1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
4 | *
|
---|
5 | * This file is part of HeuristicLab.
|
---|
6 | *
|
---|
7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
8 | * it under the terms of the GNU General Public License as published by
|
---|
9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
10 | * (at your option) any later version.
|
---|
11 | *
|
---|
12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
15 | * GNU General Public License for more details.
|
---|
16 | *
|
---|
17 | * You should have received a copy of the GNU General Public License
|
---|
18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
19 | */
|
---|
20 | #endregion
|
---|
21 | using System;
|
---|
22 | using System.Collections.Generic;
|
---|
23 | using System.Linq;
|
---|
24 | using HEAL.Attic;
|
---|
25 | using HeuristicLab.Common;
|
---|
26 | using HeuristicLab.Core;
|
---|
27 | using HeuristicLab.Data;
|
---|
28 | using HeuristicLab.Encodings.RealVectorEncoding;
|
---|
29 | using HeuristicLab.Optimization;
|
---|
30 | using HeuristicLab.Parameters;
|
---|
31 | using HeuristicLab.Problems.Instances;
|
---|
32 |
|
---|
33 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
|
---|
34 | [StorableType("AB0C6A73-C432-46FD-AE3B-9841EAB2478C")]
|
---|
35 | [Creatable(CreatableAttribute.Categories.Problems, Priority = 95)]
|
---|
36 | [Item("Test Function (multi-objective)", "Test functions with real valued inputs and multiple objectives.")]
|
---|
37 | public class MultiObjectiveTestFunctionProblem : RealVectorMultiObjectiveProblem,
|
---|
38 | IProblemInstanceConsumer<MOTFData> {
|
---|
39 |
|
---|
40 | #region Parameter Properties
|
---|
41 | public IFixedValueParameter<IntValue> ProblemSizeParameter {
|
---|
42 | get { return (IFixedValueParameter<IntValue>)Parameters["ProblemSize"]; }
|
---|
43 | }
|
---|
44 | public IFixedValueParameter<IntValue> ObjectivesParameter {
|
---|
45 | get { return (IFixedValueParameter<IntValue>)Parameters["Objectives"]; }
|
---|
46 | }
|
---|
47 | public IValueParameter<DoubleMatrix> BoundsParameter {
|
---|
48 | get { return (IValueParameter<DoubleMatrix>)Parameters["Bounds"]; }
|
---|
49 | }
|
---|
50 | public IValueParameter<IMultiObjectiveTestFunction> TestFunctionParameter {
|
---|
51 | get { return (IValueParameter<IMultiObjectiveTestFunction>)Parameters["TestFunction"]; }
|
---|
52 | }
|
---|
53 | public IValueParameter<DoubleArray> ReferencePointParameter {
|
---|
54 | get { return (IValueParameter<DoubleArray>)Parameters["ReferencePoint"]; }
|
---|
55 | }
|
---|
56 | public OptionalValueParameter<DoubleMatrix> BestKnownFrontParameter {
|
---|
57 | get { return (OptionalValueParameter<DoubleMatrix>)Parameters["BestKnownFront"]; }
|
---|
58 | }
|
---|
59 |
|
---|
60 | #endregion
|
---|
61 |
|
---|
62 | #region Properties
|
---|
63 | public override bool[] Maximization {
|
---|
64 | get {
|
---|
65 | //necessary because of virtual member call in base ctor
|
---|
66 | if (!Parameters.ContainsKey("TestFunction")) return new bool[0];
|
---|
67 | return TestFunction.Maximization(Objectives).ToArray();
|
---|
68 | }
|
---|
69 | }
|
---|
70 |
|
---|
71 | public int ProblemSize {
|
---|
72 | get { return ProblemSizeParameter.Value.Value; }
|
---|
73 | set { ProblemSizeParameter.Value.Value = value; }
|
---|
74 | }
|
---|
75 | public int Objectives {
|
---|
76 | get { return ObjectivesParameter.Value.Value; }
|
---|
77 | set { ObjectivesParameter.Value.Value = value; }
|
---|
78 | }
|
---|
79 | public DoubleMatrix Bounds {
|
---|
80 | get { return BoundsParameter.Value; }
|
---|
