1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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 System;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Interfaces;
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27 | using HeuristicLab.Parameters;
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28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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29 |
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30 | namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Crossovers {
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31 | /// <summary>
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32 | /// A base class for operators that perform a crossover of symbolic expression trees.
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33 | /// </summary>
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34 | [Item("SymbolicExpressionTreeCrossover", "A base class for operators that perform a crossover of symbolic expression trees.")]
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35 | [StorableClass]
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36 | public abstract class SymbolicExpressionTreeCrossover : SymbolicExpressionTreeOperator, ISymbolicExpressionTreeCrossover {
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37 | private const string ParentsParameterName = "Parents";
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38 | private const string ChildParameterName = "Child";
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39 | private const string FailedCrossoverEventsParameterName = "FailedCrossoverEvents";
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40 | public ILookupParameter<ItemArray<SymbolicExpressionTree>> ParentsParameter {
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41 | get { return (ScopeTreeLookupParameter<SymbolicExpressionTree>)Parameters[ParentsParameterName]; }
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42 | }
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43 | public ILookupParameter<SymbolicExpressionTree> ChildParameter {
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44 | get { return (ILookupParameter<SymbolicExpressionTree>)Parameters[ChildParameterName]; }
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45 | }
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46 | public IValueParameter<IntValue> FailedCrossoverEventsParameter {
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47 | get { return (ValueParameter<IntValue>)Parameters[FailedCrossoverEventsParameterName]; }
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48 | }
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49 |
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50 | public IntValue FailedCrossoverEvents {
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51 | get { return FailedCrossoverEventsParameter.Value; }
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52 | }
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53 | [StorableConstructor]
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54 | protected SymbolicExpressionTreeCrossover(bool deserializing) : base(deserializing) { }
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55 | protected SymbolicExpressionTreeCrossover(SymbolicExpressionTreeCrossover original, Cloner cloner) : base(original, cloner) { }
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56 | protected SymbolicExpressionTreeCrossover()
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57 | : base() {
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58 | Parameters.Add(new ScopeTreeLookupParameter<SymbolicExpressionTree>(ParentsParameterName, "The parent symbolic expression trees which should be crossed."));
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59 | Parameters.Add(new LookupParameter<SymbolicExpressionTree>(ChildParameterName, "The child symbolic expression tree resulting from the crossover."));
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60 | Parameters.Add(new ValueParameter<IntValue>(FailedCrossoverEventsParameterName, "The number of failed crossover events (child is an exact copy of a parent)", new IntValue()));
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61 | }
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62 |
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63 | public sealed override IOperation Apply(IExecutionContext context) {
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64 | if (ParentsParameter.ActualValue.Length != 2)
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65 | throw new ArgumentException("Number of parents must be exactly two for symbolic expression tree crossover operators.");
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66 |
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67 | SymbolicExpressionTree parent0 = ParentsParameter.ActualValue[0];
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68 | SymbolicExpressionTree parent1 = ParentsParameter.ActualValue[1];
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69 |
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70 | IRandom random = RandomParameter.ActualValue;
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71 |
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72 | bool success;
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73 | SymbolicExpressionTree result = Cross(random, parent0, parent1,
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74 | MaxTreeSizeParameter.ActualValue, MaxTreeHeightParameter.ActualValue, out success);
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75 |
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76 | if (!success) FailedCrossoverEvents.Value++;
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77 |
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78 | ChildParameter.ActualValue = result;
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79 | return base.Apply(context);
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80 | }
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81 |
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82 | protected abstract SymbolicExpressionTree Cross(IRandom random,
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83 | SymbolicExpressionTree parent0, SymbolicExpressionTree parent1,
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84 | IntValue maxTreeSize, IntValue maxTreeHeight, out bool success);
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85 | }
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86 | } |
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