#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 System; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding { /// /// A base class for operators that perform a crossover of symbolic expression trees. /// [Item("SymbolicExpressionTreeCrossover", "A base class for operators that perform a crossover of symbolic expression trees.")] [StorableClass] public abstract class SymbolicExpressionTreeCrossover : SymbolicExpressionTreeOperator, ISymbolicExpressionTreeCrossover { private const string ParentsParameterName = "Parents"; private const string ChildParameterName = "Child"; #region Parameter Properties public ILookupParameter> ParentsParameter { get { return (ScopeTreeLookupParameter)Parameters[ParentsParameterName]; } } public ILookupParameter ChildParameter { get { return (ILookupParameter)Parameters[ChildParameterName]; } } #endregion #region Properties public ItemArray Parents { get { return ParentsParameter.ActualValue; } } public ISymbolicExpressionTree Child { get { return ChildParameter.ActualValue; } set { ChildParameter.ActualValue = value; } } #endregion [StorableConstructor] protected SymbolicExpressionTreeCrossover(bool deserializing) : base(deserializing) { } protected SymbolicExpressionTreeCrossover(SymbolicExpressionTreeCrossover original, Cloner cloner) : base(original, cloner) { } protected SymbolicExpressionTreeCrossover() : base() { Parameters.Add(new ScopeTreeLookupParameter(ParentsParameterName, "The parent symbolic expression trees which should be crossed.")); Parameters.Add(new LookupParameter(ChildParameterName, "The child symbolic expression tree resulting from the crossover.")); } public sealed override IOperation Apply() { if (Parents.Length != 2) throw new ArgumentException("Number of parents must be exactly two for symbolic expression tree crossover operators."); ISymbolicExpressionTree result = Cross(Random, Parents[0], Parents[1]); Child = result; return base.Apply(); } protected abstract ISymbolicExpressionTree Cross(IRandom random, ISymbolicExpressionTree parent0, ISymbolicExpressionTree parent1); } }