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source: trunk/sources/HeuristicLab.Algorithms.SGA/3.3/SGAMainLoop.cs @ 3096

Last change on this file since 3096 was 3096, checked in by swagner, 14 years ago

Replaced LeftSelector and RightSelector by BestSelector and WorstSelector (#926)

File size: 16.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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
22using HeuristicLab.Analysis;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Operators;
26using HeuristicLab.Optimization.Operators;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29using HeuristicLab.Selection;
30
31namespace HeuristicLab.Algorithms.SGA {
32  /// <summary>
33  /// An operator which represents the main loop of a standard genetic algorithm (SGA).
34  /// </summary>
35  [Item("SGAMainLoop", "An operator which represents the main loop of a standard genetic algorithm (SGA).")]
36  [Creatable("Test")]
37  [StorableClass]
38  public sealed class SGAMainLoop : AlgorithmOperator {
39    #region Parameter properties
40    public ValueLookupParameter<IRandom> RandomParameter {
41      get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
42    }
43    public ValueLookupParameter<BoolValue> MaximizationParameter {
44      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
45    }
46    public SubScopesLookupParameter<DoubleValue> QualityParameter {
47      get { return (SubScopesLookupParameter<DoubleValue>)Parameters["Quality"]; }
48    }
49    public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
50      get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
51    }
52    public ValueLookupParameter<IOperator> SelectorParameter {
53      get { return (ValueLookupParameter<IOperator>)Parameters["Selector"]; }
54    }
55    public ValueLookupParameter<IOperator> CrossoverParameter {
56      get { return (ValueLookupParameter<IOperator>)Parameters["Crossover"]; }
57    }
58    public ValueLookupParameter<PercentValue> MutationProbabilityParameter {
59      get { return (ValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
60    }
61    public ValueLookupParameter<IOperator> MutatorParameter {
62      get { return (ValueLookupParameter<IOperator>)Parameters["Mutator"]; }
63    }
64    public ValueLookupParameter<IOperator> EvaluatorParameter {
65      get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
66    }
67    public ValueLookupParameter<IntValue> ElitesParameter {
68      get { return (ValueLookupParameter<IntValue>)Parameters["Elites"]; }
69    }
70    public ValueLookupParameter<IntValue> MaximumGenerationsParameter {
71      get { return (ValueLookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
72    }
73    public ValueLookupParameter<VariableCollection> ResultsParameter {
74      get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
75    }
76    private ScopeParameter CurrentScopeParameter {
77      get { return (ScopeParameter)Parameters["CurrentScope"]; }
78    }
79
80    public IScope CurrentScope {
81      get { return CurrentScopeParameter.ActualValue; }
82    }
83    #endregion
84
85    [StorableConstructor]
86    private SGAMainLoop(bool deserializing) : base() { }
87    public SGAMainLoop()
88      : base() {
89      Initialize();
90    }
91
92    private void Initialize() {
93      #region Create parameters
94      Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
95      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
96      Parameters.Add(new SubScopesLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
97      Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
98      Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
99      Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
100      Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
101      Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
102      Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions."));
103      Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
104      Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
105      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
106      Parameters.Add(new ScopeParameter("CurrentScope", "The current scope which represents a population of solutions on which the SGA should be applied."));
107      #endregion
108
109      #region Create operators
110      VariableCreator variableCreator = new VariableCreator();
111      BestQualityMemorizer bestQualityMemorizer1 = new BestQualityMemorizer();
112      BestQualityMemorizer bestQualityMemorizer2 = new BestQualityMemorizer();
113      BestAverageWorstQualityCalculator bestAverageWorstQualityCalculator1 = new BestAverageWorstQualityCalculator();
114      DataTableValuesCollector dataTableValuesCollector1 = new DataTableValuesCollector();
115      QualityDifferenceCalculator qualityDifferenceCalculator1 = new QualityDifferenceCalculator();
116      ResultsCollector resultsCollector = new ResultsCollector();
117      Placeholder selector = new Placeholder();
118      SequentialSubScopesProcessor sequentialSubScopesProcessor1 = new SequentialSubScopesProcessor();
119      ChildrenCreator childrenCreator = new ChildrenCreator();
