1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 20022010 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 


22  using System;


23  using HeuristicLab.Core;


24  using HeuristicLab.Data;


25  using HeuristicLab.Optimization;


26  using HeuristicLab.Parameters;


27  using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;


28 


29  namespace HeuristicLab.Encodings.PermutationEncoding {


30  [Item("StochasticTwoOptMultiMoveGenerator", "Randomly samples n from all possible 2opt moves (inversion) from a given permutation.")]


31  [StorableClass]


32  public class StochasticTwoOptMultiMoveGenerator : TwoOptMoveGenerator, 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  public StochasticTwoOptMultiMoveGenerator()


46  : base() {


47  Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));


48  Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));


49  }


50 


51  public static TwoOptMove[] Apply(Permutation permutation, IRandom random, int sampleSize) {


52  int length = permutation.Length;


53  TwoOptMove[] moves = new TwoOptMove[sampleSize];


54  for (int i = 0; i < sampleSize; i++) {


55  moves[i] = StochasticTwoOptSingleMoveGenerator.Apply(permutation, random);


56  }


57  return moves;


58  }


59 


60  protected override TwoOptMove[] GenerateMoves(Permutation permutation) {


61  IRandom random = RandomParameter.ActualValue;


62  return Apply(permutation, random, SampleSizeParameter.ActualValue.Value);


63  }


64  }


65  }

