#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;
using HeuristicLab.Common;
namespace HeuristicLab.Algorithms.NSGA2 {
[Item("DefaultCrossover", "This operator creates a parent by copying a single individual.")]
[StorableClass]
public class DefaultCrossover : SingleSuccessorOperator, ICrossover, IStochasticOperator {
public ILookupParameter RandomParameter {
get { return (ILookupParameter)Parameters["Random"]; }
}
[StorableConstructor]
protected DefaultCrossover(bool deserializing) : base(deserializing) { }
protected DefaultCrossover(DefaultCrossover original, Cloner cloner) : base(original, cloner) { }
public DefaultCrossover()
: base() {
Parameters.Add(new LookupParameter("Random", "The random number generator."));
}
public override IOperation Apply() {
IScope scope = ExecutionContext.Scope;
int index = RandomParameter.ActualValue.Next(scope.SubScopes.Count);
IScope child = scope.SubScopes[index];
foreach (IVariable var in child.Variables)
scope.Variables.Add((IVariable)var.Clone());
return base.Apply();
}
public override IDeepCloneable Clone(Cloner cloner) {
return new DefaultCrossover(this, cloner);
}
}
}