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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Grammars/FullFunctionalExpressionGrammar.cs @ 14545

Last change on this file since 14545 was 14185, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers

File size: 6.9 KB
RevLine 
[3841]1#region License Information
2/* HeuristicLab
[14185]3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3841]4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Collections.Generic;
[5686]23using System.Linq;
[4722]24using HeuristicLab.Common;
[3841]25using HeuristicLab.Core;
[4068]26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
[3841]27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
[5574]28
[3841]29namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
30  [StorableClass]
31  [Item("FullFunctionalExpressionGrammar", "Represents a grammar for functional expressions using all available functions.")]
[5686]32  public class FullFunctionalExpressionGrammar : SymbolicExpressionGrammar, ISymbolicDataAnalysisGrammar {
[4722]33    [StorableConstructor]
34    protected FullFunctionalExpressionGrammar(bool deserializing) : base(deserializing) { }
35    protected FullFunctionalExpressionGrammar(FullFunctionalExpressionGrammar original, Cloner cloner) : base(original, cloner) { }
[3841]36    public FullFunctionalExpressionGrammar()
[5688]37      : base(ItemAttribute.GetName(typeof(FullFunctionalExpressionGrammar)), ItemAttribute.GetDescription(typeof(FullFunctionalExpressionGrammar))) {
[3841]38      Initialize();
39    }
40
[4722]41    public override IDeepCloneable Clone(Cloner cloner) {
42      return new FullFunctionalExpressionGrammar(this, cloner);
43    }
44
[3841]45    private void Initialize() {
46      var add = new Addition();
47      var sub = new Subtraction();
48      var mul = new Multiplication();
49      var div = new Division();
50      var mean = new Average();
51      var sin = new Sine();
52      var cos = new Cosine();
53      var tan = new Tangent();
54      var log = new Logarithm();
[5288]55      var pow = new Power();
[5384]56      pow.InitialFrequency = 0.0;
[7695]57      var square = new Square();
58      square.InitialFrequency = 0.0;
[5384]59      var root = new Root();
60      root.InitialFrequency = 0.0;
[7695]61      var sqrt = new SquareRoot();
62      sqrt.InitialFrequency = 0.0;
[7696]63      var airyA = new AiryA();
[7707]64      airyA.InitialFrequency = 0.0;
[7696]65      var airyB = new AiryB();
[7707]66      airyB.InitialFrequency = 0.0;
[7696]67      var bessel = new Bessel();
[7707]68      bessel.InitialFrequency = 0.0;
[7696]69      var cosineIntegral = new CosineIntegral();
[7707]70      cosineIntegral.InitialFrequency = 0.0;
[7696]71      var dawson = new Dawson();
[7707]72      dawson.InitialFrequency = 0.0;
[7696]73      var erf = new Erf();
[7707]74      erf.InitialFrequency = 0.0;
[7696]75      var expIntegralEi = new ExponentialIntegralEi();
[7707]76      expIntegralEi.InitialFrequency = 0.0;
[7696]77      var fresnelCosineIntegral = new FresnelCosineIntegral();
[7707]78      fresnelCosineIntegral.InitialFrequency = 0.0;
[7696]79      var fresnelSineIntegral = new FresnelSineIntegral();
[7707]80      fresnelSineIntegral.InitialFrequency = 0.0;
[7696]81      var gamma = new Gamma();
[7707]82      gamma.InitialFrequency = 0.0;
[7696]83      var hypCosineIntegral = new HyperbolicCosineIntegral();
[7707]84      hypCosineIntegral.InitialFrequency = 0.0;
[7696]85      var hypSineIntegral = new HyperbolicSineIntegral();
[7707]86      hypSineIntegral.InitialFrequency = 0.0;
[7696]87      var norm = new Norm();
[7707]88      norm.InitialFrequency = 0.0;
[7696]89      var psi = new Psi();
[7707]90      psi.InitialFrequency = 0.0;
