[3841] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14185] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3841] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System.Collections.Generic;
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[5686] | 23 | using System.Linq;
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[4722] | 24 | using HeuristicLab.Common;
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[3841] | 25 | using HeuristicLab.Core;
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[4068] | 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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[3841] | 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[5574] | 28 |
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[3841] | 29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 30 | [StorableClass]
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| 31 | [Item("FullFunctionalExpressionGrammar", "Represents a grammar for functional expressions using all available functions.")]
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[5686] | 32 | public class FullFunctionalExpressionGrammar : SymbolicExpressionGrammar, ISymbolicDataAnalysisGrammar {
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[4722] | 33 | [StorableConstructor]
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| 34 | protected FullFunctionalExpressionGrammar(bool deserializing) : base(deserializing) { }
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| 35 | protected FullFunctionalExpressionGrammar(FullFunctionalExpressionGrammar original, Cloner cloner) : base(original, cloner) { }
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[3841] | 36 | public FullFunctionalExpressionGrammar()
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[5688] | 37 | : base(ItemAttribute.GetName(typeof(FullFunctionalExpressionGrammar)), ItemAttribute.GetDescription(typeof(FullFunctionalExpressionGrammar))) {
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[3841] | 38 | Initialize();
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| 39 | }
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| 40 |
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[4722] | 41 | public override IDeepCloneable Clone(Cloner cloner) {
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| 42 | return new FullFunctionalExpressionGrammar(this, cloner);
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| 43 | }
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| 44 |
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[3841] | 45 | private void Initialize() {
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| 46 | var add = new Addition();
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| 47 | var sub = new Subtraction();
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| 48 | var mul = new Multiplication();
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| 49 | var div = new Division();
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| 50 | var mean = new Average();
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| 51 | var sin = new Sine();
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| 52 | var cos = new Cosine();
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| 53 | var tan = new Tangent();
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| 54 | var log = new Logarithm();
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[5288] | 55 | var pow = new Power();
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[5384] | 56 | pow.InitialFrequency = 0.0;
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[7695] | 57 | var square = new Square();
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| 58 | square.InitialFrequency = 0.0;
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[5384] | 59 | var root = new Root();
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| 60 | root.InitialFrequency = 0.0;
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[7695] | 61 | var sqrt = new SquareRoot();
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| 62 | sqrt.InitialFrequency = 0.0;
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[7696] | 63 | var airyA = new AiryA();
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[7707] | 64 | airyA.InitialFrequency = 0.0;
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[7696] | 65 | var airyB = new AiryB();
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[7707] | 66 | airyB.InitialFrequency = 0.0;
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[7696] | 67 | var bessel = new Bessel();
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[7707] | 68 | bessel.InitialFrequency = 0.0;
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[7696] | 69 | var cosineIntegral = new CosineIntegral();
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[7707] | 70 | cosineIntegral.InitialFrequency = 0.0;
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[7696] | 71 | var dawson = new Dawson();
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[7707] | 72 | dawson.InitialFrequency = 0.0;
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[7696] | 73 | var erf = new Erf();
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[7707] | 74 | erf.InitialFrequency = 0.0;
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[7696] | 75 | var expIntegralEi = new ExponentialIntegralEi();
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[7707] | 76 | expIntegralEi.InitialFrequency = 0.0;
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[7696] | 77 | var fresnelCosineIntegral = new FresnelCosineIntegral();
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[7707] | 78 | fresnelCosineIntegral.InitialFrequency = 0.0;
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[7696] | 79 | var fresnelSineIntegral = new FresnelSineIntegral();
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[7707] | 80 | fresnelSineIntegral.InitialFrequency = 0.0;
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[7696] | 81 | var gamma = new Gamma();
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[7707] | 82 | gamma.InitialFrequency = 0.0;
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[7696] | 83 | var hypCosineIntegral = new HyperbolicCosineIntegral();
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[7707] | 84 | hypCosineIntegral.InitialFrequency = 0.0;
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[7696] | 85 | var hypSineIntegral = new HyperbolicSineIntegral();
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[7707] | 86 | hypSineIntegral.InitialFrequency = 0.0;
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[7696] | 87 | var norm = new Norm();
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[7707] | 88 | norm.InitialFrequency = 0.0;
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[7696] | 89 | var psi = new Psi();
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[7707] | 90 | psi.InitialFrequency = 0.0;
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[7696] | 91 | var sineIntegral = new SineIntegral();
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[7707] | 92 | sineIntegral.InitialFrequency = 0.0;
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[7696] | 93 |
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[3841] | 94 | var exp = new Exponential();