81 | set { BoundsParameter.Value = value; }
|
---|
82 | }
|
---|
83 | public IMultiObjectiveTestFunction TestFunction {
|
---|
84 | get { return TestFunctionParameter.Value; }
|
---|
85 | set { TestFunctionParameter.Value = value; }
|
---|
86 | }
|
---|
87 | public DoubleArray ReferencePoint {
|
---|
88 | get { return ReferencePointParameter.Value; }
|
---|
89 | set { ReferencePointParameter.Value = value; }
|
---|
90 | }
|
---|
91 | public DoubleMatrix BestKnownFront {
|
---|
92 | get { return BestKnownFrontParameter.Value; }
|
---|
93 | set { BestKnownFrontParameter.Value = value; }
|
---|
94 | }
|
---|
95 | #endregion
|
---|
96 |
|
---|
97 | [StorableConstructor]
|
---|
98 | protected MultiObjectiveTestFunctionProblem(StorableConstructorFlag _) : base(_) { }
|
---|
99 | [StorableHook(HookType.AfterDeserialization)]
|
---|
100 | private void AfterDeserialization() {
|
---|
101 | RegisterEventHandlers();
|
---|
102 | }
|
---|
103 |
|
---|
104 | protected MultiObjectiveTestFunctionProblem(MultiObjectiveTestFunctionProblem original, Cloner cloner)
|
---|
105 | : base(original, cloner) {
|
---|
106 | RegisterEventHandlers();
|
---|
107 | }
|
---|
108 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
109 | return new MultiObjectiveTestFunctionProblem(this, cloner);
|
---|
110 | }
|
---|
111 |
|
---|
112 | public MultiObjectiveTestFunctionProblem()
|
---|
113 | : base() {
|
---|
114 | Parameters.Add(new FixedValueParameter<IntValue>("ProblemSize", "The dimensionality of the problem instance (number of variables in the function).", new IntValue(2)));
|
---|
115 | Parameters.Add(new FixedValueParameter<IntValue>("Objectives", "The dimensionality of the solution vector (number of objectives).", new IntValue(2)));
|
---|
116 | Parameters.Add(new ValueParameter<DoubleMatrix>("Bounds", "The bounds of the solution given as either one line for all variables or a line for each variable. The first column specifies lower bound, the second upper bound.", new DoubleMatrix(new double[,] { { -4, 4 } })));
|
---|
117 | Parameters.Add(new ValueParameter<DoubleArray>("ReferencePoint", "The reference point used for hypervolume calculation."));
|
---|
118 | Parameters.Add(new ValueParameter<IMultiObjectiveTestFunction>("TestFunction", "The function that is to be optimized.", new Fonseca()));
|
---|
119 | Parameters.Add(new OptionalValueParameter<DoubleMatrix>("BestKnownFront", "The currently best known Pareto front"));
|
---|
120 |
|
---|
121 | Encoding.LengthParameter = ProblemSizeParameter;
|
---|
122 | Encoding.BoundsParameter = BoundsParameter;
|
---|
123 | BestKnownFrontParameter.Hidden = true;
|
---|
124 |
|
---|
125 | UpdateParameterValues();
|
---|
126 | InitializeOperators();
|
---|
127 | RegisterEventHandlers();
|
---|
128 | }
|
---|
129 |
|
---|
130 | private void RegisterEventHandlers() {
|
---|
131 | TestFunctionParameter.ValueChanged += TestFunctionParameterOnValueChanged;
|
---|
132 | ProblemSizeParameter.Value.ValueChanged += ProblemSizeOnValueChanged;
|
---|
133 | ObjectivesParameter.Value.ValueChanged += ObjectivesOnValueChanged;
|
---|
134 | }
|
---|
135 |
|
---|
136 |
|
---|
137 | public override void Analyze(RealVector[] solutions, double[][] qualities, ResultCollection results, IRandom random) {
|
---|
138 | base.Analyze(solutions, qualities, results, random);
|
---|
139 | if (results.ContainsKey("Pareto Front")) {
|
---|
140 | ((DoubleMatrix)results["Pareto Front"].Value).SortableView = true;
|
---|
141 | }
|
---|
142 | }
|
---|
143 |
|
---|
144 | /// <summary>
|
---|
145 | /// Checks whether a given solution violates the contraints of this function.
