1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2014 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 |
|
---|
22 | using HeuristicLab.Common;
|
---|
23 | using HeuristicLab.Core;
|
---|
24 | using HeuristicLab.Data;
|
---|
25 | using HeuristicLab.Operators;
|
---|
26 | using HeuristicLab.Optimization;
|
---|
27 | using HeuristicLab.Optimization.Operators;
|
---|
28 | using HeuristicLab.Parameters;
|
---|
29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
30 |
|
---|
31 | namespace HeuristicLab.Algorithms.ALPS {
|
---|
32 |
|
---|
33 | [Item("AlpsGeneticAlgorithmMainLoop", "An ALPS genetic algorithm main loop operator.")]
|
---|
34 | public class AlpsGeneticAlgorithmMainLoop : AlgorithmOperator {
|
---|
35 | #region Parameter Properties
|
---|
36 | public ILookupParameter<IRandom> RandomParameter {
|
---|
37 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
|
---|
38 | }
|
---|
39 | public ILookupParameter<BoolValue> MaximizationParameter {
|
---|
40 | get { return (ILookupParameter<BoolValue>)Parameters["Maximization"]; }
|
---|
41 | }
|
---|
42 | public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
|
---|
43 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
|
---|
44 | }
|
---|
45 | public ILookupParameter<DoubleValue> BestKnownQualityParameter {
|
---|
46 | get { return (ILookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
|
---|
47 | }
|
---|
48 | public ILookupParameter<IntValue> PopulationSizeParameter {
|
---|
49 | get { return (ILookupParameter<IntValue>)Parameters["PopulationSize"]; }
|
---|
50 | }
|
---|
51 | public ILookupParameter<IntValue> MaximumGenerationsParameter {
|
---|
52 | get { return (ILookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
|
---|
53 | }
|
---|
54 | public ILookupParameter<IOperator> SelectorParameter {
|
---|
55 | get { return (ILookupParameter<IOperator>)Parameters["Selector"]; }
|
---|
56 | }
|
---|
57 | public ILookupParameter<IOperator> CrossoverParameter {
|
---|
58 | get { return (ILookupParameter<IOperator>)Parameters["Crossover"]; }
|
---|
59 | }
|
---|
60 | public ILookupParameter<PercentValue> MutationProbabilityParameter {
|
---|
61 | get { return (ILookupParameter<PercentValue>)Parameters["MutationProbability"]; }
|
---|
62 | }
|
---|
63 | public ILookupParameter<IOperator> MutatorParameter {
|
---|
64 | get { return (ILookupParameter<IOperator>)Parameters["Mutator"]; }
|
---|
65 | }
|
---|
66 | public ILookupParameter<IOperator> EvaluatorParameter {
|
---|
67 | get { return (ILookupParameter<IOperator>)Parameters["Evaluator"]; }
|
---|
68 | }
|
---|
69 | public ILookupParameter<IntValue> ElitesParameter {
|
---|
70 | get { return (ILookupParameter<IntValue>)Parameters["Elites"]; }
|
---|
71 | }
|
---|
72 | public IValueLookupParameter<BoolValue> ReevaluateElitesParameter {
|
---|
73 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReevaluateElites"]; }
|
---|
74 | }
|
---|
75 | public ILookupParameter<ResultCollection> ResultsParameter {
|
---|
76 | get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
|
---|
77 | }
|
---|
78 | public ILookupParameter<IOperator> AnalyzerParameter {
|
---|
79 | get { return (ILookupParameter<IOperator>)Parameters["Analyzer"]; }
|
---|
80 | }
|
---|
81 | public ILookupParameter<IOperator> LayerAnalyzerParameter {
|
---|
82 | get { return (ILookupParameter<IOperator>)Parameters["LayerAnalyzer"]; }
|
---|
83 | }
|
---|
84 | #endregion
|
---|
85 |
|
---|
86 | [StorableConstructor]
|
---|
87 | private AlpsGeneticAlgorithmMainLoop(bool deserializing)
|
---|
88 | : base(deserializing) { }
|
---|
89 | private AlpsGeneticAlgorithmMainLoop(AlpsGeneticAlgorithmMainLoop original, Cloner cloner)
|
---|
90 | : base(original, cloner) { }
|
---|
91 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
92 | return new AlpsGeneticAlgorithmMainLoop(this, cloner);
|
---|
93 | }
|
---|
94 | public AlpsGeneticAlgorithmMainLoop()
|
---|
95 | : base() {
|
---|
96 | Parameters.Add(new LookupParameter<IRandom>("Random", "A pseudo random number generator."));
|
---|
97 | Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
|
---|
98 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
|
---|
99 | Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
|
---|
100 | Parameters.Add(new LookupParameter<IntValue>("PopulationSize", "The size of the population of solutions."));
|
---|
101 | Parameters.Add(new LookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations that the algorithm should process."));
|
---|
102 | Parameters.Add(new LookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