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| 95 | var @if = new IfThenElse();
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| 96 | var gt = new GreaterThan();
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| 97 | var lt = new LessThan();
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| 98 | var and = new And();
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| 99 | var or = new Or();
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| 100 | var not = new Not();
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[10774] | 101 | var xor = new Xor();
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[5373] | 102 |
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| 103 | var timeLag = new TimeLag();
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| 104 | timeLag.InitialFrequency = 0.0;
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| 105 | var integral = new Integral();
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| 106 | integral.InitialFrequency = 0.0;
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| 107 | var derivative = new Derivative();
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| 108 | derivative.InitialFrequency = 0.0;
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| 109 |
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[5467] | 110 | var variableCondition = new VariableCondition();
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| 111 | variableCondition.InitialFrequency = 0.0;
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| 112 |
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[3841] | 113 | var constant = new Constant();
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| 114 | constant.MinValue = -20;
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| 115 | constant.MaxValue = 20;
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[5574] | 116 | var variableSymbol = new HeuristicLab.Problems.DataAnalysis.Symbolic.Variable();
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[4249] | 117 | var laggedVariable = new LaggedVariable();
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| 118 | laggedVariable.InitialFrequency = 0.0;
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[8798] | 119 | var autoregressiveVariable = new AutoregressiveTargetVariable();
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| 120 | autoregressiveVariable.InitialFrequency = 0.0;
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| 121 | autoregressiveVariable.Enabled = false;
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[3841] | 122 |
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[7696] | 123 | var allSymbols = new List<Symbol>() { add, sub, mul, div, mean, sin, cos, tan, log, square, pow, sqrt, root, exp,
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| 124 | airyA, airyB, bessel, cosineIntegral, dawson, erf, expIntegralEi, fresnelCosineIntegral, fresnelSineIntegral, gamma, hypCosineIntegral, hypSineIntegral, norm, psi, sineIntegral,
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[10774] | 125 | @if, gt, lt, and, or, not,xor, timeLag, integral, derivative, constant, variableSymbol, laggedVariable,autoregressiveVariable, variableCondition };
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[7696] | 126 | var unaryFunctionSymbols = new List<Symbol>() { square, sqrt, sin, cos, tan, log, exp, not, timeLag, integral, derivative,
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| 127 | airyA, airyB, bessel, cosineIntegral, dawson, erf, expIntegralEi, fresnelCosineIntegral, fresnelSineIntegral, gamma, hypCosineIntegral, hypSineIntegral, norm, psi, sineIntegral
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| 128 | };
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[5373] | 129 |
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[5467] | 130 | var binaryFunctionSymbols = new List<Symbol>() { pow, root, gt, lt, variableCondition };
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[10774] | 131 | var ternarySymbols = new List<Symbol>() { add, sub, mul, div, mean, and, or, xor };
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[8798] | 132 | var terminalSymbols = new List<Symbol>() { variableSymbol, constant, laggedVariable, autoregressiveVariable };
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[3841] | 133 |
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| 134 | foreach (var symb in allSymbols)
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| 135 | AddSymbol(symb);
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| 136 |
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[7696] | 137 | foreach (var funSymb in ternarySymbols) {
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[5686] | 138 | SetSubtreeCount(funSymb, 1, 3);
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[3841] | 139 | }
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| 140 | foreach (var funSymb in unaryFunctionSymbols) {
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[5686] | 141 | SetSubtreeCount(funSymb, 1, 1);
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[3841] | 142 | }
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| 143 | foreach (var funSymb in binaryFunctionSymbols) {
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[5686] | 144 | SetSubtreeCount(funSymb, 2, 2);
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[3841] | 145 | }
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[4249] | 146 | foreach (var terminalSymbol in terminalSymbols) {
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[5686] | 147 | SetSubtreeCount(terminalSymbol, 0, 0);
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[4249] | 148 | }
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| 149 |
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[5686] | 150 | SetSubtreeCount(@if, 3, 3);
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[3841] | 151 |
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[4249] | 152 |
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[3841] | 153 | // allow each symbol as child of the start symbol
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| 154 | foreach (var symb in allSymbols) {
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[5686] | 155 | AddAllowedChildSymbol(StartSymbol, symb);
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[5726] | 156 | AddAllowedChildSymbol(DefunSymbol, symb);
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[3841] | 157 | }
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| 158 |
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| 159 | // allow each symbol as child of every other symbol (except for terminals that have maxSubtreeCount == 0)
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[5686] | 160 | foreach (var parent in allSymbols.Except(terminalSymbols)) {
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| 161 | foreach (var child in allSymbols)
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| 162 | AddAllowedChildSymbol(parent, child);
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[3841] | 163 | }
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| 164 | }
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| 165 | }
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| 166 | }
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