1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2015 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.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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26 | using HeuristicLab.Operators;
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27 | using HeuristicLab.Optimization;
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28 | using HeuristicLab.Parameters;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 |
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31 | namespace HeuristicLab.Problems.LawnMower {
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32 | [StorableClass("09C181E0-09B8-4A2A-B8D1-C5A0EB25A036")]
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33 | [Item("Lawn Mower Evaluator", "Evaluator for the lawn mower demo GP problem.")]
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34 | public class Evaluator : InstrumentedOperator, ISingleObjectiveEvaluator {
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35 |
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36 | private const string QualityParameterName = "Quality";
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37 | private const string LawnMowerProgramParameterName = "LawnMowerProgram";
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38 | private const string LawnWidthParameterName = "LawnWidth";
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39 | private const string LawnLengthParameterName = "LawnLength";
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40 |
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41 | public ILookupParameter<DoubleValue> QualityParameter {
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42 | get { return (ILookupParameter<DoubleValue>)Parameters[QualityParameterName]; }
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43 | }
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44 | public ILookupParameter<ISymbolicExpressionTree> LawnMowerProgramParameter {
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45 | get { return (ILookupParameter<ISymbolicExpressionTree>)Parameters[LawnMowerProgramParameterName]; }
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46 | }
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47 | public ILookupParameter<IntValue> LawnWidthParameter {
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48 | get { return (ILookupParameter<IntValue>)Parameters[LawnWidthParameterName]; }
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49 | }
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50 | public ILookupParameter<IntValue> LawnLengthParameter {
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51 | get { return (ILookupParameter<IntValue>)Parameters[LawnLengthParameterName]; }
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52 | }
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53 |
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54 | [StorableConstructor]
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55 | protected Evaluator(bool deserializing) : base(deserializing) { }
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56 | protected Evaluator(Evaluator original, Cloner cloner)
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57 | : base(original, cloner) {
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58 | }
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59 |
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60 | public Evaluator() {
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61 | Parameters.Add(new LookupParameter<DoubleValue>(QualityParameterName, "The solution quality of the lawn mower program."));
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62 | Parameters.Add(new LookupParameter<ISymbolicExpressionTree>(LawnMowerProgramParameterName, "The lawn mower program to evaluate represented as symbolic expression tree."));
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63 | Parameters.Add(new LookupParameter<IntValue>(LawnWidthParameterName, "The width of the lawn to mow."));
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64 | Parameters.Add(new LookupParameter<IntValue>(LawnLengthParameterName, "The length of the lawn to mow."));
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65 | }
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66 |
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67 | [StorableHook(HookType.AfterDeserialization)]
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68 | private void AfterDeserialization() {
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69 | }
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70 |
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71 | public override IDeepCloneable Clone(Cloner cloner) {
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72 | return new Evaluator(this, cloner);
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73 | }
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74 | public override IOperation InstrumentedApply() {
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75 | int length = LawnLengthParameter.ActualValue.Value;
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76 | int width = LawnWidthParameter.ActualValue.Value;
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77 | ISymbolicExpressionTree tree = LawnMowerProgramParameter.ActualValue;
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78 |
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79 | bool[,] lawn = Interpreter.EvaluateLawnMowerProgram(length, width, tree);
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80 |
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81 | // count number of squares that have been mowed
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82 | int numberOfMowedCells = 0;
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83 | for (int i = 0; i < length; i++)
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84 | for (int j = 0; j < width; j++)
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85 | if (lawn[i, j]) {
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86 | numberOfMowedCells++;
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87 | }
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88 |
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89 | QualityParameter.ActualValue = new DoubleValue(numberOfMowedCells);
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90 | return base.InstrumentedApply();
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91 | }
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92 | }
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93 | }
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