#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.BinaryVectorEncoding { /// /// A base class for operators that perform a crossover of bool-valued vectors. /// [Item("BinaryVectorCrossover", "A base class for operators that perform a crossover of bool-valued vectors.")] [StorableType("8544DEAB-A98E-4098-8067-025ED741B2B0")] public abstract class BinaryVectorCrossover : InstrumentedOperator, IBinaryVectorCrossover, 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 BinaryVectorCrossover(bool deserializing) : base(deserializing) { } protected BinaryVectorCrossover(BinaryVectorCrossover original, Cloner cloner) : base(original, cloner) { } protected BinaryVectorCrossover() : 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 = "BinaryVector"; Parameters.Add(new LookupParameter("Child", "The child vector resulting from the crossover.")); ChildParameter.ActualName = "BinaryVector"; } public sealed override IOperation InstrumentedApply() { ChildParameter.ActualValue = Cross(RandomParameter.ActualValue, ParentsParameter.ActualValue); return base.InstrumentedApply(); } protected abstract BinaryVector Cross(IRandom random, ItemArray parents); } }