private OffspringProcessor(OffspringProcessor original, Cloner cloner) : base(original, cloner)
{
}
private void Initialize()
{
#region Create parameters
Parameters.Add(new ValueLookupParameter <IMultiAnalyzer>("Analyzer", "The analyzer used to analyze each iteration."));
Parameters.Add(new ValueLookupParameter <DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
Parameters.Add(new ValueLookupParameter <ICrossover>("Crossover", "The operator used to cross solutions."));
Parameters.Add(new ValueLookupParameter <IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ValueLookupParameter <IEvaluator>("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 <BoolValue>("ExecutePathRelinking", "True if path relinking should be executed instead of crossover, otherwise false."));
Parameters.Add(new ValueLookupParameter <IImprovementOperator>("Improver", "The operator used to improve solutions."));
Parameters.Add(new ValueLookupParameter <IntValue>("Iterations", "The number of iterations performed."));
Parameters.Add(new ValueLookupParameter <BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new ValueLookupParameter <IntValue>("MaximumIterations", "The maximum number of iterations which should be processed."));
Parameters.Add(new ValueLookupParameter <IntValue>("NumberOfHighQualitySolutions", "The number of high quality solutions in the reference set."));
Parameters.Add(new ValueLookupParameter <IPathRelinker>("PathRelinker", "The operator used to execute path relinking."));
Parameters.Add(new ValueLookupParameter <IntValue>("PopulationSize", "The size of the population of solutions."));
Parameters.Add(new ValueLookupParameter <IntValue>("ReferenceSetSize", "The size of the reference set."));
Parameters.Add(new ValueLookupParameter <DoubleValue>("Quality", "This parameter is used for name translation only."));
Parameters.Add(new ValueLookupParameter <IRandom>("Random", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter <VariableCollection>("Results", "The variable collection where results should be stored."));
Parameters.Add(new ValueLookupParameter <ISolutionSimilarityCalculator>("SimilarityCalculator", "The operator used to calculate the similarity between two solutions."));
#endregion
#region Create operators
Placeholder analyzer = new Placeholder();
Assigner assigner1 = new Assigner();
Assigner assigner2 = new Assigner();
ChildrenCreator childrenCreator = new ChildrenCreator();
Placeholder crossover = new Placeholder();
Comparator iterationsChecker = new Comparator();
IntCounter iterationsCounter = new IntCounter();
MergingReducer mergingReducer = new MergingReducer();
ConditionalBranch executePathRelinkingBranch = new ConditionalBranch();
ConditionalBranch newSolutionsBranch = new ConditionalBranch();
OffspringProcessor offspringProcessor = new OffspringProcessor();
Placeholder pathRelinker = new Placeholder();
PopulationRebuildMethod populationRebuildMethod = new PopulationRebuildMethod();
ReferenceSetUpdateMethod referenceSetUpdateMethod = new ReferenceSetUpdateMethod();
ResultsCollector resultsCollector = new ResultsCollector();
RightSelector rightSelector = new RightSelector();
Placeholder solutionEvaluator1 = new Placeholder();
Placeholder solutionEvaluator2 = new Placeholder();
Placeholder solutionImprover1 = new Placeholder();
Placeholder solutionImprover2 = new Placeholder();
SolutionPoolUpdateMethod solutionPoolUpdateMethod = new SolutionPoolUpdateMethod();
SolutionsCreator solutionsCreator = new SolutionsCreator();
DataReducer dataReducer1 = new DataReducer();
DataReducer dataReducer2 = new DataReducer();
SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
SubScopesProcessor subScopesProcessor3 = new SubScopesProcessor();
SubScopesProcessor subScopesProcessor4 = new SubScopesProcessor();
ConditionalBranch terminateBranch = new ConditionalBranch();
UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
UniformSubScopesProcessor uniformSubScopesProcessor3 = new UniformSubScopesProcessor();
