#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); } }