#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Core;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.BinaryVectorEncoding {
///
/// A base class for operators that manipulate bool-valued vectors.
///
[Item("BinaryVectorManipulator", "A base class for operators that manipulate bool-valued vectors.")]
[StorableClass]
public abstract class BinaryVectorManipulator : SingleSuccessorOperator, IBinaryVectorManipulator, IStochasticOperator {
public override bool CanChangeName {
get { return false; }
}
public ILookupParameter RandomParameter {
get { return (LookupParameter)Parameters["Random"]; }
}
public ILookupParameter BinaryVectorParameter {
get { return (ILookupParameter)Parameters["BinaryVector"]; }
}
protected BinaryVectorManipulator()
: base() {
Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
Parameters.Add(new LookupParameter("BinaryVector", "The vector which should be manipulated."));
}
public sealed override IOperation Apply() {
Manipulate(RandomParameter.ActualValue, BinaryVectorParameter.ActualValue);
return base.Apply();
}
protected abstract void Manipulate(IRandom random, BinaryVector binaryVector);
}
}