120      UniformSequentialSubScopesProcessor uniformSequentialSubScopesProcessor = new UniformSequentialSubScopesProcessor();
121      Placeholder crossover = new Placeholder();
122      StochasticBranch stochasticBranch = new StochasticBranch();
123      Placeholder mutator = new Placeholder();
124      Placeholder evaluator = new Placeholder();
125      SubScopesRemover subScopesRemover = new SubScopesRemover();
126      SequentialSubScopesProcessor sequentialSubScopesProcessor2 = new SequentialSubScopesProcessor();
127      BestSelector bestSelector = new BestSelector();
128      RightReducer rightReducer = new RightReducer();
129      MergingReducer mergingReducer = new MergingReducer();
130      IntCounter intCounter = new IntCounter();
131      Comparator comparator = new Comparator();
132      BestQualityMemorizer bestQualityMemorizer3 = new BestQualityMemorizer();
133      BestQualityMemorizer bestQualityMemorizer4 = new BestQualityMemorizer();
134      BestAverageWorstQualityCalculator bestAverageWorstQualityCalculator2 = new BestAverageWorstQualityCalculator();
135      DataTableValuesCollector dataTableValuesCollector2 = new DataTableValuesCollector();
136      QualityDifferenceCalculator qualityDifferenceCalculator2 = new QualityDifferenceCalculator();
137      ConditionalBranch conditionalBranch = new ConditionalBranch();
138
139      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
140
141      bestQualityMemorizer1.BestQualityParameter.ActualName = "BestQuality";
142      bestQualityMemorizer1.MaximizationParameter.ActualName = "Maximization";
143      bestQualityMemorizer1.QualityParameter.ActualName = "Quality";
144
145      bestQualityMemorizer2.BestQualityParameter.ActualName = "BestKnownQuality";
146      bestQualityMemorizer2.MaximizationParameter.ActualName = "Maximization";
147      bestQualityMemorizer2.QualityParameter.ActualName = "Quality";
148
149      bestAverageWorstQualityCalculator1.AverageQualityParameter.ActualName = "CurrentAverageQuality";
150      bestAverageWorstQualityCalculator1.BestQualityParameter.ActualName = "CurrentBestQuality";
151      bestAverageWorstQualityCalculator1.MaximizationParameter.ActualName = "Maximization";
152      bestAverageWorstQualityCalculator1.QualityParameter.ActualName = "Quality";
153      bestAverageWorstQualityCalculator1.WorstQualityParameter.ActualName = "CurrentWorstQuality";
154
155      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Best Quality", null, "CurrentBestQuality"));
156      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Average Quality", null, "CurrentAverageQuality"));
157      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Worst Quality", null, "CurrentWorstQuality"));
158      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
159      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Known Quality", null, "BestKnownQuality"));
160      dataTableValuesCollector1.DataTableParameter.ActualName = "Qualities";
161
162      qualityDifferenceCalculator1.AbsoluteDifferenceParameter.ActualName = "AbsoluteDifferenceBestKnownToBest";
163      qualityDifferenceCalculator1.FirstQualityParameter.ActualName = "BestKnownQuality";
164      qualityDifferenceCalculator1.RelativeDifferenceParameter.ActualName = "RelativeDifferenceBestKnownToBest";
165      qualityDifferenceCalculator1.SecondQualityParameter.ActualName = "BestQuality";
166
167      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
168      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Best Quality", null, "CurrentBestQuality"));
169      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Average Quality", null, "CurrentAverageQuality"));
170      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Worst Quality", null, "CurrentWorstQuality"));
171      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
172      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Known Quality", null, "BestKnownQuality"));
173      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Absolute Difference of Best Known Quality to Best Quality", null, "AbsoluteDifferenceBestKnownToBest"));
174      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Relative Difference of Best Known Quality to Best Quality", null, "RelativeDifferenceBestKnownToBest"));
175      resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>("Qualities"));
176      resultsCollector.ResultsParameter.ActualName = "Results";
177
178      selector.Name = "Selector";
179      selector.OperatorParameter.ActualName = "Selector";
180
181      childrenCreator.ParentsPerChild = new IntValue(2);
182
183      crossover.Name = "Crossover";
184      crossover.OperatorParameter.ActualName = "Crossover";
185
186      stochasticBranch.ProbabilityParameter.ActualName = "MutationProbability";
187      stochasticBranch.RandomParameter.ActualName = "Random";
188
189      mutator.Name = "Mutator";
190      mutator.OperatorParameter.ActualName = "Mutator";
191
192      evaluator.Name = "Evaluator";
193      evaluator.OperatorParameter.ActualName = "Evaluator";
194
195      subScopesRemover.RemoveAllSubScopes = true;
196
