public AlpsGeneticAlgorithmMainLoop()
: base()
{
Parameters.Add(new ValueLookupParameter <IRandom>("GlobalRandom", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter <IRandom>("LocalRandom", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter <IOperator>("Evaluator", "The operator used to evaluate solutions. This operator is executed in parallel, if an engine is used which supports parallelization."));
Parameters.Add(new ValueLookupParameter <IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ScopeTreeLookupParameter <DoubleValue>("Quality", "The value which represents the quality of a solution."));
Parameters.Add(new ValueLookupParameter <BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new ValueLookupParameter <IOperator>("Analyzer", "The operator used to analyze all individuals from all layers combined."));
Parameters.Add(new ValueLookupParameter <IOperator>("LayerAnalyzer", "The operator used to analyze each layer."));
Parameters.Add(new ValueLookupParameter <IntValue>("NumberOfLayers", "The number of layers."));
Parameters.Add(new ValueLookupParameter <IntValue>("PopulationSize", "The size of the population of solutions in each layer."));
Parameters.Add(new LookupParameter <IntValue>("CurrentPopulationSize", "The current size of the population."));
Parameters.Add(new ValueLookupParameter <IOperator>("Selector", "The operator used to select solutions for reproduction."));
Parameters.Add(new ValueLookupParameter <IOperator>("Crossover", "The operator used to cross solutions."));
Parameters.Add(new ValueLookupParameter <IOperator>("Mutator", "The operator used to mutate solutions."));
Parameters.Add(new ValueLookupParameter <PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
Parameters.Add(new ValueLookupParameter <IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
Parameters.Add(new ValueLookupParameter <BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)"));
Parameters.Add(new ValueLookupParameter <BoolValue>("PlusSelection", "Include the parents in the selection of the invividuals for the next generation."));
Parameters.Add(new ScopeTreeLookupParameter <DoubleValue>("Age", "The age of individuals."));
Parameters.Add(new ValueLookupParameter <IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers."));
Parameters.Add(new ValueLookupParameter <DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent."));
Parameters.Add(new ValueLookupParameter <IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer."));
Parameters.Add(new ValueLookupParameter <IntValue>("MatingPoolRange", "The range of sub - populations used for creating a mating pool. (1 = current + previous sub-population)"));
Parameters.Add(new ValueLookupParameter <BoolValue>("ReduceToPopulationSize", "Reduce the CurrentPopulationSize after elder migration to PopulationSize"));
Parameters.Add(new ValueLookupParameter <IOperator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop"));
var variableCreator = new VariableCreator()
{
Name = "Initialize"
};
var initLayerAnalyzerProcessor = new SubScopesProcessor();
var layerVariableCreator = new VariableCreator()
{
Name = "Initialize Layer"
};
var initLayerAnalyzerPlaceholder = new Placeholder()
{
Name = "LayerAnalyzer (Placeholder)"
};
var initAnalyzerPlaceholder = new Placeholder()
{
Name = "Analyzer (Placeholder)"
};
var resultsCollector = new ResultsCollector();
var matingPoolCreator = new MatingPoolCreator()
{
Name = "Create Mating Pools"
};
var matingPoolProcessor = new UniformSubScopesProcessor()
{
Name = "Process Mating Pools"
};
var initializeLayer = new Assigner()
{
Name = "Reset LayerEvaluatedSolutions"
};
var mainOperator = new AlpsGeneticAlgorithmMainOperator();
var generationsIcrementor = new IntCounter()
{
Name = "Increment Generations"
};
var evaluatedSolutionsReducer = new DataReducer()
{
Name = "Increment EvaluatedSolutions"
};
var eldersEmigrator = CreateEldersEmigrator();
var layerOpener = CreateLayerOpener();
var layerReseeder = CreateReseeder();
var layerAnalyzerProcessor = new UniformSubScopesProcessor();
var layerAnalyzerPlaceholder = new Placeholder()
{
Name = "LayerAnalyzer (Placeholder)"
};
var analyzerPlaceholder = new Placeholder()
{
Name = "Analyzer (Placeholder)"
};
var termination = new TerminationOperator();
OperatorGraph.InitialOperator = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Generations", new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("OpenLayers", new IntValue(1)));
