#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"; } } }