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.RealVectorEncoding;
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26 | using HeuristicLab.Operators;
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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.Problems.TestFunctions {
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31 | /// <summary>
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32 | /// Base class for a test function evaluator.
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33 | /// </summary>
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34 | [Item("Evaluator", "Base calls for single objective test function evaluators.")]
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35 | [StorableClass("A73CC567-F9FA-4CF9-868D-C8374F81C747")]
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36 | public abstract class SingleObjectiveTestFunctionProblemEvaluator : InstrumentedOperator, ISingleObjectiveTestFunctionProblemEvaluator {
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37 | /// <summary>
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38 | /// The name of the function
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39 | /// </summary>
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40 | public abstract string FunctionName { get; }
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41 | /// <summary>
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42 | /// These operators should not change their name through the GUI
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43 | /// </summary>
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44 | public override bool CanChangeName {
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45 | get { return false; }
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46 | }
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47 | /// <summary>
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48 | /// Returns whether the actual function constitutes a maximization or minimization problem.
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49 | /// </summary>
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50 | public abstract bool Maximization { get; }
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51 | /// <summary>
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52 | /// Gets the lower and upper bound of the function.
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53 | /// </summary>
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54 | public abstract DoubleMatrix Bounds { get; }
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55 | /// <summary>
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56 | /// Gets the optimum function value.
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57 | /// </summary>
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58 | public abstract double BestKnownQuality { get; }
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59 | /// <summary>
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60 | /// Gets the minimum problem size.
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61 | /// </summary>
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62 | public abstract int MinimumProblemSize { get; }
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63 | /// <summary>
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64 | /// Gets the maximum problem size.
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65 | /// </summary>
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66 | public abstract int MaximumProblemSize { get; }
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67 |
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68 | public ILookupParameter<DoubleValue> QualityParameter {
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69 | get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
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70 | }
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71 | public ILookupParameter<RealVector> PointParameter {
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72 | get { return (ILookupParameter<RealVector>)Parameters["Point"]; }
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73 | }
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74 |
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75 | [StorableConstructor]
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76 | protected SingleObjectiveTestFunctionProblemEvaluator(bool deserializing) : base(deserializing) { }
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77 | protected SingleObjectiveTestFunctionProblemEvaluator(SingleObjectiveTestFunctionProblemEvaluator original, Cloner cloner) : base(original, cloner) { }
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78 | /// <summary>
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79 | /// Initializes a new instance of <see cref="SingleObjectiveTestFunctionEvaluator"/> with two parameters
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80 | /// (<c>Quality</c> and <c>Point</c>).
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81 | /// </summary>
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82 | public SingleObjectiveTestFunctionProblemEvaluator()
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83 | : base() {
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84 | Parameters.Add(new LookupParameter<DoubleValue>("Quality", "Result of the evaluation of a solution."));
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85 | Parameters.Add(new LookupParameter<RealVector>("Point", "The point at which the function should be evaluated."));
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86 | }
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87 |
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88 | public override IOperation InstrumentedApply() {
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89 | RealVector point = PointParameter.ActualValue;
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90 | double quality = Evaluate(point);
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91 | QualityParameter.ActualValue = new DoubleValue(quality);
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92 | return base.InstrumentedApply();
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93 | }
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94 |
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95 | public virtual double Evaluate2D(double x, double y) {
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96 | return Evaluate(new RealVector(new double[] { x, y }));
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97 | }
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98 |
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99 | /// <summary>
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100 | /// Evaluates the test function for a specific <paramref name="point"/>.
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101 | /// </summary>
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102 | /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
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103 | /// <returns>The result value of the function at the given point.</returns>
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104 | public abstract double Evaluate(RealVector point);
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105 |
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106 | /// <summary>
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107 | /// Gets the best known solution for this function.
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108 | /// </summary>
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109 | public abstract RealVector GetBestKnownSolution(int dimension);
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110 | }
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111 | }
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