197      bestSelector.CopySelected = new BoolValue(false);
198      bestSelector.MaximizationParameter.ActualName = "Maximization";
199      bestSelector.NumberOfSelectedSubScopesParameter.ActualName = "Elites";
200      bestSelector.QualityParameter.ActualName = "Quality";
201
202      intCounter.Increment = new IntValue(1);
203      intCounter.ValueParameter.ActualName = "Generations";
204
205      comparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
206      comparator.LeftSideParameter.ActualName = "Generations";
207      comparator.ResultParameter.ActualName = "Terminate";
208      comparator.RightSideParameter.ActualName = "MaximumGenerations";
209
210      bestQualityMemorizer3.BestQualityParameter.ActualName = "BestQuality";
211      bestQualityMemorizer3.MaximizationParameter.ActualName = "Maximization";
212      bestQualityMemorizer3.QualityParameter.ActualName = "Quality";
213
214      bestQualityMemorizer4.BestQualityParameter.ActualName = "BestKnownQuality";
215      bestQualityMemorizer4.MaximizationParameter.ActualName = "Maximization";
216      bestQualityMemorizer4.QualityParameter.ActualName = "Quality";
217
218      bestAverageWorstQualityCalculator2.AverageQualityParameter.ActualName = "CurrentAverageQuality";
219      bestAverageWorstQualityCalculator2.BestQualityParameter.ActualName = "CurrentBestQuality";
220      bestAverageWorstQualityCalculator2.MaximizationParameter.ActualName = "Maximization";
221      bestAverageWorstQualityCalculator2.QualityParameter.ActualName = "Quality";
222      bestAverageWorstQualityCalculator2.WorstQualityParameter.ActualName = "CurrentWorstQuality";
223
224      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Best Quality", null, "CurrentBestQuality"));
225      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Average Quality", null, "CurrentAverageQuality"));
226      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Worst Quality", null, "CurrentWorstQuality"));
227      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
228      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Known Quality", null, "BestKnownQuality"));
229      dataTableValuesCollector2.DataTableParameter.ActualName = "Qualities";
230
231      qualityDifferenceCalculator2.AbsoluteDifferenceParameter.ActualName = "AbsoluteDifferenceBestKnownToBest";
232      qualityDifferenceCalculator2.FirstQualityParameter.ActualName = "BestKnownQuality";
233      qualityDifferenceCalculator2.RelativeDifferenceParameter.ActualName = "RelativeDifferenceBestKnownToBest";
234      qualityDifferenceCalculator2.SecondQualityParameter.ActualName = "BestQuality";
235
236      conditionalBranch.ConditionParameter.ActualName = "Terminate";
237      #endregion
238
239      #region Create operator graph
240      OperatorGraph.InitialOperator = variableCreator;
241      variableCreator.Successor = bestQualityMemorizer1;
242      bestQualityMemorizer1.Successor = bestQualityMemorizer2;
243      bestQualityMemorizer2.Successor = bestAverageWorstQualityCalculator1;
244      bestAverageWorstQualityCalculator1.Successor = dataTableValuesCollector1;
245      dataTableValuesCollector1.Successor = qualityDifferenceCalculator1;
246      qualityDifferenceCalculator1.Successor = resultsCollector;
247      resultsCollector.Successor = selector;
248      selector.Successor = sequentialSubScopesProcessor1;
249      sequentialSubScopesProcessor1.Operators.Add(new EmptyOperator());
250      sequentialSubScopesProcessor1.Operators.Add(childrenCreator);
251      sequentialSubScopesProcessor1.Successor = sequentialSubScopesProcessor2;
252      childrenCreator.Successor = uniformSequentialSubScopesProcessor;
253      uniformSequentialSubScopesProcessor.Operator = crossover;
254      uniformSequentialSubScopesProcessor.Successor = null;
255      crossover.Successor = stochasticBranch;
256      stochasticBranch.FirstBranch = mutator;
257      stochasticBranch.SecondBranch = null;
258      stochasticBranch.Successor = evaluator;
259      mutator.Successor = null;
260      evaluator.Successor = subScopesRemover;
261      subScopesRemover.Successor = null;
262      sequentialSubScopesProcessor2.Operators.Add(bestSelector);
263      sequentialSubScopesProcessor2.Operators.Add(new EmptyOperator());
264      sequentialSubScopesProcessor2.Successor = mergingReducer;
265      bestSelector.Successor = rightReducer;
266      rightReducer.Successor = null;
267      mergingReducer.Successor = intCounter;
268      intCounter.Successor = comparator;
269      comparator.Successor = bestQualityMemorizer3;
270      bestQualityMemorizer3.Successor = bestQualityMemorizer4;
271      bestQualityMemorizer4.Successor = bestAverageWorstQualityCalculator2;
272      bestAverageWorstQualityCalculator2.Successor = dataTableValuesCollector2;
273      dataTableValuesCollector2.Successor = qualityDifferenceCalculator2;
274      qualityDifferenceCalculator2.Successor = conditionalBranch;
275      conditionalBranch.FalseBranch = selector;
276      conditionalBranch.TrueBranch = null;
277      conditionalBranch.Successor = null;
278      #endregion
279    }
280  }
281}
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