protected WithoutRepeatingBatchedRandomSelector(WithoutRepeatingBatchedRandomSelector original, Cloner cloner)
: base(original, cloner) {
}
private void Initialize() {
#region Create parameters
Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "µ (mu) - the size of the population."));
Parameters.Add(new ValueLookupParameter<IntValue>("ParentsPerChild", "ρ (rho) - how many parents should be recombined."));
Parameters.Add(new ValueLookupParameter<IntValue>("Children", "λ (lambda) - the size of the offspring population."));
Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
Parameters.Add(new ValueLookupParameter<BoolValue>("PlusSelection", "True for plus selection (elitist population), false for comma selection (non-elitist population)."));
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<IOperator>("Mutator", "The operator used to mutate solutions."));
Parameters.Add(new ValueLookupParameter<IOperator>("Recombinator", "The operator used to cross solutions."));
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 LookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ScopeParameter("CurrentScope", "The current scope which represents a population of solutions on which the EvolutionStrategy should be applied."));
Parameters.Add(new ValueLookupParameter<IOperator>("StrategyParameterManipulator", "The operator to mutate the endogeneous strategy parameters."));
Parameters.Add(new ValueLookupParameter<IOperator>("StrategyParameterCrossover", "The operator to cross the endogeneous strategy parameters."));
#endregion
#region Create operators
VariableCreator variableCreator = new VariableCreator();
ResultsCollector resultsCollector1 = new ResultsCollector();
Placeholder analyzer1 = new Placeholder();
WithoutRepeatingBatchedRandomSelector selector = new WithoutRepeatingBatchedRandomSelector();
SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
Comparator useRecombinationComparator = new Comparator();
ConditionalBranch useRecombinationBranch = new ConditionalBranch();
ChildrenCreator childrenCreator = new ChildrenCreator();
UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
Placeholder recombinator = new Placeholder();
Placeholder strategyRecombinator = new Placeholder();
Placeholder strategyMutator1 = new Placeholder();
Placeholder mutator1 = new Placeholder();
SubScopesRemover subScopesRemover = new SubScopesRemover();
UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
Placeholder strategyMutator2 = new Placeholder();
Placeholder mutator2 = new Placeholder();
UniformSubScopesProcessor uniformSubScopesProcessor3 = new UniformSubScopesProcessor();
Placeholder evaluator = new Placeholder();
SubScopesCounter subScopesCounter = new SubScopesCounter();
ConditionalBranch plusOrCommaReplacementBranch = new ConditionalBranch();
MergingReducer plusReplacement = new MergingReducer();
RightReducer commaReplacement = new RightReducer();
BestSelector bestSelector = new BestSelector();
RightReducer rightReducer = new RightReducer();
IntCounter intCounter = new IntCounter();
Comparator comparator = new Comparator();
Placeholder analyzer2 = new Placeholder();
ConditionalBranch conditionalBranch = new ConditionalBranch();
ConditionalBranch reevaluateElitesBranch = new ConditionalBranch();
SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
UniformSubScopesProcessor uniformSubScopesProcessor4 = new UniformSubScopesProcessor();
Placeholder evaluator2 = new Placeholder();
SubScopesCounter subScopesCounter2 = new SubScopesCounter();
variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0))); // Class EvolutionStrategy expects this to be called Generations
resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
resultsCollector1.ResultsParameter.ActualName = "Results";
analyzer1.Name = "Analyzer (placeholder)";
analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
selector.Name = "ES Random Selector";
selector.RandomParameter.ActualName = RandomParameter.Name;
selector.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
selector.ChildrenParameter.ActualName = ChildrenParameter.Name;
useRecombinationComparator.Name = "ParentsPerChild > 1";
useRecombinationComparator.LeftSideParameter.ActualName = ParentsPerChildParameter.Name;
useRecombinationComparator.RightSideParameter.Value = new IntValue(1);
useRecombinationComparator.Comparison = new Comparison(ComparisonType.Greater);
useRecombinationComparator.ResultParameter.ActualName = "UseRecombination";
useRecombinationBranch.Name = "Use Recombination?";
useRecombinationBranch.ConditionParameter.ActualName = "UseRecombination";
childrenCreator.ParentsPerChild = null;
childrenCreator.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
recombinator.Name = "Recombinator (placeholder)";
recombinator.OperatorParameter.ActualName = RecombinatorParameter.Name;
