[3647] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14186] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3647] | 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.Linq;
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[4722] | 23 | using HeuristicLab.Common;
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[4068] | 24 | using HeuristicLab.Core;
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[3647] | 25 | using HeuristicLab.Data;
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[4068] | 26 | using HeuristicLab.Encodings.RealVectorEncoding;
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[3647] | 27 | using HeuristicLab.Operators;
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[4068] | 28 | using HeuristicLab.Optimization;
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[3647] | 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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[3797] | 32 | namespace HeuristicLab.Problems.TestFunctions {
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[3647] | 33 | /// <summary>
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| 34 | /// An operator for analyzing the best solution for a SingleObjectiveTestFunction problem.
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| 35 | /// </summary>
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[3661] | 36 | [Item("BestSingleObjectiveTestFunctionSolutionAnalyzer", "An operator for analyzing the best solution for a SingleObjectiveTestFunction problem.")]
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[3647] | 37 | [StorableClass]
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[12005] | 38 | public class BestSingleObjectiveTestFunctionSolutionAnalyzer : SingleSuccessorOperator, IBestSingleObjectiveTestFunctionSolutionAnalyzer {
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[7172] | 39 | public virtual bool EnabledByDefault {
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| 40 | get { return true; }
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| 41 | }
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| 42 |
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[3787] | 43 | public LookupParameter<BoolValue> MaximizationParameter {
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| 44 | get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 45 | }
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[3661] | 46 | public ScopeTreeLookupParameter<RealVector> RealVectorParameter {
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| 47 | get { return (ScopeTreeLookupParameter<RealVector>)Parameters["RealVector"]; }
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[3647] | 48 | }
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| 49 | ILookupParameter IBestSingleObjectiveTestFunctionSolutionAnalyzer.RealVectorParameter {
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| 50 | get { return RealVectorParameter; }
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| 51 | }
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[3661] | 52 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 53 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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[3647] | 54 | }
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| 55 | ILookupParameter IBestSingleObjectiveTestFunctionSolutionAnalyzer.QualityParameter {
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| 56 | get { return QualityParameter; }
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| 57 | }
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| 58 | public ILookupParameter<SingleObjectiveTestFunctionSolution> BestSolutionParameter {
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| 59 | get { return (ILookupParameter<SingleObjectiveTestFunctionSolution>)Parameters["BestSolution"]; }
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| 60 | }
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[3781] | 61 | public ILookupParameter<RealVector> BestKnownSolutionParameter {
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| 62 | get { return (ILookupParameter<RealVector>)Parameters["BestKnownSolution"]; }
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| 63 | }
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| 64 | public ILookupParameter<DoubleValue> BestKnownQualityParameter {
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| 65 | get { return (ILookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 66 | }
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[3647] | 67 | public IValueLookupParameter<ResultCollection> ResultsParameter {
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| 68 | get { return (IValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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| 69 | }
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[3661] | 70 | public IValueLookupParameter<ISingleObjectiveTestFunctionProblemEvaluator> EvaluatorParameter {
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| 71 | get { return (IValueLookupParameter<ISingleObjectiveTestFunctionProblemEvaluator>)Parameters["Evaluator"]; }
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| 72 | }
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[3894] | 73 | public ILookupParameter<DoubleMatrix> BoundsParameter {
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| 74 | get { return (ILookupParameter<DoubleMatrix>)Parameters["Bounds"]; }
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| 75 | }
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[3647] | 76 |
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[4086] | 77 | [StorableConstructor]
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[3894] | 78 | protected BestSingleObjectiveTestFunctionSolutionAnalyzer(bool deserializing) : base(deserializing) { }
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[4722] | 79 | protected BestSingleObjectiveTestFunctionSolutionAnalyzer(BestSingleObjectiveTestFunctionSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
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[3661] | 80 | public BestSingleObjectiveTestFunctionSolutionAnalyzer()
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[3647] | 81 | : base() {
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[3787] | 82 | Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem."));
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[3659] | 83 | Parameters.Add(new ScopeTreeLookupParameter<RealVector>("RealVector", "The SingleObjectiveTestFunction solutions from which the best solution should be visualized."));
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| 84 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the SingleObjectiveTestFunction solutions which should be visualized."));
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[3647] | 85 | Parameters.Add(new LookupParameter<SingleObjectiveTestFunctionSolution>("BestSolution", "The best SingleObjectiveTestFunction solution."));
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[3781] | 86 | Parameters.Add(new LookupParameter<RealVector>("BestKnownSolution", "The best known solution."));
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| 87 | Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution."));
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[3647] | 88 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the SingleObjectiveTestFunction solution should be stored."));
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[3661] | 89 | Parameters.Add(new ValueLookupParameter<ISingleObjectiveTestFunctionProblemEvaluator>("Evaluator", "The evaluator with which the solution is evaluated."));
