[17902] | 1 | #region License Information
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| 2 |
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| 3 | /* HeuristicLab
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| 4 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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| 21 |
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| 22 | #endregion
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| 23 | using System.Collections.Generic;
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[17650] | 24 | using System.Linq;
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[17628] | 25 | using HEAL.Attic;
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| 26 | using HeuristicLab.Common;
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| 27 | using HeuristicLab.Core;
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| 28 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 31 | [StorableType("5A2300A0-D0FC-4F2D-B910-F86384FE9052")]
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[17958] | 32 | [Item("LinearScalingGrammar", "Represents a grammar which includes linear scaling parts implicitly.")]
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| 33 | public class LinearScalingGrammar : DataAnalysisGrammar, ISymbolicDataAnalysisGrammar {
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| 34 | public LinearScalingGrammar() : base(ItemAttribute.GetName(typeof(LinearScalingGrammar)),
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| 35 | ItemAttribute.GetDescription(typeof(LinearScalingGrammar))) {
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[17628] | 36 | Initialize();
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| 37 | }
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| 38 |
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| 39 | [StorableConstructor]
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[17958] | 40 | public LinearScalingGrammar(StorableConstructorFlag _) : base(_) { }
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[17628] | 41 |
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[17958] | 42 | protected LinearScalingGrammar(LinearScalingGrammar original, Cloner cloner) : base(original, cloner) { }
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| 43 | public LinearScalingGrammar(string name, string description) : base(name, description) { }
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[17628] | 44 |
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| 45 | public override IDeepCloneable Clone(Cloner cloner) {
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[17958] | 46 | return new LinearScalingGrammar(this, cloner);
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[17628] | 47 | }
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| 48 |
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| 49 | private void Initialize() {
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| 50 | #region Symbols
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| 51 |
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[17880] | 52 | var add = new Addition();
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| 53 | var sub = new Subtraction();
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| 54 | var mul = new Multiplication();
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| 55 | var div = new Division();
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| 56 | var sin = new Sine();
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| 57 | var cos = new Cosine();
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| 58 | var tan = new Tangent();
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[17902] | 59 | var tanh = new HyperbolicTangent();
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[17880] | 60 | var log = new Logarithm();
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[17902] | 61 | var exp = new Exponential();
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[17880] | 62 | var square = new Square();
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| 63 | var sqrt = new SquareRoot();
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[17902] | 64 | var cube = new Cube();
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| 65 | var cbrt = new CubeRoot();
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| 66 | var abs = new Absolute();
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| 67 | var aq = new AnalyticQuotient();
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[18132] | 68 | var number = new Number();
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| 69 | number.MinValue = -20;
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| 70 | number.MaxValue = 20;
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[17628] | 71 | var constant = new Constant();
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[18132] | 72 | constant.Enabled = false;
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[17628] | 73 | var variableSymbol = new Variable();
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| 74 |
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| 75 | #endregion
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| 76 |
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| 77 | //Special symbols
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[17902] | 78 | var offset = new Addition { Name = "Offset" };
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| 79 | var scaling = new Multiplication { Name = "Scaling" };
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[17628] | 80 | //all other symbols
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| 81 | var allSymbols = new List<Symbol> {
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[18132] | 82 | add, sub, mul, div, number, constant, variableSymbol, sin, cos, tan, log, square, sqrt, cube, cbrt, exp,
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[17902] | 83 | tanh, aq, abs
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[17628] | 84 | };
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| 85 |
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[17902] | 86 | var bivariateFuncs = new List<Symbol> { add, sub, mul, div, aq };
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| 87 | var univariateFuncs = new List<Symbol> { sin, cos, tan, tanh, exp, log, abs, square, cube, sqrt, cbrt };
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| 88 | var realValueSymbols = new List<Symbol> {
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| 89 | add, sub, mul, div, sin, cos, tan, tanh, exp, log, aq, abs, square, cube, sqrt, cbrt,
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[18132] | 90 | variableSymbol, number, constant
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[17902] | 91 | };
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[17628] | 92 |
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| 93 |
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| 94 | //Add special symbols
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| 95 | AddSymbol(offset);
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| 96 | AddSymbol(scaling);
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| 97 | //Add all other symbols
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| 98 | foreach (var symb in allSymbols) AddSymbol(symb);
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| 99 |
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| 100 | #region define subtree count for special symbols
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| 101 |
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[17902] | 102 | foreach (var symb in bivariateFuncs) SetSubtreeCount(symb, 2, 2);
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[17628] | 103 |
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[17902] | 104 | foreach (var symb in univariateFuncs) SetSubtreeCount(symb, 1, 1);
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[17628] | 105 |
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| 106 | SetSubtreeCount(offset, 2, 2);
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| 107 | SetSubtreeCount(scaling, 2, 2);
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| 108 |
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| 109 | #endregion
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| 110 |
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| 111 | #region child symbols config
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| 112 |
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| 113 | AddAllowedChildSymbol(StartSymbol, offset);
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| 114 |
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| 115 | //Define childs for offset
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| 116 | AddAllowedChildSymbol(offset, scaling, 0);
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[18132] | 117 | AddAllowedChildSymbol(offset, number, 1);
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[17628] | 118 |
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| 119 | //Define childs for scaling
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| 120 | foreach (var symb in allSymbols) AddAllowedChildSymbol(scaling, symb, 0);
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[18132] | 121 | AddAllowedChildSymbol(scaling, number, 1);
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[17628] | 122 |
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| 123 | //Define childs for realvalue symbols
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| 124 | foreach (var symb in realValueSymbols) {
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| 125 | foreach (var c in realValueSymbols) AddAllowedChildSymbol(symb, c);
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| 126 | }
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| 127 |
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| 128 | #endregion
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[17650] | 129 |
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[17902] | 130 | Symbols.First(s => s is Cube).Enabled = false;
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| 131 | Symbols.First(s => s is CubeRoot).Enabled = false;
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| 132 | Symbols.First(s => s is Absolute).Enabled = false;
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[18132] | 133 | Symbols.First(s => s is Constant).Enabled = false;
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[17628] | 134 | }
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| 135 | }
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| 136 | } |
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