#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.Encodings.PackingEncoding.Interfaces;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.BinPacking.Interfaces;
namespace HeuristicLab.Encodings.PackingEncoding {
[Item("PackingSolutionCrossover", "A bin packing crossover operation.")]
[StorableClass]
public abstract class PackingSolutionCrossover : SingleSuccessorOperator, IPackingSolutionCrossover, IStochasticOperator {
public ILookupParameter ChildParameter {
get { return (ILookupParameter)Parameters["Child"]; }
}
public IScopeTreeLookupParameter ParentsParameter {
get { return (IScopeTreeLookupParameter)Parameters["Parents"]; }
}
public ILookupParameter RandomParameter {
get { return (LookupParameter)Parameters["Random"]; }
}
[StorableConstructor]
protected PackingSolutionCrossover(bool deserializing) : base(deserializing) { }
protected PackingSolutionCrossover(PackingSolutionCrossover original, Cloner cloner) : base(original, cloner) { }
public PackingSolutionCrossover()
: base() {
Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
Parameters.Add(new LookupParameter("Child", "The child solution resulting from the crossover."));
ChildParameter.ActualName = "EncodedSolution";
Parameters.Add(new ScopeTreeLookupParameter("Parents", "The parent solution which should be crossed."));
ParentsParameter.ActualName = "EncodedSolution";
}
}
}