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source: trunk/sources/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithmMainLoop.cs @ 3379

Last change on this file since 3379 was 3379, checked in by abeham, 14 years ago

Added first working version of offspring selection GA #976
Had to implement a new parameter type (better solution!?)
Updated engine files (they're still throwing exceptions upon load though).
Fixed bug in OffspringSelector
File size: 26.6 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.OffspringSelectionGeneticAlgorithm {
32  /// <summary>
33  /// An operator which represents the main loop of an offspring selection genetic algorithm.
34  /// </summary>
35  [Item("OffspringSelectionGeneticAlgorithmMainLoop", "An operator which represents the main loop of an offspring selection genetic algorithm.")]
36  [StorableClass]
37  public sealed class OffspringSelectionGeneticAlgorithmMainLoop : AlgorithmOperator {
38    #region Parameter properties
39    public ValueLookupParameter<IRandom> RandomParameter {
40      get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
41    }
42    public ValueLookupParameter<BoolValue> MaximizationParameter {
43      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
44    }
45    public ValueLookupParameter<IntValue> PopulationSizeParameter {
46      get { return (ValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
47    }
48    public SubScopesLookupParameter<DoubleValue> QualityParameter {
49      get { return (SubScopesLookupParameter<DoubleValue>)Parameters["Quality"]; }
50    }
51    public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
52      get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
53    }
54    public ValueLookupParameter<IOperator> SelectorParameter {
55      get { return (ValueLookupParameter<IOperator>)Parameters["Selector"]; }
56    }
57    public ValueLookupParameter<IOperator> CrossoverParameter {
58      get { return (ValueLookupParameter<IOperator>)Parameters["Crossover"]; }
59    }
60    public ValueLookupParameter<PercentValue> MutationProbabilityParameter {
61      get { return (ValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
62    }
63    public ValueLookupParameter<IOperator> MutatorParameter {
64      get { return (ValueLookupParameter<IOperator>)Parameters["Mutator"]; }
65    }
66    public ValueLookupParameter<IOperator> EvaluatorParameter {
67      get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
68    }
69    public ValueLookupParameter<IntValue> ElitesParameter {
70      get { return (ValueLookupParameter<IntValue>)Parameters["Elites"]; }
71    }
72    public ValueLookupParameter<IntValue> MaximumGenerationsParameter {
73      get { return (ValueLookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
74    }
75    public ValueLookupParameter<VariableCollection> ResultsParameter {
76      get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
77    }
78    public ValueLookupParameter<IOperator> VisualizerParameter {
79      get { return (ValueLookupParameter<IOperator>)Parameters["Visualizer"]; }
80    }
81    public LookupParameter<IItem> VisualizationParameter {
82      get { return (LookupParameter<IItem>)Parameters["Visualization"]; }
83    }
84    public ValueLookupParameter<DoubleValue> SuccessRatioParameter {
85      get { return (ValueLookupParameter<DoubleValue>)Parameters["SuccessRatio"]; }
86    }
87    public ValueLookupParameter<DoubleValue> ComparisonFactorLowerBoundParameter {
88      get { return (ValueLookupParameter<DoubleValue>)Parameters["ComparisonFactorLowerBound"]; }
89    }
90    public ValueLookupParameter<DoubleValue> ComparisonFactorUpperBoundParameter {
91      get { return (ValueLookupParameter<DoubleValue>)Parameters["ComparisonFactorUpperBound"]; }
92    }
93    public ValueLookupParameter<IOperator> ComparisonFactorModifierParameter {
94      get { return (ValueLookupParameter<IOperator>)Parameters["ComparisonFactorModifier"]; }
95    }
96    public ValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
97      get { return (ValueLookupParameter<DoubleValue>)Parameters["MaximumSelectionPressure"]; }
98    }
99    public ValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
