ActualValue.Value);
63    }
64  }
65}
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