|
---|
103 | Parameters.Add(new LookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
|
---|
104 | Parameters.Add(new LookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
|
---|
105 | Parameters.Add(new LookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
|
---|
106 | Parameters.Add(new LookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions."));
|
---|
107 | Parameters.Add(new LookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
|
---|
108 | Parameters.Add(new LookupParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)"));
|
---|
109 | Parameters.Add(new LookupParameter<ResultCollection>("Results", "The results collection to store the results."));
|
---|
110 | Parameters.Add(new LookupParameter<IOperator>("Analyzer", "The operator used to the analyze all individuals."));
|
---|
111 | Parameters.Add(new LookupParameter<IOperator>("LayerAnalyzer", "The operator used to analyze each layer."));
|
---|
112 |
|
---|
113 |
|
---|
114 | var variableCreator = new VariableCreator() { Name = "Initialize" };
|
---|
115 | var resultsCollector = new ResultsCollector();
|
---|
116 | var initAnalyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
|
---|
117 | var initLayerAnalyzerProcessor = new SubScopesProcessor();
|
---|
118 | var initLayerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
|
---|
119 | var matingPoolCreator = new CombinedOperator() { Name = "Create Mating Pools" };
|
---|
120 | var matingPoolProcessor = new UniformSubScopesProcessor();
|
---|
121 | var mainOperator = new CombinedOperator() { Name = "Perform Generation" };
|
---|
122 | var layerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
|
---|
123 | var eldersEmigrator = new CombinedOperator() { Name = "Emigrate Elders" };
|
---|
124 | var layerUpdator = new CombinedOperator() { Name = "Update Layers" };
|
---|
125 | var analyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
|
---|
126 | var generationsComparator = new Comparator() { Name = "Generations >= MaximumGenerations" };
|
---|
127 | var terminateBranch = new ConditionalBranch() { Name = "Terminate?" };
|
---|
128 |
|
---|
129 | OperatorGraph.InitialOperator = variableCreator;
|
---|
130 |
|
---|
131 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
|
---|
132 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("GenerationsSinceLastRefresh", new IntValue(0)));
|
---|
133 | variableCreator.Successor = resultsCollector;
|
---|
134 |
|
---|
135 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
|
---|
136 | resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each layer", "Results"));
|
---|
137 | resultsCollector.Successor = initAnalyzerPlaceholder;
|
---|
138 |
|
---|
139 | initAnalyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
|
---|
140 | initAnalyzerPlaceholder.Successor = initLayerAnalyzerProcessor;
|
---|
141 |
|
---|
142 | initLayerAnalyzerProcessor.Operators.Add(initLayerAnalyzerPlaceholder);
|
---|
143 | initLayerAnalyzerProcessor.Successor = matingPoolCreator;
|
---|
144 |
|
---|
145 | initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
|
---|
146 | initLayerAnalyzerPlaceholder.Successor = null;
|
---|
147 |
|
---|
148 | matingPoolCreator.Successor = matingPoolProcessor;
|
---|
149 |
|
---|
150 | matingPoolProcessor.Parallel.Value = true;
|
---|
151 | matingPoolProcessor.Operator = mainOperator;
|
---|
152 | matingPoolProcessor.Successor = eldersEmigrator;
|
---|
153 |
|
---|
154 | mainOperator.Successor = layerAnalyzerPlaceholder;
|
---|
155 |
|
---|
156 | layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
|
---|
157 | layerAnalyzerPlaceholder.Successor = null;
|
---|
158 |
|
---|
159 | eldersEmigrator.Successor = layerUpdator;
|
---|
160 |
|
---|
161 | layerUpdator.Successor = analyzerPlaceholder;
|
---|
162 |
|
---|
163 | analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
|
---|
164 | analyzerPlaceholder.Successor = generationsComparator;
|
---|
165 |
|
---|
166 | generationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
|
---|
167 | generationsComparator.LeftSideParameter.ActualName = "Generations";
|
---|
168 | generationsComparator.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
|
---|
169 | generationsComparator.ResultParameter.ActualName = "TerminateGenerations";
|
---|
170 | generationsComparator.Successor = terminateBranch;
|
---|
171 |
|
---|
172 | terminateBranch.ConditionParameter.ActualName = "Terminategenerations";
|
---|
173 | terminateBranch.FalseBranch = matingPoolCreator;
|
---|
174 |
|
---|
175 | }
|
---|
176 |
|
---|
177 | }
|
---|
178 | } |
---|