variableCreator.Successor = initLayerAnalyzerProcessor;
initLayerAnalyzerProcessor.Operators.Add(layerVariableCreator);
initLayerAnalyzerProcessor.Successor = initAnalyzerPlaceholder;
layerVariableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Layer", new IntValue(0)));
layerVariableCreator.CollectedValues.Add(new ValueParameter <ResultCollection>("LayerResults"));
layerVariableCreator.Successor = initLayerAnalyzerPlaceholder;
initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
initLayerAnalyzerPlaceholder.Successor = null;
initAnalyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
initAnalyzerPlaceholder.Successor = resultsCollector;
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>("Generations"));
resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter <ResultCollection>("LayerResults", "Result set for each Layer", "LayerResults"));
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>("OpenLayers"));
resultsCollector.CopyValue = new BoolValue(false);
resultsCollector.Successor = matingPoolCreator;
matingPoolCreator.MatingPoolRangeParameter.Value = null;
matingPoolCreator.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;
matingPoolCreator.Successor = matingPoolProcessor;
matingPoolProcessor.Parallel.Value = true;
matingPoolProcessor.Operator = initializeLayer;
matingPoolProcessor.Successor = generationsIcrementor;
initializeLayer.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
initializeLayer.RightSideParameter.Value = new IntValue(0);
initializeLayer.Successor = mainOperator;
mainOperator.RandomParameter.ActualName = LocalRandomParameter.Name;
mainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
mainOperator.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
mainOperator.QualityParameter.ActualName = QualityParameter.Name;
mainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
mainOperator.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
mainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
mainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
mainOperator.MutatorParameter.ActualName = MutatorParameter.ActualName;
mainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
mainOperator.ElitesParameter.ActualName = ElitesParameter.Name;
mainOperator.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
mainOperator.PlusSelectionParameter.ActualName = PlusSelectionParameter.Name;
mainOperator.AgeParameter.ActualName = AgeParameter.Name;
mainOperator.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
mainOperator.AgeIncrementParameter.Value = new DoubleValue(1.0);
mainOperator.Successor = null;
generationsIcrementor.ValueParameter.ActualName = "Generations";
generationsIcrementor.Increment = new IntValue(1);
generationsIcrementor.Successor = evaluatedSolutionsReducer;
evaluatedSolutionsReducer.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
evaluatedSolutionsReducer.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
evaluatedSolutionsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
evaluatedSolutionsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
evaluatedSolutionsReducer.Successor = eldersEmigrator;
eldersEmigrator.Successor = layerOpener;
layerOpener.Successor = layerReseeder;
layerReseeder.Successor = layerAnalyzerProcessor;
layerAnalyzerProcessor.Operator = layerAnalyzerPlaceholder;
layerAnalyzerProcessor.Successor = analyzerPlaceholder;
layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
analyzerPlaceholder.Successor = termination;
termination.TerminatorParameter.ActualName = TerminatorParameter.Name;
termination.ContinueBranch = matingPoolCreator;
}
public RandomSearchAlgorithm()
: base()
{
#region Add parameters
Parameters.Add(new FixedValueParameter <IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new FixedValueParameter <BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new FixedValueParameter <MultiAnalyzer>("Analyzer", "The operator used to analyze the solutions each iteration.", new MultiAnalyzer()));
Parameters.Add(new FixedValueParameter <IntValue>("MaximumEvaluatedSolutions", "The number of random solutions the algorithm should evaluate.", new IntValue(1000)));
Parameters.Add(new FixedValueParameter <IntValue>("BatchSize", "The number of random solutions that are evaluated (in parallel) per iteration.", new IntValue(100)));
Parameters.Add(new FixedValueParameter <IntValue>("MaximumIterations", "The number of iterations that the algorithm will run.", new IntValue(10))
{
Hidden = true
});