VariableCreator variableCreator = new VariableCreator();
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>(IterationsParameter.Name, new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter <BoolValue>("NewSolutions", new BoolValue(false)));
variableCreator.Successor = resultsCollector;
resultsCollector.CopyValue = new BoolValue(false);
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>(IterationsParameter.Name));
resultsCollector.ResultsParameter.ActualName = ResultsParameter.Name;
resultsCollector.Successor = iterationsChecker;
iterationsChecker.Name = "IterationsChecker";
iterationsChecker.Comparison.Value = ComparisonType.GreaterOrEqual;
iterationsChecker.LeftSideParameter.ActualName = IterationsParameter.Name;
iterationsChecker.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
iterationsChecker.ResultParameter.ActualName = "Terminate";
iterationsChecker.Successor = terminateBranch;
terminateBranch.Name = "TerminateChecker";
terminateBranch.ConditionParameter.ActualName = "Terminate";
terminateBranch.FalseBranch = referenceSetUpdateMethod;
referenceSetUpdateMethod.Successor = assigner1;
assigner1.Name = "NewSolutions = true";
assigner1.LeftSideParameter.ActualName = "NewSolutions";
assigner1.RightSideParameter.Value = new BoolValue(true);
assigner1.Successor = subScopesProcessor1;
subScopesProcessor1.DepthParameter.Value = new IntValue(1);
subScopesProcessor1.Operators.Add(new EmptyOperator());
subScopesProcessor1.Operators.Add(childrenCreator);
subScopesProcessor1.Successor = newSolutionsBranch;
childrenCreator.Name = "SubsetGenerator";
childrenCreator.ParentsPerChildParameter.Value = new IntValue(2);
childrenCreator.Successor = assigner2;
assigner2.Name = "NewSolutions = false";
assigner2.LeftSideParameter.ActualName = "NewSolutions";
assigner2.RightSideParameter.Value = new BoolValue(false);
assigner2.Successor = uniformSubScopesProcessor1;
uniformSubScopesProcessor1.DepthParameter.Value = new IntValue(1);
uniformSubScopesProcessor1.Operator = executePathRelinkingBranch;
uniformSubScopesProcessor1.Successor = solutionPoolUpdateMethod;
executePathRelinkingBranch.Name = "ExecutePathRelinkingChecker";
executePathRelinkingBranch.ConditionParameter.ActualName = ExecutePathRelinkingParameter.ActualName;
executePathRelinkingBranch.TrueBranch = pathRelinker;
executePathRelinkingBranch.FalseBranch = crossover;
pathRelinker.Name = "PathRelinker";
pathRelinker.OperatorParameter.ActualName = PathRelinkerParameter.Name;
pathRelinker.Successor = rightSelector;
crossover.Name = "Crossover";
crossover.OperatorParameter.ActualName = CrossoverParameter.Name;
crossover.Successor = offspringProcessor;
offspringProcessor.Successor = rightSelector;
rightSelector.NumberOfSelectedSubScopesParameter.Value = new IntValue(1);
rightSelector.CopySelected = new BoolValue(false);
rightSelector.Successor = subScopesProcessor2;
subScopesProcessor2.DepthParameter.Value = new IntValue(1);
subScopesProcessor2.Operators.Add(new EmptyOperator());
subScopesProcessor2.Operators.Add(uniformSubScopesProcessor2);
subScopesProcessor2.Successor = mergingReducer;
uniformSubScopesProcessor2.DepthParameter.Value = new IntValue(2);
uniformSubScopesProcessor2.Operator = solutionImprover1;
uniformSubScopesProcessor2.ParallelParameter.Value = new BoolValue(true);
uniformSubScopesProcessor2.Successor = subScopesProcessor4;
solutionImprover1.Name = "SolutionImprover";
solutionImprover1.OperatorParameter.ActualName = ImproverParameter.Name;
solutionImprover1.Successor = solutionEvaluator1;
solutionEvaluator1.Name = "SolutionEvaluator";
solutionEvaluator1.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesProcessor4.Operators.Add(dataReducer1);
dataReducer1.Name = "Increment EvaluatedSolutions";
dataReducer1.ParameterToReduce.ActualName = "LocalEvaluatedSolutions";
dataReducer1.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
dataReducer1.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer1.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
