#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.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.IntegerVectorEncoding {
///
/// A base class for operators that perform a crossover of int-valued vectors.
///
[Item("IntegerVectorCrossover", "A base class for operators that perform a crossover of int-valued vectors.")]
[StorableClass]
public abstract class IntegerVectorCrossover : IntegerVectorOperator, IIntegerVectorCrossover, IStochasticOperator {
public override bool CanChangeName {
get { return false; }
}
public ILookupParameter RandomParameter {
get { return (LookupParameter)Parameters["Random"]; }
}
public ILookupParameter> ParentsParameter {
get { return (ScopeTreeLookupParameter)Parameters["Parents"]; }
}
public ILookupParameter ChildParameter {
get { return (ILookupParameter)Parameters["Child"]; }
}
[StorableConstructor]
protected IntegerVectorCrossover(bool deserializing) : base(deserializing) { }
protected IntegerVectorCrossover(IntegerVectorCrossover original, Cloner cloner) : base(original, cloner) { }
protected IntegerVectorCrossover()
: base() {
Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic crossover operators."));
Parameters.Add(new ScopeTreeLookupParameter("Parents", "The parent vectors which should be crossed."));
ParentsParameter.ActualName = "IntegerVector";
Parameters.Add(new LookupParameter("Child", "The child vector resulting from the crossover."));
ChildParameter.ActualName = "IntegerVector";
}
public sealed override IOperation Apply() {
ChildParameter.ActualValue = Cross(RandomParameter.ActualValue, ParentsParameter.ActualValue);
return base.Apply();
}
protected abstract IntegerVector Cross(IRandom random, ItemArray parents);
}
}