strategyRecombinator.Name = "Strategy Parameter Recombinator (placeholder)";
strategyRecombinator.OperatorParameter.ActualName = StrategyParameterCrossoverParameter.Name;
strategyMutator1.Name = "Strategy Parameter Manipulator (placeholder)";
strategyMutator1.OperatorParameter.ActualName = StrategyParameterManipulatorParameter.Name;
mutator1.Name = "Mutator (placeholder)";
mutator1.OperatorParameter.ActualName = MutatorParameter.Name;
subScopesRemover.RemoveAllSubScopes = true;
strategyMutator2.Name = "Strategy Parameter Manipulator (placeholder)";
strategyMutator2.OperatorParameter.ActualName = StrategyParameterManipulatorParameter.Name;
mutator2.Name = "Mutator (placeholder)";
mutator2.OperatorParameter.ActualName = MutatorParameter.Name;
uniformSubScopesProcessor3.Parallel.Value = true;
evaluator.Name = "Evaluator (placeholder)";
evaluator.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesCounter.Name = "Increment EvaluatedSolutions";
subScopesCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
plusOrCommaReplacementBranch.ConditionParameter.ActualName = PlusSelectionParameter.Name;
bestSelector.CopySelected = new BoolValue(false);
bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
bestSelector.NumberOfSelectedSubScopesParameter.ActualName = PopulationSizeParameter.Name;
bestSelector.QualityParameter.ActualName = QualityParameter.Name;
intCounter.Increment = new IntValue(1);
intCounter.ValueParameter.ActualName = "Generations";
comparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
comparator.LeftSideParameter.ActualName = "Generations";
comparator.ResultParameter.ActualName = "Terminate";
comparator.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
analyzer2.Name = "Analyzer (placeholder)";
analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
conditionalBranch.ConditionParameter.ActualName = "Terminate";
reevaluateElitesBranch.ConditionParameter.ActualName = "ReevaluateElites";
reevaluateElitesBranch.Name = "Reevaluate elites ?";
uniformSubScopesProcessor4.Parallel.Value = true;
evaluator2.Name = "Evaluator (placeholder)";
evaluator2.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesCounter2.Name = "Increment EvaluatedSolutions";
subScopesCounter2.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = variableCreator;
variableCreator.Successor = resultsCollector1;
resultsCollector1.Successor = analyzer1;
analyzer1.Successor = selector;
selector.Successor = subScopesProcessor1;
subScopesProcessor1.Operators.Add(new EmptyOperator());
subScopesProcessor1.Operators.Add(useRecombinationComparator);
subScopesProcessor1.Successor = plusOrCommaReplacementBranch;
useRecombinationComparator.Successor = useRecombinationBranch;
useRecombinationBranch.TrueBranch = childrenCreator;
useRecombinationBranch.FalseBranch = uniformSubScopesProcessor2;
useRecombinationBranch.Successor = uniformSubScopesProcessor3;
childrenCreator.Successor = uniformSubScopesProcessor1;
uniformSubScopesProcessor1.Operator = recombinator;
uniformSubScopesProcessor1.Successor = null;
recombinator.Successor = strategyRecombinator;
strategyRecombinator.Successor = strategyMutator1;
strategyMutator1.Successor = mutator1;
mutator1.Successor = subScopesRemover;
subScopesRemover.Successor = null;
uniformSubScopesProcessor2.Operator = strategyMutator2;
uniformSubScopesProcessor2.Successor = null;
strategyMutator2.Successor = mutator2;
mutator2.Successor = null;
uniformSubScopesProcessor3.Operator = evaluator;
uniformSubScopesProcessor3.Successor = subScopesCounter;
evaluator.Successor = null;
subScopesCounter.Successor = null;
plusOrCommaReplacementBranch.TrueBranch = reevaluateElitesBranch;
reevaluateElitesBranch.TrueBranch = subScopesProcessor2;
reevaluateElitesBranch.FalseBranch = null;
subScopesProcessor2.Operators.Add(uniformSubScopesProcessor4);
subScopesProcessor2.Operators.Add(new EmptyOperator());
uniformSubScopesProcessor4.Operator = evaluator2;
uniformSubScopesProcessor4.Successor = subScopesCounter2;
subScopesCounter2.Successor = null;
reevaluateElitesBranch.Successor = plusReplacement;
plusOrCommaReplacementBranch.FalseBranch = commaReplacement;
plusOrCommaReplacementBranch.Successor = bestSelector;
bestSelector.Successor = rightReducer;
rightReducer.Successor = intCounter;
intCounter.Successor = comparator;
comparator.Successor = analyzer2;
analyzer2.Successor = conditionalBranch;
conditionalBranch.FalseBranch = selector;
conditionalBranch.TrueBranch = null;
conditionalBranch.Successor = null;
#endregion
}
private void Initialize()
{
#region Create parameters
Parameters.Add(new ValueLookupParameter <IRandom>("Random", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter <BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new ScopeTreeLookupParameter <DoubleValue>("Quality", "The value which represents the quality of a solution."));