[7696]91      var sineIntegral = new SineIntegral();
[7707]92      sineIntegral.InitialFrequency = 0.0;
[7696]93
[3841]94      var exp = new Exponential();
95      var @if = new IfThenElse();
96      var gt = new GreaterThan();
97      var lt = new LessThan();
98      var and = new And();
99      var or = new Or();
100      var not = new Not();
[10774]101      var xor = new Xor();
[5373]102
103      var timeLag = new TimeLag();
104      timeLag.InitialFrequency = 0.0;
105      var integral = new Integral();
106      integral.InitialFrequency = 0.0;
107      var derivative = new Derivative();
108      derivative.InitialFrequency = 0.0;
109
[5467]110      var variableCondition = new VariableCondition();
111      variableCondition.InitialFrequency = 0.0;
112
[3841]113      var constant = new Constant();
114      constant.MinValue = -20;
115      constant.MaxValue = 20;
[5574]116      var variableSymbol = new HeuristicLab.Problems.DataAnalysis.Symbolic.Variable();
[4249]117      var laggedVariable = new LaggedVariable();
118      laggedVariable.InitialFrequency = 0.0;
[8798]119      var autoregressiveVariable = new AutoregressiveTargetVariable();
120      autoregressiveVariable.InitialFrequency = 0.0;
121      autoregressiveVariable.Enabled = false;
[3841]122
[7696]123      var allSymbols = new List<Symbol>() { add, sub, mul, div, mean, sin, cos, tan, log, square, pow, sqrt, root, exp,
124        airyA, airyB, bessel, cosineIntegral, dawson, erf, expIntegralEi, fresnelCosineIntegral, fresnelSineIntegral, gamma, hypCosineIntegral, hypSineIntegral, norm, psi, sineIntegral,
[10774]125        @if, gt, lt, and, or, not,xor, timeLag, integral, derivative, constant, variableSymbol, laggedVariable,autoregressiveVariable, variableCondition };
[7696]126      var unaryFunctionSymbols = new List<Symbol>() { square, sqrt, sin, cos, tan, log, exp, not, timeLag, integral, derivative,
127        airyA, airyB, bessel, cosineIntegral, dawson, erf, expIntegralEi, fresnelCosineIntegral, fresnelSineIntegral, gamma, hypCosineIntegral, hypSineIntegral, norm, psi, sineIntegral
128      };
[5373]129
[5467]130      var binaryFunctionSymbols = new List<Symbol>() { pow, root, gt, lt, variableCondition };
[10774]131      var ternarySymbols = new List<Symbol>() { add, sub, mul, div, mean, and, or, xor };
[8798]132      var terminalSymbols = new List<Symbol>() { variableSymbol, constant, laggedVariable, autoregressiveVariable };
[3841]133
134      foreach (var symb in allSymbols)
135        AddSymbol(symb);
136
[7696]137      foreach (var funSymb in ternarySymbols) {
[5686]138        SetSubtreeCount(funSymb, 1, 3);
[3841]139      }
140      foreach (var funSymb in unaryFunctionSymbols) {
[5686]141        SetSubtreeCount(funSymb, 1, 1);
[3841]142      }
143      foreach (var funSymb in binaryFunctionSymbols) {
[5686]144        SetSubtreeCount(funSymb, 2, 2);
[3841]145      }
[4249]146      foreach (var terminalSymbol in terminalSymbols) {
[5686]147        SetSubtreeCount(terminalSymbol, 0, 0);
[4249]148      }
149
[5686]150      SetSubtreeCount(@if, 3, 3);
[3841]151
[4249]152
[3841]153      // allow each symbol as child of the start symbol
154      foreach (var symb in allSymbols) {
[5686]155        AddAllowedChildSymbol(StartSymbol, symb);
[5726]156        AddAllowedChildSymbol(DefunSymbol, symb);
[3841]157      }
158
159      // allow each symbol as child of every other symbol (except for terminals that have maxSubtreeCount == 0)
[5686]160      foreach (var parent in allSymbols.Except(terminalSymbols)) {
161        foreach (var child in allSymbols)
162          AddAllowedChildSymbol(parent, child);
[3841]163      }
164    }
165  }
166}
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