Parameters.Add(new FixedValueParameter <MultiTerminator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop.", new MultiTerminator())
{
Hidden = true
});
#endregion
#region Create operators
var randomCreator = new RandomCreator();
var variableCreator = new VariableCreator()
{
Name = "Initialize Variables"
};
var resultsCollector = new ResultsCollector();
var solutionCreator = new SolutionsCreator()
{
Name = "Create Solutions"
};
var analyzerPlaceholder = new Placeholder()
{
Name = "Analyzer (Placeholder)"
};
var evaluationsCounter = new IntCounter()
{
Name = "Increment EvaluatedSolutions"
};
var subScopesRemover = new SubScopesRemover();
var iterationsCounter = new IntCounter()
{
Name = "Increment Iterations"
};
var terminationOperator = new TerminationOperator();
#endregion
#region Create and parameterize operator graph
OperatorGraph.InitialOperator = randomCreator;
randomCreator.SeedParameter.Value = null;
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.Successor = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Iterations", new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("EvaluatedSolutions", new IntValue(0)));
variableCreator.Successor = resultsCollector;
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>("Iterations", "The current iteration number."));
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>("EvaluatedSolutions", "The current number of evaluated solutions."));
resultsCollector.Successor = solutionCreator;
solutionCreator.NumberOfSolutionsParameter.ActualName = BatchSizeParameter.Name;
solutionCreator.ParallelParameter.Value.Value = true;
solutionCreator.Successor = evaluationsCounter;
evaluationsCounter.ValueParameter.ActualName = "EvaluatedSolutions";
evaluationsCounter.Increment = null;
evaluationsCounter.IncrementParameter.ActualName = BatchSizeParameter.Name;
evaluationsCounter.Successor = analyzerPlaceholder;
analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
analyzerPlaceholder.Successor = subScopesRemover;
subScopesRemover.RemoveAllSubScopes = true;
subScopesRemover.Successor = iterationsCounter;
iterationsCounter.ValueParameter.ActualName = "Iterations";
iterationsCounter.Increment = new IntValue(1);
iterationsCounter.Successor = terminationOperator;
terminationOperator.TerminatorParameter.ActualName = TerminatorParameter.Name;
terminationOperator.ContinueBranch = solutionCreator;
#endregion
#region Create analyzers
singleObjectiveQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
#endregion
#region Create terminators
evaluationsTerminator = new ComparisonTerminator <IntValue>("EvaluatedSolutions", ComparisonType.Less, MaximumEvaluatedSolutionsParameter)
{
Name = "Evaluated solutions."
};
qualityTerminator = new SingleObjectiveQualityTerminator()
{
Name = "Quality"
};
executionTimeTerminator = new ExecutionTimeTerminator(this, new TimeSpanValue(TimeSpan.FromMinutes(5)));
#endregion
#region Parameterize
UpdateAnalyzers();
ParameterizeAnalyzers();
UpdateTerminators();
#endregion
Initialize();
}
private void Initialize()
{
#region Create parameters
Parameters.Add(new ValueLookupParameter <IRandom>("GlobalRandom", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter <IRandom>("LocalRandom", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter <BoolArray>("Maximization", "True if an objective should be maximized, or false if it should be minimized."));
Parameters.Add(new ScopeTreeLookupParameter <DoubleArray>("Qualities", "The vector of quality values."));
Parameters.Add(new ValueLookupParameter <IntValue>("NumberOfLayers", "The number of layers."));
Parameters.Add(new ValueLookupParameter <IntValue>("PopulationSize", "The population size."));
Parameters.Add(new LookupParameter <IntValue>("CurrentPopulationSize", "The current size of the population."));
Parameters.Add(new ValueLookupParameter <IOperator>("Selector", "The operator used to select solutions for reproduction."));
Parameters.Add(new ValueLookupParameter <PercentValue>("CrossoverProbability", "The probability that the crossover operator is applied on a solution."));
Parameters.Add(new ValueLookupParameter <IOperator>("Crossover", "The operator used to cross solutions."));
Parameters.Add(new ValueLookupParameter <PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
Parameters.Add(new ValueLookupParameter <IOperator>("Mutator", "The operator used to mutate solutions."));
Parameters.Add(new ScopeTreeLookupParameter <DoubleValue>("Age", "The age of individuals."));