|
---|
146 | /// </summary>
|
---|
147 | /// <param name="individual"></param>
|
---|
148 | /// <returns>a double array that holds the distances that describe how much every contraint is violated (0 is not violated). If the current TestFunction does not have constraints an array of length 0 is returned</returns>
|
---|
149 | public double[] CheckContraints(RealVector individual) {
|
---|
150 | var constrainedTestFunction = (IConstrainedTestFunction)TestFunction;
|
---|
151 | if (constrainedTestFunction != null) {
|
---|
152 | return constrainedTestFunction.CheckConstraints(individual, Objectives);
|
---|
153 | }
|
---|
154 | return new double[0];
|
---|
155 | }
|
---|
156 |
|
---|
157 | public override double[] Evaluate(RealVector solution, IRandom random) {
|
---|
158 | return TestFunction.Evaluate(solution, Objectives);
|
---|
159 | }
|
---|
160 |
|
---|
161 |
|
---|
162 | public void Load(MOTFData data) {
|
---|
163 | TestFunction = data.TestFunction;
|
---|
164 | }
|
---|
165 |
|
---|
166 | #region Events
|
---|
167 | private void UpdateParameterValues() {
|
---|
168 | MaximizationParameter.Value = (BoolArray)new BoolArray(TestFunction.Maximization(Objectives)).AsReadOnly();
|
---|
169 |
|
---|
170 | var front = TestFunction.OptimalParetoFront(Objectives);
|
---|
171 | if (front != null) {
|
---|
172 | BestKnownFrontParameter.Value = (DoubleMatrix)Utilities.ToMatrix(front).AsReadOnly();
|
---|
173 | } else BestKnownFrontParameter.Value = null;
|
---|
174 |
|
---|
175 |
|
---|
176 | BoundsParameter.Value = new DoubleMatrix(TestFunction.Bounds(Objectives));
|
---|
177 | ReferencePointParameter.Value = new DoubleArray(TestFunction.ReferencePoint(Objectives));
|
---|
178 | }
|
---|
179 |
|
---|
180 | protected override void OnEncodingChanged() {
|
---|
181 | base.OnEncodingChanged();
|
---|
182 | UpdateParameterValues();
|
---|
183 | ParameterizeAnalyzers();
|
---|
184 | }
|
---|
185 | protected override void OnEvaluatorChanged() {
|
---|
186 | base.OnEvaluatorChanged();
|
---|
187 | UpdateParameterValues();
|
---|
188 | ParameterizeAnalyzers();
|
---|
189 | }
|
---|
190 |
|
---|
191 | private void TestFunctionParameterOnValueChanged(object sender, EventArgs eventArgs) {
|
---|
192 | ProblemSize = Math.Max(TestFunction.MinimumSolutionLength, Math.Min(ProblemSize, TestFunction.MaximumSolutionLength));
|
---|
193 | Objectives = Math.Max(TestFunction.MinimumObjectives, Math.Min(Objectives, TestFunction.MaximumObjectives));
|
---|
194 | ReferencePointParameter.ActualValue = new DoubleArray(TestFunction.ReferencePoint(Objectives));
|
---|
195 | ParameterizeAnalyzers();
|
---|
196 | UpdateParameterValues();
|
---|
197 | OnReset();
|
---|
198 | }
|
---|
199 |
|
---|
200 | private void ProblemSizeOnValueChanged(object sender, EventArgs eventArgs) {
|
---|
201 | ProblemSize = Math.Min(TestFunction.MaximumSolutionLength, Math.Max(TestFunction.MinimumSolutionLength, ProblemSize));
|
---|
202 | UpdateParameterValues();
|
---|
203 | }
|
---|
204 |
|
---|
205 | private void ObjectivesOnValueChanged(object sender, EventArgs eventArgs) {
|
---|
206 | Objectives = Math.Min(TestFunction.MaximumObjectives, Math.Max(TestFunction.MinimumObjectives, Objectives));
|
---|
207 | UpdateParameterValues();
|
---|
208 | }
|
---|
209 |
|
---|
210 | #endregion
|
---|
211 |
|
---|
212 | #region Helpers
|
---|
213 | private void InitializeOperators() {
|
---|
214 | Operators.Add(new CrowdingAnalyzer());
|
---|
215 | Operators.Add(new GenerationalDistanceAnalyzer());
|
---|
216 | Operators.Add(new InvertedGenerationalDistanceAnalyzer());
|
---|
217 | Operators.Add(new HypervolumeAnalyzer());
|
---|
218 | Operators.Add(new SpacingAnalyzer());
|
---|
219 | Operators.Add(new ScatterPlotAnalyzer());
|
---|
220 |
|
---|
221 | ParameterizeAnalyzers();
|
---|
222 | }
|
---|
223 |
|
---|
224 | private IEnumerable<IMultiObjectiveTestFunctionAnalyzer> Analyzers {
|
---|
225 | get { return Operators.OfType<IMultiObjectiveTestFunctionAnalyzer>(); }
|
---|
226 | }
|
---|
227 |
|
---|
228 | private void ParameterizeAnalyzers() {
|
---|
229 | foreach (var analyzer in Analyzers) {
|
---|
230 | analyzer.ResultsParameter.ActualName = "Results";
|
---|
231 | analyzer.QualitiesParameter.ActualName = Evaluator.QualitiesParameter.ActualName;
|
---|
232 | analyzer.TestFunctionParameter.ActualName = TestFunctionParameter.Name;
|
---|
233 | analyzer.BestKnownFrontParameter.ActualName = BestKnownFrontParameter.Name;
|
---|
234 |
|
---|
235 | var crowdingAnalyzer = analyzer as CrowdingAnalyzer;
|
---|
236 | if (crowdingAnalyzer != null) {
|
---|
237 | crowdingAnalyzer.BoundsParameter.ActualName = BoundsParameter.Name;
|
---|
238 | }
|
---|
239 |
|
---|
240 | var scatterPlotAnalyzer = analyzer as ScatterPlotAnalyzer;
|
---|
241 | if (scatterPlotAnalyzer != null) {
|
---|
242 | scatterPlotAnalyzer.IndividualsParameter.ActualName = Encoding.Name;
|
---|
243 | }
|
---|
244 | }
|
---|
245 | }
|
---|
246 |
|
---|
247 | #endregion
|
---|
248 | }
|
---|
249 | }
|
---|
250 |
|
---|