#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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.Random; using HeuristicLab.Data; namespace HeuristicLab.Encodings.SymbolicExpressionTree { public abstract class GPManipulatorBase : OperatorBase { public GPManipulatorBase() : base() { AddVariableInfo(new VariableInfo("Random", "Uniform random number generator", typeof(MersenneTwister), VariableKind.In)); AddVariableInfo(new VariableInfo("FunctionLibrary", "The operator library containing all available operators", typeof(FunctionLibrary), VariableKind.In)); AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In)); AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In)); AddVariableInfo(new VariableInfo("FunctionTree", "The tree to crossover", typeof(IGeneticProgrammingModel), VariableKind.In | VariableKind.New)); } internal abstract IOperation Manipulate(MersenneTwister random, IGeneticProgrammingModel gpModel, FunctionLibrary library, int maxSize, int maxHeight, IScope scope); public override IOperation Apply(IScope scope) { FunctionLibrary funLibrary = GetVariableValue("FunctionLibrary", scope, true); IGeneticProgrammingModel gpModel = GetVariableValue("FunctionTree", scope, false); MersenneTwister random = GetVariableValue("Random", scope, true); int maxTreeSize = GetVariableValue("MaxTreeSize", scope, true).Data; int maxTreeHeight = GetVariableValue("MaxTreeHeight", scope, true).Data; return Manipulate(random, gpModel, funLibrary, maxTreeSize, maxTreeHeight, scope); } } }