100      get { return (ValueLookupParameter<BoolValue>)Parameters["OffspringSelectionBeforeMutation"]; }
101    }
102    #endregion
103
104    [StorableConstructor]
105    private OffspringSelectionGeneticAlgorithmMainLoop(bool deserializing) : base() { }
106    public OffspringSelectionGeneticAlgorithmMainLoop()
107      : base() {
108      Initialize();
109    }
110
111    private void Initialize() {
112      #region Create parameters
113      Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
114      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
115      Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population."));
116      Parameters.Add(new SubScopesLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
117      Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
118      Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
119      Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
120      Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
121      Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
122      Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions."));
123      Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
124      Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
125      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
126      Parameters.Add(new ValueLookupParameter<IOperator>("Visualizer", "The operator used to visualize solutions."));
127      Parameters.Add(new LookupParameter<IItem>("Visualization", "The item which represents the visualization of solutions."));
128      Parameters.Add(new ValueLookupParameter<DoubleValue>("SuccessRatio", "The ratio of successful to total children that should be achieved."));
129      Parameters.Add(new ValueLookupParameter<DoubleValue>("ComparisonFactorLowerBound", "The lower bound of the comparison factor (start)."));
130      Parameters.Add(new ValueLookupParameter<DoubleValue>("ComparisonFactorUpperBound", "The upper bound of the comparison factor (end)."));
131      Parameters.Add(new ValueLookupParameter<IOperator>("ComparisonFactorModifier", "The operator used to modify the comparison factor."));
132      Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumSelectionPressure", "The maximum selection pressure that terminates the algorithm."));
133      Parameters.Add(new ValueLookupParameter<BoolValue>("OffspringSelectionBeforeMutation", "True if the offspring selection step should be applied before mutation, false if it should be applied after mutation."));
134      #endregion
135
136      #region Create operators
137      VariableCreator variableCreator = new VariableCreator();
138      Assigner variableAssigner = new Assigner();
139      BestQualityMemorizer bestQualityMemorizer1 = new BestQualityMemorizer();
140      BestQualityMemorizer bestQualityMemorizer2 = new BestQualityMemorizer();
141      BestAverageWorstQualityCalculator bestAverageWorstQualityCalculator1 = new BestAverageWorstQualityCalculator();
142      DataTableValuesCollector dataTableValuesCollector1 = new DataTableValuesCollector();
143      DataTableValuesCollector selPressDataTableValuesCollector1 = new DataTableValuesCollector();
144      QualityDifferenceCalculator qualityDifferenceCalculator1 = new QualityDifferenceCalculator();
145      Placeholder visualizer1 = new Placeholder();
146      ResultsCollector resultsCollector = new ResultsCollector();
147      Placeholder selector = new Placeholder();
148      SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
149      ChildrenCreator childrenCreator = new ChildrenCreator();
150      UniformSubScopesProcessor uniformSubScopesProcessor = new UniformSubScopesProcessor();
151      Placeholder crossover = new Placeholder();
152      ConditionalBranch osBeforeMutationBranch = new ConditionalBranch();
153      Placeholder evaluator1 = new Placeholder();
154      ParentsQualityComparator qualityComparer1 = new ParentsQualityComparator();
155      StochasticBranch mutationBranch1 = new StochasticBranch();
156      Placeholder mutator1 = new Placeholder();
157      Placeholder evaluator2 = new Placeholder();
158      StochasticBranch mutationBranch2 = new StochasticBranch();
159      Placeholder mutator2 = new Placeholder();