solutionPoolUpdateMethod.QualityParameter.ActualName = QualityParameter.ActualName;
solutionPoolUpdateMethod.Successor = analyzer;
analyzer.Name = "Analyzer";
analyzer.OperatorParameter.ActualName = AnalyzerParameter.Name;
newSolutionsBranch.Name = "NewSolutionsChecker";
newSolutionsBranch.ConditionParameter.ActualName = "NewSolutions";
newSolutionsBranch.TrueBranch = subScopesProcessor1;
newSolutionsBranch.FalseBranch = populationRebuildMethod;
populationRebuildMethod.QualityParameter.ActualName = QualityParameter.ActualName;
populationRebuildMethod.Successor = subScopesProcessor3;
subScopesProcessor3.DepthParameter.Value = new IntValue(1);
subScopesProcessor3.Operators.Add(solutionsCreator);
subScopesProcessor3.Operators.Add(new EmptyOperator());
subScopesProcessor3.Successor = iterationsCounter;
solutionsCreator.Name = "DiversificationGenerationMethod";
solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
solutionsCreator.Successor = uniformSubScopesProcessor3;
uniformSubScopesProcessor3.DepthParameter.Value = new IntValue(1);
uniformSubScopesProcessor3.Operator = solutionImprover2;
uniformSubScopesProcessor3.ParallelParameter.Value = new BoolValue(true);
uniformSubScopesProcessor3.Successor = dataReducer2;
solutionImprover2.Name = "SolutionImprover";
solutionImprover2.OperatorParameter.ActualName = ImproverParameter.Name;
solutionImprover2.Successor = solutionEvaluator2;
solutionEvaluator2.Name = "SolutionEvaluator";
solutionEvaluator2.OperatorParameter.ActualName = EvaluatorParameter.Name;
dataReducer2.Name = "Increment EvaluatedSolutions";
dataReducer2.ParameterToReduce.ActualName = "LocalEvaluatedSolutions";
dataReducer2.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
dataReducer2.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer2.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
iterationsCounter.Name = "IterationCounter";
iterationsCounter.IncrementParameter.Value = new IntValue(1);
iterationsCounter.ValueParameter.ActualName = IterationsParameter.Name;
iterationsCounter.Successor = resultsCollector;
#endregion
}
private OffspringProcessor(OffspringProcessor original, Cloner cloner) : base(original, cloner) { }
private void Initialize() {
#region Create parameters
Parameters.Add(new ValueLookupParameter<IMultiAnalyzer>("Analyzer", "The analyzer used to analyze each iteration."));
Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
Parameters.Add(new ValueLookupParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
Parameters.Add(new ValueLookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
Parameters.Add(new ValueLookupParameter<IEvaluator>("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<BoolValue>("ExecutePathRelinking", "True if path relinking should be executed instead of crossover, otherwise false."));
Parameters.Add(new ValueLookupParameter<IImprovementOperator>("Improver", "The operator used to improve solutions."));
Parameters.Add(new ValueLookupParameter<IntValue>("Iterations", "The number of iterations performed."));
Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of iterations which should be processed."));
Parameters.Add(new ValueLookupParameter<IntValue>("NumberOfHighQualitySolutions", "The number of high quality solutions in the reference set."));
Parameters.Add(new ValueLookupParameter<IPathRelinker>("PathRelinker", "The operator used to execute path relinking."));
Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population of solutions."));
Parameters.Add(new ValueLookupParameter<IntValue>("ReferenceSetSize", "The size of the reference set."));
Parameters.Add(new ValueLookupParameter<DoubleValue>("Quality", "This parameter is used for name translation only."));
Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
Parameters.Add(new ValueLookupParameter<ISolutionSimilarityCalculator>("SimilarityCalculator", "The operator used to calculate the similarity between two solutions."));
