1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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 HeuristicLab.Core;
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23 | using HeuristicLab.Data;
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24 | using HeuristicLab.DataAnalysis;
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25 | using HeuristicLab.GP.Interfaces;
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26 | using System;
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27 | using System.Collections.Generic;
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28 |
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29 | namespace HeuristicLab.GP.StructureIdentification {
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30 | public class TreeComplexityEvaluator : OperatorBase {
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31 | public TreeComplexityEvaluator()
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32 | : base() {
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33 | AddVariableInfo(new VariableInfo("FunctionTree", "The function tree that should be evaluated", typeof(IGeneticProgrammingModel), VariableKind.In));
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34 | AddVariableInfo(new VariableInfo("Complexity", "Complexity as weighted sum over all symbols in the tree.", typeof(DoubleData), VariableKind.New | VariableKind.Out));
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35 | }
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36 |
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37 | public override IOperation Apply(IScope scope) {
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38 | IGeneticProgrammingModel model = GetVariableValue<IGeneticProgrammingModel>("FunctionTree", scope, true);
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39 | IItem complexityItem = GetVariableValue("Complexity", scope, true, false);
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40 | if (complexityItem == null) {
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41 | scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("Complexity"), new DoubleData()));
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42 | }
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43 | GetVariableValue<DoubleData>("Complexity", scope, true).Data = Calculate(model.FunctionTree);
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44 | return null;
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45 | }
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46 |
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47 | public static double Calculate(IFunctionTree tree) {
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48 | double sum = 0.0;
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49 | foreach (var t in FunctionTreeIterator.IteratePostfix(tree)) {
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50 | sum += GetComplexity(t.Function);
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51 | }
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52 | return sum;
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53 | }
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54 |
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55 |
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56 | private static readonly Dictionary<Type, double> complexity = new Dictionary<Type, double>() {
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57 | {typeof(Constant), 0.0},
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58 |
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59 | {typeof(Variable), 1.0},
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60 | {typeof(Differential), 1.0},
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61 |
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62 | { typeof(Addition), 2.0},
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63 | { typeof(Average), 2.0},
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64 | { typeof(Division), 2.0},
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65 | { typeof(Multiplication), 2.0},
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66 | { typeof(Subtraction), 2.0},
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67 | { typeof(And), 2.0},
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68 | { typeof(Or), 2.0},
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69 | { typeof(Not), 2.0},
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70 |
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71 | { typeof(Exponential), 4.0},
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72 | { typeof(Logarithm), 4.0},
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73 | { typeof(Power), 4.0},
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74 | { typeof(Sqrt), 4.0},
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75 | { typeof(Signum), 4.0},
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76 | { typeof(LessThan), 4.0},
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77 | { typeof(GreaterThan), 4.0},
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78 | { typeof(Equal), 4.0},
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79 | { typeof(Xor), 4.0},
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80 | { typeof(IfThenElse), 4.0},
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81 |
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82 | { typeof(Cosinus), 6.0},
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83 | { typeof(Sinus), 6.0},
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84 | { typeof(Tangens), 6.0}
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85 | };
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86 | private static double GetComplexity(IFunction f) {
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87 | return complexity[f.GetType()];
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88 | }
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89 | }
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90 | }
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