160      Placeholder evaluator3 = new Placeholder();
161      ParentsQualityComparator qualityComparer2 = new ParentsQualityComparator();
162      SubScopesRemover subScopesRemover = new SubScopesRemover();
163      OffspringSelector offspringSelector = new OffspringSelector();
164      SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
165      BestSelector bestSelector = new BestSelector();
166      RightReducer rightReducer = new RightReducer();
167      MergingReducer mergingReducer = new MergingReducer();
168      IntCounter intCounter = new IntCounter();
169      Placeholder comparisonFactorModifier = new Placeholder();
170      Comparator comparator1 = new Comparator();
171      Comparator comparator2 = new Comparator();
172      BestQualityMemorizer bestQualityMemorizer3 = new BestQualityMemorizer();
173      BestQualityMemorizer bestQualityMemorizer4 = new BestQualityMemorizer();
174      BestAverageWorstQualityCalculator bestAverageWorstQualityCalculator2 = new BestAverageWorstQualityCalculator();
175      DataTableValuesCollector dataTableValuesCollector2 = new DataTableValuesCollector();
176      DataTableValuesCollector selPressDataTableValuesCollector2 = new DataTableValuesCollector();
177      QualityDifferenceCalculator qualityDifferenceCalculator2 = new QualityDifferenceCalculator();
178      Placeholder visualizer2 = new Placeholder();
179      ConditionalBranch conditionalBranch1 = new ConditionalBranch();
180      ConditionalBranch conditionalBranch2 = new ConditionalBranch();
181
182      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
183      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("SelectionPressure", new DoubleValue(0)));
184      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("CurrentSuccessRatio", new DoubleValue(0)));
185
186      variableAssigner.LeftSideParameter.ActualName = "ComparisonFactor";
187      variableAssigner.RightSideParameter.ActualName = ComparisonFactorLowerBoundParameter.Name;
188
189      bestQualityMemorizer1.BestQualityParameter.ActualName = "BestQuality";
190      bestQualityMemorizer1.MaximizationParameter.ActualName = MaximizationParameter.Name;
191      bestQualityMemorizer1.QualityParameter.ActualName = QualityParameter.Name;
192
193      bestQualityMemorizer2.BestQualityParameter.ActualName = BestKnownQualityParameter.Name;
194      bestQualityMemorizer2.MaximizationParameter.ActualName = MaximizationParameter.Name;
195      bestQualityMemorizer2.QualityParameter.ActualName = QualityParameter.Name;
196
197      bestAverageWorstQualityCalculator1.AverageQualityParameter.ActualName = "CurrentAverageQuality";
198      bestAverageWorstQualityCalculator1.BestQualityParameter.ActualName = "CurrentBestQuality";
199      bestAverageWorstQualityCalculator1.MaximizationParameter.ActualName = MaximizationParameter.Name;
200      bestAverageWorstQualityCalculator1.QualityParameter.ActualName = QualityParameter.Name;
201      bestAverageWorstQualityCalculator1.WorstQualityParameter.ActualName = "CurrentWorstQuality";
202
203      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Best Quality", null, "CurrentBestQuality"));
204      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Average Quality", null, "CurrentAverageQuality"));
205      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Worst Quality", null, "CurrentWorstQuality"));
206      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
207      dataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Known Quality", null, BestKnownQualityParameter.Name));
208      dataTableValuesCollector1.DataTableParameter.ActualName = "Qualities";
209
210      selPressDataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Selection Pressure", null, "SelectionPressure"));
211      selPressDataTableValuesCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Maximum Selection Pressure", null, MaximumSelectionPressureParameter.Name));
212      selPressDataTableValuesCollector1.DataTableParameter.ActualName = "SelectionPressures";
213
214      qualityDifferenceCalculator1.AbsoluteDifferenceParameter.ActualName = "AbsoluteDifferenceBestKnownToBest";
215      qualityDifferenceCalculator1.FirstQualityParameter.ActualName = BestKnownQualityParameter.Name;
