#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.PermutationEncoding {
[Item("StochasticTranslocationMultiMoveGenerator", "Randomly samples n from all possible translocation and insertion moves (3-opt) from a given permutation.")]
[StorableClass]
public class StochasticTranslocationMultiMoveGenerator : TranslocationMoveGenerator, IStochasticOperator, IMultiMoveGenerator {
public ILookupParameter RandomParameter {
get { return (ILookupParameter)Parameters["Random"]; }
}
public IValueLookupParameter SampleSizeParameter {
get { return (IValueLookupParameter)Parameters["SampleSize"]; }
}
public IntValue SampleSize {
get { return SampleSizeParameter.Value; }
set { SampleSizeParameter.Value = value; }
}
[StorableConstructor]
protected StochasticTranslocationMultiMoveGenerator(bool deserializing) : base(deserializing) { }
protected StochasticTranslocationMultiMoveGenerator(StochasticTranslocationMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
public StochasticTranslocationMultiMoveGenerator() : base() {
Parameters.Add(new LookupParameter("Random", "The random number generator."));
Parameters.Add(new ValueLookupParameter("SampleSize", "The number of moves to generate."));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new StochasticTranslocationMultiMoveGenerator(this, cloner);
}
public static TranslocationMove[] Apply(Permutation permutation, IRandom random, int sampleSize) {
int length = permutation.Length;
TranslocationMove[] moves = new TranslocationMove[sampleSize];
for (int i = 0; i < sampleSize; i++) {
moves[i] = StochasticTranslocationSingleMoveGenerator.Apply(permutation, random);
}
return moves;
}
protected override TranslocationMove[] GenerateMoves(Permutation permutation) {
IRandom random = RandomParameter.ActualValue;
return Apply(permutation, random, SampleSizeParameter.ActualValue.Value);
}
}
}