#endregion
#region Create operators
Placeholder analyzer = new Placeholder();
Assigner assigner1 = new Assigner();
Assigner assigner2 = new Assigner();
ChildrenCreator childrenCreator = new ChildrenCreator();
Placeholder crossover = new Placeholder();
Comparator iterationsChecker = new Comparator();
IntCounter iterationsCounter = new IntCounter();
MergingReducer mergingReducer = new MergingReducer();
ConditionalBranch executePathRelinkingBranch = new ConditionalBranch();
ConditionalBranch newSolutionsBranch = new ConditionalBranch();
OffspringProcessor offspringProcessor = new OffspringProcessor();
Placeholder pathRelinker = new Placeholder();
PopulationRebuildMethod populationRebuildMethod = new PopulationRebuildMethod();
ReferenceSetUpdateMethod referenceSetUpdateMethod = new ReferenceSetUpdateMethod();
ResultsCollector resultsCollector = new ResultsCollector();
RightSelector rightSelector = new RightSelector();
Placeholder solutionEvaluator1 = new Placeholder();
Placeholder solutionEvaluator2 = new Placeholder();
Placeholder solutionImprover1 = new Placeholder();
Placeholder solutionImprover2 = new Placeholder();
SolutionPoolUpdateMethod solutionPoolUpdateMethod = new SolutionPoolUpdateMethod();
SolutionsCreator solutionsCreator = new SolutionsCreator();
DataReducer dataReducer1 = new DataReducer();
DataReducer dataReducer2 = new DataReducer();
SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
SubScopesProcessor subScopesProcessor3 = new SubScopesProcessor();
SubScopesProcessor subScopesProcessor4 = new SubScopesProcessor();
ConditionalBranch terminateBranch = new ConditionalBranch();
UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
UniformSubScopesProcessor uniformSubScopesProcessor3 = new UniformSubScopesProcessor();
VariableCreator variableCreator = new VariableCreator();
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = variableCreator;
variableCreator.CollectedValues.Add(new ValueParameter<IntValue>(IterationsParameter.Name, new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter<BoolValue>("NewSolutions", new BoolValue(false)));
variableCreator.Successor = resultsCollector;
resultsCollector.CopyValue = new BoolValue(false);
resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>(IterationsParameter.Name));
resultsCollector.ResultsParameter.ActualName = ResultsParameter.Name;
resultsCollector.Successor = iterationsChecker;
iterationsChecker.Name = "IterationsChecker";
iterationsChecker.Comparison.Value = ComparisonType.GreaterOrEqual;
iterationsChecker.LeftSideParameter.ActualName = IterationsParameter.Name;
iterationsChecker.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
iterationsChecker.ResultParameter.ActualName = "Terminate";
iterationsChecker.Successor = terminateBranch;
terminateBranch.Name = "TerminateChecker";
terminateBranch.ConditionParameter.ActualName = "Terminate";
terminateBranch.FalseBranch = referenceSetUpdateMethod;
referenceSetUpdateMethod.Successor = assigner1;
assigner1.Name = "NewSolutions = true";
assigner1.LeftSideParameter.ActualName = "NewSolutions";
assigner1.RightSideParameter.Value = new BoolValue(true);
assigner1.Successor = subScopesProcessor1;
subScopesProcessor1.DepthParameter.Value = new IntValue(1);
subScopesProcessor1.Operators.Add(new EmptyOperator());
subScopesProcessor1.Operators.Add(childrenCreator);
subScopesProcessor1.Successor = newSolutionsBranch;
childrenCreator.Name = "SubsetGenerator";
childrenCreator.ParentsPerChildParameter.Value = new IntValue(2);
childrenCreator.Successor = assigner2;
assigner2.Name = "NewSolutions = false";
assigner2.LeftSideParameter.ActualName = "NewSolutions";
assigner2.RightSideParameter.Value = new BoolValue(false);
assigner2.Successor = uniformSubScopesProcessor1;
uniformSubScopesProcessor1.DepthParameter.Value = new IntValue(1);
uniformSubScopesProcessor1.Operator = executePathRelinkingBranch;
uniformSubScopesProcessor1.Successor = solutionPoolUpdateMethod;