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[3894] | 90 | Parameters.Add(new LookupParameter<DoubleMatrix>("Bounds", "The bounds of the function."));
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[6051] | 91 |
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| 92 | MaximizationParameter.Hidden = true;
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| 93 | RealVectorParameter.Hidden = true;
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| 94 | QualityParameter.Hidden = true;
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| 95 | BestSolutionParameter.Hidden = true;
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| 96 | BestKnownSolutionParameter.Hidden = true;
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| 97 | BestKnownQualityParameter.Hidden = true;
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| 98 | ResultsParameter.Hidden = true;
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| 99 | EvaluatorParameter.Hidden = true;
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| 100 | BoundsParameter.Hidden = true;
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[3647] | 101 | }
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| 102 |
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[3894] | 103 | /// <summary>
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| 104 | /// This method can simply be removed when the plugin version is > 3.3
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| 105 | /// </summary>
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| 106 | [StorableHook(HookType.AfterDeserialization)]
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[4722] | 107 | private void AfterDeserialization() {
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[4098] | 108 | // BackwardsCompatibility3.3
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[3894] | 109 | // Bounds are introduced in 3.3.0.3894
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| 110 | if (!Parameters.ContainsKey("Bounds"))
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| 111 | Parameters.Add(new LookupParameter<DoubleMatrix>("Bounds", "The bounds of the function."));
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| 112 | }
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| 113 |
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[4722] | 114 | public override IDeepCloneable Clone(Cloner cloner) {
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| 115 | return new BestSingleObjectiveTestFunctionSolutionAnalyzer(this, cloner);
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| 116 | }
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| 117 |
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[3647] | 118 | public override IOperation Apply() {
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[3661] | 119 | ItemArray<RealVector> realVectors = RealVectorParameter.ActualValue;
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[3647] | 120 | ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
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[3787] | 121 | bool max = MaximizationParameter.ActualValue.Value;
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| 122 | DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
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[3894] | 123 | SingleObjectiveTestFunctionSolution solution = BestSolutionParameter.ActualValue;
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[3647] | 124 |
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[5204] | 125 | int i = -1;
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| 126 | if (!max) i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
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| 127 | else i = qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;
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[3787] | 128 |
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| 129 | if (bestKnownQuality == null ||
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| 130 | max && qualities[i].Value > bestKnownQuality.Value
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| 131 | || !max && qualities[i].Value < bestKnownQuality.Value) {
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| 132 | BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
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| 133 | BestKnownSolutionParameter.ActualValue = (RealVector)realVectors[i].Clone();
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[3894] | 134 | if (solution != null)
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| 135 | solution.BestKnownRealVector = BestKnownSolutionParameter.ActualValue;
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[3787] | 136 | }
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| 137 |
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[3647] | 138 | if (solution == null) {
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[3894] | 139 | ResultCollection results = ResultsParameter.ActualValue;
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[10795] | 140 | solution = new SingleObjectiveTestFunctionSolution((RealVector)realVectors[i].Clone(),
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| 141 | (DoubleValue)qualities[i].Clone(),
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| 142 | EvaluatorParameter.ActualValue);
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| 143 | solution.Population = realVectors[i].Length == 2
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| 144 | ? new ItemArray<RealVector>(realVectors.Select(x => x.Clone()).Cast<RealVector>())
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| 145 | : null;
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[3781] | 146 | solution.BestKnownRealVector = BestKnownSolutionParameter.ActualValue;
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[3894] | 147 | solution.Bounds = BoundsParameter.ActualValue;
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[3647] | 148 | BestSolutionParameter.ActualValue = solution;
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[3787] | 149 | results.Add(new Result("Best Solution", solution));
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[3647] | 150 | } else {
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[3781] | 151 | if (max && qualities[i].Value > solution.BestQuality.Value
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| 152 | || !max && qualities[i].Value < solution.BestQuality.Value) {
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[10795] | 153 | solution.BestRealVector = (RealVector)realVectors[i].Clone();
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| 154 | solution.BestQuality = (DoubleValue)qualities[i].Clone();
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[3661] | 155 | }
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[10795] | 156 | solution.Population = realVectors[i].Length == 2
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| 157 | ? new ItemArray<RealVector>(realVectors.Select(x => x.Clone()).Cast<RealVector>())
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| 158 | : null;
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[3647] | 159 | }
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| 160 |
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| 161 | return base.Apply();
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| 162 | }
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| 163 | }
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| 164 | }
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