Parameters.Add(new ValueLookupParameter <DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
Parameters.Add(new ValueLookupParameter <IntValue>("PopulationSize", "µ (mu) - the size of the population."));
Parameters.Add(new ValueLookupParameter <IntValue>("ParentsPerChild", "ρ (rho) - how many parents should be recombined."));
Parameters.Add(new ValueLookupParameter <IntValue>("Children", "λ (lambda) - the size of the offspring population."));
Parameters.Add(new ValueLookupParameter <IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
Parameters.Add(new ValueLookupParameter <BoolValue>("PlusSelection", "True for plus selection (elitist population), false for comma selection (non-elitist population)."));
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 <IOperator>("Mutator", "The operator used to mutate solutions."));
Parameters.Add(new ValueLookupParameter <IOperator>("Recombinator", "The operator used to cross solutions."));
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 LookupParameter <IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ScopeParameter("CurrentScope", "The current scope which represents a population of solutions on which the EvolutionStrategy should be applied."));
Parameters.Add(new ValueLookupParameter <IOperator>("StrategyParameterManipulator", "The operator to mutate the endogeneous strategy parameters."));
Parameters.Add(new ValueLookupParameter <IOperator>("StrategyParameterCrossover", "The operator to cross the endogeneous strategy parameters."));
#endregion
#region Create operators
VariableCreator variableCreator = new VariableCreator();
ResultsCollector resultsCollector1 = new ResultsCollector();
Placeholder analyzer1 = new Placeholder();
WithoutRepeatingBatchedRandomSelector selector = new WithoutRepeatingBatchedRandomSelector();
SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
Comparator useRecombinationComparator = new Comparator();
ConditionalBranch useRecombinationBranch = new ConditionalBranch();
ChildrenCreator childrenCreator = new ChildrenCreator();
UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
Placeholder recombinator = new Placeholder();
Placeholder strategyRecombinator = new Placeholder();
Placeholder strategyMutator1 = new Placeholder();
Placeholder mutator1 = new Placeholder();
SubScopesRemover subScopesRemover = new SubScopesRemover();
UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
Placeholder strategyMutator2 = new Placeholder();
Placeholder mutator2 = new Placeholder();
UniformSubScopesProcessor uniformSubScopesProcessor3 = new UniformSubScopesProcessor();
Placeholder evaluator = new Placeholder();
SubScopesCounter subScopesCounter = new SubScopesCounter();
ConditionalBranch plusOrCommaReplacementBranch = new ConditionalBranch();
MergingReducer plusReplacement = new MergingReducer();
RightReducer commaReplacement = new RightReducer();
BestSelector bestSelector = new BestSelector();
RightReducer rightReducer = new RightReducer();
IntCounter intCounter = new IntCounter();
Comparator comparator = new Comparator();
Placeholder analyzer2 = new Placeholder();
ConditionalBranch conditionalBranch = new ConditionalBranch();
ConditionalBranch reevaluateElitesBranch = new ConditionalBranch();
SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
UniformSubScopesProcessor uniformSubScopesProcessor4 = new UniformSubScopesProcessor();
Placeholder evaluator2 = new Placeholder();
SubScopesCounter subScopesCounter2 = new SubScopesCounter();
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Generations", new IntValue(0))); // Class EvolutionStrategy expects this to be called Generations
resultsCollector1.CollectedValues.Add(new LookupParameter <IntValue>("Generations"));
resultsCollector1.ResultsParameter.ActualName = "Results";
analyzer1.Name = "Analyzer (placeholder)";
analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
selector.Name = "ES Random Selector";
selector.RandomParameter.ActualName = RandomParameter.Name;
selector.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
selector.ChildrenParameter.ActualName = ChildrenParameter.Name;
useRecombinationComparator.Name = "ParentsPerChild > 1";
useRecombinationComparator.LeftSideParameter.ActualName = ParentsPerChildParameter.Name;
useRecombinationComparator.RightSideParameter.Value = new IntValue(1);
useRecombinationComparator.Comparison = new Comparison(ComparisonType.Greater);
useRecombinationComparator.ResultParameter.ActualName = "UseRecombination";
useRecombinationBranch.Name = "Use Recombination?";
useRecombinationBranch.ConditionParameter.ActualName = "UseRecombination";
childrenCreator.ParentsPerChild = null;
childrenCreator.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