216      qualityDifferenceCalculator1.RelativeDifferenceParameter.ActualName = "RelativeDifferenceBestKnownToBest";
217      qualityDifferenceCalculator1.SecondQualityParameter.ActualName = "BestQuality";
218
219      visualizer1.Name = "Visualizer (placeholder)";
220      visualizer1.OperatorParameter.ActualName = VisualizerParameter.Name;
221
222      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
223      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Best Quality", null, "CurrentBestQuality"));
224      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Average Quality", null, "CurrentAverageQuality"));
225      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Worst Quality", null, "CurrentWorstQuality"));
226      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
227      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Known Quality", null, BestKnownQualityParameter.Name));
228      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Absolute Difference of Best Known Quality to Best Quality", null, "AbsoluteDifferenceBestKnownToBest"));
229      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Relative Difference of Best Known Quality to Best Quality", null, "RelativeDifferenceBestKnownToBest"));
230      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Selection Pressure", null, "SelectionPressure"));
231      resultsCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Success Ratio", null, "CurrentSuccessRatio"));
232      resultsCollector.CollectedValues.Add(new LookupParameter<IItem>("Solution Visualization", null, VisualizationParameter.Name));
233      resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>("Qualities"));
234      resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>("SelectionPressures"));
235      resultsCollector.ResultsParameter.ActualName = ResultsParameter.Name;
236
237      selector.Name = "Selector (placeholder)";
238      selector.OperatorParameter.ActualName = SelectorParameter.Name;
239
240      childrenCreator.ParentsPerChild = new IntValue(2);
241
242      crossover.Name = "Crossover (placeholder)";
243      crossover.OperatorParameter.ActualName = CrossoverParameter.Name;
244
245      osBeforeMutationBranch.Name = "Apply OS before mutation?";
246      osBeforeMutationBranch.ConditionParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
247
248      evaluator1.Name = "Evaluator (placeholder)";
249      evaluator1.OperatorParameter.ActualName = EvaluatorParameter.Name;
250
251      qualityComparer1.ComparisonFactorParameter.ActualName = "ComparisonFactor";
252      qualityComparer1.LeftSideParameter.ActualName = QualityParameter.Name;
253      qualityComparer1.MaximizationParameter.ActualName = MaximizationParameter.Name;
254      qualityComparer1.RightSideParameter.ActualName = QualityParameter.Name;
255      qualityComparer1.ResultParameter.ActualName = "SuccessfulOffspring";
256
257      mutationBranch1.ProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
258      mutationBranch1.RandomParameter.ActualName = RandomParameter.Name;
259
260      mutator1.Name = "Mutator (placeholder)";
261      mutator1.OperatorParameter.ActualName = MutatorParameter.Name;
262
263      evaluator2.Name = "Evaluator (placeholder)";
264      evaluator2.OperatorParameter.ActualName = EvaluatorParameter.Name;
265
266      mutationBranch2.ProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
267      mutationBranch2.RandomParameter.ActualName = RandomParameter.Name;
268
269      mutator2.Name = "Mutator (placeholder)";
270      mutator2.OperatorParameter.ActualName = MutatorParameter.Name;
271
272      evaluator3.Name = "Evaluator (placeholder)";
273      evaluator3.OperatorParameter.ActualName = EvaluatorParameter.Name;
274
275      qualityComparer2.ComparisonFactorParameter.ActualName = "ComparisonFactor";
276      qualityComparer2.LeftSideParameter.ActualName = QualityParameter.Name;
277      qualityComparer2.MaximizationParameter.ActualName = MaximizationParameter.Name;
278      qualityComparer2.RightSideParameter.ActualName = QualityParameter.Name;
279      qualityComparer2.ResultParameter.ActualName = "SuccessfulOffspring";
280
