#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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.Collections.Generic; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols; namespace HeuristicLab.Problems.DataAnalysis.Symbolic { [StorableClass] [Item("FullFunctionalExpressionGrammar", "Represents a grammar for functional expressions using all available functions.")] public class FullFunctionalExpressionGrammar : DefaultSymbolicExpressionGrammar { [StorableConstructor] protected FullFunctionalExpressionGrammar(bool deserializing) : base(deserializing) { } protected FullFunctionalExpressionGrammar(FullFunctionalExpressionGrammar original, Cloner cloner) : base(original, cloner) { } public FullFunctionalExpressionGrammar() : base() { Initialize(); } public override IDeepCloneable Clone(Cloner cloner) { return new FullFunctionalExpressionGrammar(this, cloner); } private void Initialize() { var add = new Addition(); var sub = new Subtraction(); var mul = new Multiplication(); var div = new Division(); var mean = new Average(); var sin = new Sine(); var cos = new Cosine(); var tan = new Tangent(); var log = new Logarithm(); var exp = new Exponential(); var @if = new IfThenElse(); var gt = new GreaterThan(); var lt = new LessThan(); var and = new And(); var or = new Or(); var not = new Not(); var setMem = new SetMem(); var readMem = new ReadMem(); var constant = new Constant(); constant.MinValue = -20; constant.MaxValue = 20; var variableSymbol = new HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable(); var laggedVariable = new LaggedVariable(); laggedVariable.InitialFrequency = 0.0; var allSymbols = new List() { add, sub, mul, div, mean, sin, cos, tan, log, exp, @if, gt, lt, and, or, not, setMem, readMem, constant, variableSymbol, laggedVariable }; var unaryFunctionSymbols = new List() { sin, cos, tan, log, exp, not, setMem}; var binaryFunctionSymbols = new List() { gt, lt }; var functionSymbols = new List() { add, sub, mul, div, mean, and, or }; var terminalSymbols = new List() { variableSymbol, constant, laggedVariable, readMem }; foreach (var symb in allSymbols) AddSymbol(symb); foreach (var funSymb in functionSymbols) { SetMinSubtreeCount(funSymb, 1); SetMaxSubtreeCount(funSymb, 3); } foreach (var funSymb in unaryFunctionSymbols) { SetMinSubtreeCount(funSymb, 1); SetMaxSubtreeCount(funSymb, 1); } foreach (var funSymb in binaryFunctionSymbols) { SetMinSubtreeCount(funSymb, 2); SetMaxSubtreeCount(funSymb, 2); } foreach (var terminalSymbol in terminalSymbols) { SetMinSubtreeCount(terminalSymbol, 0); SetMaxSubtreeCount(terminalSymbol, 0); } SetMinSubtreeCount(@if, 3); SetMaxSubtreeCount(@if, 3); // allow each symbol as child of the start symbol foreach (var symb in allSymbols) { SetAllowedChild(StartSymbol, symb, 0); } // allow each symbol as child of every other symbol (except for terminals that have maxSubtreeCount == 0) foreach (var parent in allSymbols) { for (int i = 0; i < GetMaxSubtreeCount(parent); i++) foreach (var child in allSymbols) { SetAllowedChild(parent, child, i); } } } } }