Parameters.Add(new ValueLookupParameter <IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers."));
Parameters.Add(new ValueLookupParameter <DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent."));
Parameters.Add(new ValueLookupParameter <IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer."));
Parameters.Add(new ValueLookupParameter <IntValue>("MatingPoolRange", "The range of sub - populations used for creating a mating pool. (1 = current + previous sub-population)"));
Parameters.Add(new ValueLookupParameter <BoolValue>("ReduceToPopulationSize", "Reduce the CurrentPopulationSize after elder migration to PopulationSize"));
Parameters.Add(new ValueLookupParameter <IOperator>("Evaluator", "The operator used to evaluate solutions. This operator is executed in parallel, if an engine is used which supports parallelization."));
Parameters.Add(new ValueLookupParameter <VariableCollection>("Results", "The variable collection where results should be stored."));
Parameters.Add(new ValueLookupParameter <IOperator>("Analyzer", "The operator used to analyze each generation."));
Parameters.Add(new ValueLookupParameter <IOperator>("LayerAnalyzer", "The operator used to analyze each layer."));
Parameters.Add(new ValueLookupParameter <IOperator>("FinalAnalyzer", "The operator used to finally analyze the solution (after termination of the algorithm)."));
Parameters.Add(new LookupParameter <IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ValueLookupParameter <BoolValue>("DominateOnEqualQualities", "Flag which determines whether solutions with equal quality values should be treated as dominated."));
Parameters.Add(new ValueLookupParameter <IOperator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop"));
Parameters.Add(new FixedValueParameter <IntValue>("Zero", "Zero Value.", new IntValue(0)));
Parameters.Add(new FixedValueParameter <IntValue>("One", "1 as a Value.", new IntValue(1)));
#endregion
#region Create operators and operator graph
var variableCreator = new VariableCreator {
Name = "Initialize"
};
var resultsCollector1 = new ResultsCollector();
var initLayerAnalyzerProcessor = new SubScopesProcessor();
var layerVariableCreator = new VariableCreator {
Name = "Initialize Layer"
};
var initLayerAnalyzerPlaceholder = new Placeholder {
Name = "LayerAnalyzer (Placeholder)"
};
var initAnalyzerPlaceholder = new Placeholder {
Name = "Analyzer (Placeholder)"
};
var initFinalAnalyzerPlaceholder = new Placeholder {
Name = "FinalAnalyzer (Placeholder)"
};
var matingPoolCreator = new MatingPoolCreator {
Name = "Create Mating Pools"
};
var matingPoolProcessor = new UniformSubScopesProcessor {
Name = "Process Mating Pools"
};
var initializeLayer = new Assigner {
Name = "Reset LayerEvaluatedSolutions"
};
var mainOperator = new AlpsNsga2MainOperator();
var generationsIncrementer = new IntCounter {
Name = "Increment Generations"
};
var evaluatedSolutionsReducer = new DataReducer {
Name = "Increment EvaluatedSolutions"
};
var eldersEmigrator = CreateEldersEmigrator();
var layerOpener = CreateLayerOpener();
var layerReseeder = CreateReseeder();
var currentPopulationSizeComparator = new Comparator {
Name = "Isn't CurrentPopulationSize 0?"
};
var currentPopulationSizeIsNotZeroBranch = new ConditionalBranch {
Name = "CurrentPopulationSize != Zero"
};
var layerAnalyzerProcessor = new UniformSubScopesProcessor();
var layerAnalyzerPlaceholder = new Placeholder {
Name = "LayerAnalyzer (Placeholder)"
};
var analyzerPlaceholder = new Placeholder {
Name = "Analyzer (Placeholder)"
};
var termination = new TerminationOperator();
var rankAndCrowdingSorter = new RankAndCrowdingSorter();
var mergingReducer = new MergingReducer();
var leftSelector = new LeftSelector();
var rightReducer = new RightReducer();
OperatorGraph.InitialOperator = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Generations", new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("OpenLayers", new IntValue(1)));
variableCreator.Successor = initLayerAnalyzerProcessor;
initLayerAnalyzerProcessor.Operators.Add(layerVariableCreator);
initLayerAnalyzerProcessor.Successor = initAnalyzerPlaceholder;
layerVariableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Layer", new IntValue(0)));
layerVariableCreator.CollectedValues.Add(new ValueParameter <ResultCollection>("LayerResults"));
layerVariableCreator.Successor = initLayerAnalyzerPlaceholder;
initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
initLayerAnalyzerPlaceholder.Successor = null;
initAnalyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
initAnalyzerPlaceholder.Successor = resultsCollector1;
resultsCollector1.CollectedValues.Add(new LookupParameter <IntValue>("Generations"));
resultsCollector1.CollectedValues.Add(new ScopeTreeLookupParameter <ResultCollection>("LayerResults", "Result set for each Layer", "LayerResults"));
resultsCollector1.CollectedValues.Add(new LookupParameter <IntValue>("OpenLayers"));
resultsCollector1.CopyValue = new BoolValue(false);
resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
resultsCollector1.Successor = matingPoolCreator;
matingPoolCreator.MatingPoolRangeParameter.Value = null;
matingPoolCreator.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;
matingPoolCreator.Successor = matingPoolProcessor;
matingPoolProcessor.Parallel.Value = true;
matingPoolProcessor.Operator = initializeLayer;
matingPoolProcessor.Successor = generationsIncrementer;
initializeLayer.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
initializeLayer.RightSideParameter.Value = new IntValue(0);
initializeLayer.Successor = mainOperator;
mainOperator.RandomParameter.ActualName = LocalRandomParameter.Name;
mainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
mainOperator.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
mainOperator.QualityParameter.ActualName = QualitiesParameter.Name;
mainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
mainOperator.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
mainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
mainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
mainOperator.CrossoverProbabilityParameter.ActualName = CrossoverProbabilityParameter.Name;
mainOperator.MutatorParameter.ActualName = MutatorParameter.ActualName;
mainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
mainOperator.AgeParameter.ActualName = AgeParameter.Name;
mainOperator.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
mainOperator.AgeIncrementParameter.Value = new DoubleValue(1.0);
mainOperator.Successor = null;
generationsIncrementer.ValueParameter.ActualName = "Generations";
generationsIncrementer.Increment = new IntValue(1);
generationsIncrementer.Successor = evaluatedSolutionsReducer;
evaluatedSolutionsReducer.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
evaluatedSolutionsReducer.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
evaluatedSolutionsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
evaluatedSolutionsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
evaluatedSolutionsReducer.Successor = eldersEmigrator;
eldersEmigrator.Successor = layerOpener;
layerOpener.Successor = layerReseeder;
layerReseeder.Successor = layerAnalyzerProcessor;
// Layer analyzer is only performed if individuals count is not 0
layerAnalyzerProcessor.Operator = currentPopulationSizeComparator;
layerAnalyzerProcessor.Successor = analyzerPlaceholder;
currentPopulationSizeComparator.LeftSideParameter.ActualName = CurrentPopulationSizeParameter.Name;
currentPopulationSizeComparator.RightSideParameter.ActualName = ZeroParameter.Name;
currentPopulationSizeComparator.ResultParameter.ActualName = "CurrentPopulationSizeIsNotZero";
currentPopulationSizeComparator.Comparison = new Comparison(ComparisonType.NotEqual);
currentPopulationSizeComparator.Successor = currentPopulationSizeIsNotZeroBranch;
currentPopulationSizeIsNotZeroBranch.ConditionParameter.ActualName = "CurrentPopulationSizeIsNotZero";
currentPopulationSizeIsNotZeroBranch.TrueBranch = layerAnalyzerPlaceholder;
layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
analyzerPlaceholder.Successor = termination;
termination.TerminatorParameter.ActualName = TerminatorParameter.Name;
termination.ContinueBranch = matingPoolCreator;
termination.TerminateBranch = mergingReducer;
mergingReducer.Successor = rankAndCrowdingSorter;
rankAndCrowdingSorter.DominateOnEqualQualitiesParameter.ActualName = DominateOnEqualQualitiesParameter.Name;
rankAndCrowdingSorter.CrowdingDistanceParameter.ActualName = "CrowdingDistance";
rankAndCrowdingSorter.RankParameter.ActualName = "Rank";
rankAndCrowdingSorter.Successor = leftSelector;
leftSelector.CopySelected = new BoolValue(false);
leftSelector.NumberOfSelectedSubScopesParameter.ActualName = PopulationSizeParameter.Name;
leftSelector.Successor = rightReducer;
rightReducer.Successor = initFinalAnalyzerPlaceholder;
initFinalAnalyzerPlaceholder.OperatorParameter.ActualName = FinalAnalyzerParameter.Name;
#endregion
}