recombinator.Name = "Recombinator (placeholder)";
recombinator.OperatorParameter.ActualName = RecombinatorParameter.Name;
strategyRecombinator.Name = "Strategy Parameter Recombinator (placeholder)";
strategyRecombinator.OperatorParameter.ActualName = StrategyParameterCrossoverParameter.Name;
strategyMutator1.Name = "Strategy Parameter Manipulator (placeholder)";
strategyMutator1.OperatorParameter.ActualName = StrategyParameterManipulatorParameter.Name;
mutator1.Name = "Mutator (placeholder)";
mutator1.OperatorParameter.ActualName = MutatorParameter.Name;
subScopesRemover.RemoveAllSubScopes = true;
strategyMutator2.Name = "Strategy Parameter Manipulator (placeholder)";
strategyMutator2.OperatorParameter.ActualName = StrategyParameterManipulatorParameter.Name;
mutator2.Name = "Mutator (placeholder)";
mutator2.OperatorParameter.ActualName = MutatorParameter.Name;
uniformSubScopesProcessor3.Parallel.Value = true;
evaluator.Name = "Evaluator (placeholder)";
evaluator.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesCounter.Name = "Increment EvaluatedSolutions";
subScopesCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
plusOrCommaReplacementBranch.ConditionParameter.ActualName = PlusSelectionParameter.Name;
bestSelector.CopySelected = new BoolValue(false);
bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
bestSelector.NumberOfSelectedSubScopesParameter.ActualName = PopulationSizeParameter.Name;
bestSelector.QualityParameter.ActualName = QualityParameter.Name;
intCounter.Increment = new IntValue(1);
intCounter.ValueParameter.ActualName = "Generations";
comparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
comparator.LeftSideParameter.ActualName = "Generations";
comparator.ResultParameter.ActualName = "Terminate";
comparator.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
analyzer2.Name = "Analyzer (placeholder)";
analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
conditionalBranch.ConditionParameter.ActualName = "Terminate";
reevaluateElitesBranch.ConditionParameter.ActualName = "ReevaluateElites";
reevaluateElitesBranch.Name = "Reevaluate elites ?";
uniformSubScopesProcessor4.Parallel.Value = true;
evaluator2.Name = "Evaluator (placeholder)";
evaluator2.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesCounter2.Name = "Increment EvaluatedSolutions";
subScopesCounter2.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = variableCreator;
variableCreator.Successor = resultsCollector1;
resultsCollector1.Successor = analyzer1;
analyzer1.Successor = selector;
selector.Successor = subScopesProcessor1;
subScopesProcessor1.Operators.Add(new EmptyOperator());
subScopesProcessor1.Operators.Add(useRecombinationComparator);
subScopesProcessor1.Successor = plusOrCommaReplacementBranch;
useRecombinationComparator.Successor = useRecombinationBranch;
useRecombinationBranch.TrueBranch = childrenCreator;
useRecombinationBranch.FalseBranch = uniformSubScopesProcessor2;
useRecombinationBranch.Successor = uniformSubScopesProcessor3;
childrenCreator.Successor = uniformSubScopesProcessor1;
uniformSubScopesProcessor1.Operator = recombinator;
uniformSubScopesProcessor1.Successor = null;
recombinator.Successor = strategyRecombinator;
strategyRecombinator.Successor = strategyMutator1;
strategyMutator1.Successor = mutator1;
mutator1.Successor = subScopesRemover;
subScopesRemover.Successor = null;
uniformSubScopesProcessor2.Operator = strategyMutator2;
uniformSubScopesProcessor2.Successor = null;
strategyMutator2.Successor = mutator2;
mutator2.Successor = null;
uniformSubScopesProcessor3.Operator = evaluator;
uniformSubScopesProcessor3.Successor = subScopesCounter;
evaluator.Successor = null;
subScopesCounter.Successor = null;
plusOrCommaReplacementBranch.TrueBranch = reevaluateElitesBranch;
reevaluateElitesBranch.TrueBranch = subScopesProcessor2;
reevaluateElitesBranch.FalseBranch = null;
subScopesProcessor2.Operators.Add(uniformSubScopesProcessor4);
subScopesProcessor2.Operators.Add(new EmptyOperator());
uniformSubScopesProcessor4.Operator = evaluator2;
uniformSubScopesProcessor4.Successor = subScopesCounter2;
subScopesCounter2.Successor = null;
reevaluateElitesBranch.Successor = plusReplacement;
plusOrCommaReplacementBranch.FalseBranch = commaReplacement;
plusOrCommaReplacementBranch.Successor = bestSelector;
bestSelector.Successor = rightReducer;
rightReducer.Successor = intCounter;
intCounter.Successor = comparator;
comparator.Successor = analyzer2;
analyzer2.Successor = conditionalBranch;
conditionalBranch.FalseBranch = selector;
conditionalBranch.TrueBranch = null;
conditionalBranch.Successor = null;
#endregion
}
protected WithoutRepeatingBatchedRandomSelector(WithoutRepeatingBatchedRandomSelector original, Cloner cloner)
: base(original, cloner)
{
}