281      subScopesRemover.RemoveAllSubScopes = true;
282
283      offspringSelector.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
284      offspringSelector.LuckyLosersParameter.ActualName = "OSLuckyLosers";
285      offspringSelector.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
286      offspringSelector.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
287      offspringSelector.SelectionPressureParameter.ActualName = "SelectionPressure";
288      offspringSelector.SuccessfulOffspringParameter.ActualName = "SuccessfulOffspring";
289      offspringSelector.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
290      offspringSelector.WinnersParameter.ActualName = "OSWinners";
291
292      bestSelector.CopySelected = new BoolValue(false);
293      bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
294      bestSelector.NumberOfSelectedSubScopesParameter.ActualName = ElitesParameter.Name;
295      bestSelector.QualityParameter.ActualName = QualityParameter.Name;
296
297      intCounter.Increment = new IntValue(1);
298      intCounter.ValueParameter.ActualName = "Generations";
299
300      comparisonFactorModifier.Name = "Modify ComparisonFactor (placeholder)";
301      comparisonFactorModifier.OperatorParameter.ActualName = ComparisonFactorModifierParameter.Name;
302
303      comparator1.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
304      comparator1.LeftSideParameter.ActualName = "Generations";
305      comparator1.ResultParameter.ActualName = "TerminateMaximumGenerations";
306      comparator1.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
307
308      comparator2.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
309      comparator2.LeftSideParameter.ActualName = "SelectionPressure";
310      comparator2.ResultParameter.ActualName = "TerminateSelectionPressure";
311      comparator2.RightSideParameter.ActualName = MaximumSelectionPressureParameter.Name;
312
313      bestQualityMemorizer3.BestQualityParameter.ActualName = "BestQuality";
314      bestQualityMemorizer3.MaximizationParameter.ActualName = MaximizationParameter.Name;
315      bestQualityMemorizer3.QualityParameter.ActualName = QualityParameter.Name;
316
317      bestQualityMemorizer4.BestQualityParameter.ActualName = BestKnownQualityParameter.Name;
318      bestQualityMemorizer4.MaximizationParameter.ActualName = MaximizationParameter.Name;
319      bestQualityMemorizer4.QualityParameter.ActualName = QualityParameter.Name;
320
321      bestAverageWorstQualityCalculator2.AverageQualityParameter.ActualName = "CurrentAverageQuality";
322      bestAverageWorstQualityCalculator2.BestQualityParameter.ActualName = "CurrentBestQuality";
323      bestAverageWorstQualityCalculator2.MaximizationParameter.ActualName = MaximizationParameter.Name;
324      bestAverageWorstQualityCalculator2.QualityParameter.ActualName = QualityParameter.Name;
325      bestAverageWorstQualityCalculator2.WorstQualityParameter.ActualName = "CurrentWorstQuality";
326
327      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Best Quality", null, "CurrentBestQuality"));
328      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Average Quality", null, "CurrentAverageQuality"));
329      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Worst Quality", null, "CurrentWorstQuality"));
330      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
331      dataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Known Quality", null, BestKnownQualityParameter.Name));
332      dataTableValuesCollector2.DataTableParameter.ActualName = "Qualities";
333
334      selPressDataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Selection Pressure", null, "SelectionPressure"));
335      selPressDataTableValuesCollector2.CollectedValues.Add(new LookupParameter<DoubleValue>("Maximum Selection Pressure", null, MaximumSelectionPressureParameter.Name));
336      selPressDataTableValuesCollector2.DataTableParameter.ActualName = "SelectionPressures";
337
338      qualityDifferenceCalculator2.AbsoluteDifferenceParameter.ActualName = "AbsoluteDifferenceBestKnownToBest";
339      qualityDifferenceCalculator2.FirstQualityParameter.ActualName = BestKnownQualityParameter.Name;
340      qualityDifferenceCalculator2.RelativeDifferenceParameter.ActualName = "RelativeDifferenceBestKnownToBest";
341      qualityDifferenceCalculator2.SecondQualityParameter.ActualName = "BestQuality";
342
343      visualizer2.Name = "Visualizer (placeholder)";
344      visualizer2.OperatorParameter.ActualName = VisualizerParameter.Name;
345
346      conditionalBranch1.Name = "MaximumSelectionPressure reached?";
347      conditionalBranch1.ConditionParameter.ActualName = "TerminateSelectionPressure";
348
349      conditionalBranch2.Name = "MaximumGenerations reached?";
350      conditionalBranch2.ConditionParameter.ActualName = "TerminateMaximumGenerations";
351      #endregion
352
353      #region Create operator graph
354      OperatorGraph.InitialOperator = variableCreator;
355      variableCreator.Successor = variableAssigner;
356      variableAssigner.Successor = bestQualityMemorizer1;
357      bestQualityMemorizer1.Successor = bestQualityMemorizer2;
358      bestQualityMemorizer2.Successor = bestAverageWorstQualityCalculator1;
359      bestAverageWorstQualityCalculator1.Successor = dataTableValuesCollector1;
360      dataTableValuesCollector1.Successor = selPressDataTableValuesCollector1;
361      selPressDataTableValuesCollector1.Successor = qualityDifferenceCalculator1;
362      qualityDifferenceCalculator1.Successor = visualizer1;
363      visualizer1.Successor = resultsCollector;
364      resultsCollector.Successor = selector;
365      selector.Successor = subScopesProcessor1;
366      subScopesProcessor1.Operators.Add(new EmptyOperator());
367      subScopesProcessor1.Operators.Add(childrenCreator);
368      subScopesProcessor1.Successor = offspringSelector;
369      childrenCreator.Successor = uniformSubScopesProcessor;
370      uniformSubScopesProcessor.Operator = crossover;
371      uniformSubScopesProcessor.Successor = null;
372      crossover.Successor = osBeforeMutationBranch;
373      osBeforeMutationBranch.TrueBranch = evaluator1;
374      osBeforeMutationBranch.FalseBranch = mutationBranch2;
375      osBeforeMutationBranch.Successor = subScopesRemover;
376      evaluator1.Successor = qualityComparer1;
377      qualityComparer1.Successor = mutationBranch1;
378      mutationBranch1.FirstBranch = mutator1;
379      mutationBranch1.SecondBranch = null;
380      mutationBranch1.Successor = null;
381      mutator1.Successor = evaluator2;
382      evaluator2.Successor = null;
383      mutationBranch2.FirstBranch = mutator2;
384      mutationBranch2.SecondBranch = null;
385      mutationBranch2.Successor = evaluator3;
386      mutator2.Successor = null;
387      evaluator3.Successor = qualityComparer2;
388      subScopesRemover.Successor = null;
389      offspringSelector.OffspringCreator = selector;
390      offspringSelector.Successor = subScopesProcessor2;
391      subScopesProcessor2.Operators.Add(bestSelector);
392      subScopesProcessor2.Operators.Add(new EmptyOperator());
393      subScopesProcessor2.Successor = mergingReducer;
394      bestSelector.Successor = rightReducer;
395      rightReducer.Successor = null;
396      mergingReducer.Successor = intCounter;
397      intCounter.Successor = comparisonFactorModifier;
398      comparisonFactorModifier.Successor = comparator1;
399      comparator1.Successor = comparator2;
400      comparator2.Successor = bestQualityMemorizer3;
401      bestQualityMemorizer3.Successor = bestQualityMemorizer4;
402      bestQualityMemorizer4.Successor = bestAverageWorstQualityCalculator2;
403      bestAverageWorstQualityCalculator2.Successor = dataTableValuesCollector2;
404      dataTableValuesCollector2.Successor = selPressDataTableValuesCollector2;
405      selPressDataTableValuesCollector2.Successor = qualityDifferenceCalculator2;
406      qualityDifferenceCalculator2.Successor = visualizer2;
407      visualizer2.Successor = conditionalBranch1;
408      conditionalBranch1.FalseBranch = conditionalBranch2;
409      conditionalBranch1.TrueBranch = null;
410      conditionalBranch1.Successor = null;
411      conditionalBranch2.FalseBranch = selector;
412      conditionalBranch2.TrueBranch = null;
413      conditionalBranch2.Successor = null;
414      #endregion
415    }
416  }
417}
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