executePathRelinkingBranch.Name = "ExecutePathRelinkingChecker";
executePathRelinkingBranch.ConditionParameter.ActualName = ExecutePathRelinkingParameter.ActualName;
executePathRelinkingBranch.TrueBranch = pathRelinker;
executePathRelinkingBranch.FalseBranch = crossover;
pathRelinker.Name = "PathRelinker";
pathRelinker.OperatorParameter.ActualName = PathRelinkerParameter.Name;
pathRelinker.Successor = rightSelector;
crossover.Name = "Crossover";
crossover.OperatorParameter.ActualName = CrossoverParameter.Name;
crossover.Successor = offspringProcessor;
offspringProcessor.Successor = rightSelector;
rightSelector.NumberOfSelectedSubScopesParameter.Value = new IntValue(1);
rightSelector.CopySelected = new BoolValue(false);
rightSelector.Successor = subScopesProcessor2;
subScopesProcessor2.DepthParameter.Value = new IntValue(1);
subScopesProcessor2.Operators.Add(new EmptyOperator());
subScopesProcessor2.Operators.Add(uniformSubScopesProcessor2);
subScopesProcessor2.Successor = mergingReducer;
uniformSubScopesProcessor2.DepthParameter.Value = new IntValue(2);
uniformSubScopesProcessor2.Operator = solutionImprover1;
uniformSubScopesProcessor2.ParallelParameter.Value = new BoolValue(true);
uniformSubScopesProcessor2.Successor = subScopesProcessor4;
solutionImprover1.Name = "SolutionImprover";
solutionImprover1.OperatorParameter.ActualName = ImproverParameter.Name;
solutionImprover1.Successor = solutionEvaluator1;
solutionEvaluator1.Name = "SolutionEvaluator";
solutionEvaluator1.OperatorParameter.ActualName = EvaluatorParameter.Name;
subScopesProcessor4.Operators.Add(dataReducer1);
dataReducer1.Name = "Increment EvaluatedSolutions";
dataReducer1.ParameterToReduce.ActualName = "LocalEvaluatedSolutions";
dataReducer1.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
dataReducer1.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer1.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
solutionPoolUpdateMethod.QualityParameter.ActualName = QualityParameter.ActualName;
solutionPoolUpdateMethod.Successor = analyzer;
analyzer.Name = "Analyzer";
analyzer.OperatorParameter.ActualName = AnalyzerParameter.Name;
newSolutionsBranch.Name = "NewSolutionsChecker";
newSolutionsBranch.ConditionParameter.ActualName = "NewSolutions";
newSolutionsBranch.TrueBranch = subScopesProcessor1;
newSolutionsBranch.FalseBranch = populationRebuildMethod;
populationRebuildMethod.QualityParameter.ActualName = QualityParameter.ActualName;
populationRebuildMethod.Successor = subScopesProcessor3;
subScopesProcessor3.DepthParameter.Value = new IntValue(1);
subScopesProcessor3.Operators.Add(solutionsCreator);
subScopesProcessor3.Operators.Add(new EmptyOperator());
subScopesProcessor3.Successor = iterationsCounter;
solutionsCreator.Name = "DiversificationGenerationMethod";
solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
solutionsCreator.Successor = uniformSubScopesProcessor3;
uniformSubScopesProcessor3.DepthParameter.Value = new IntValue(1);
uniformSubScopesProcessor3.Operator = solutionImprover2;
uniformSubScopesProcessor3.ParallelParameter.Value = new BoolValue(true);
uniformSubScopesProcessor3.Successor = dataReducer2;
solutionImprover2.Name = "SolutionImprover";
solutionImprover2.OperatorParameter.ActualName = ImproverParameter.Name;
solutionImprover2.Successor = solutionEvaluator2;
solutionEvaluator2.Name = "SolutionEvaluator";
solutionEvaluator2.OperatorParameter.ActualName = EvaluatorParameter.Name;
dataReducer2.Name = "Increment EvaluatedSolutions";
dataReducer2.ParameterToReduce.ActualName = "LocalEvaluatedSolutions";
dataReducer2.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
dataReducer2.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer2.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
iterationsCounter.Name = "IterationCounter";
iterationsCounter.IncrementParameter.Value = new IntValue(1);
iterationsCounter.ValueParameter.ActualName = IterationsParameter.Name;
iterationsCounter.Successor = resultsCollector;
#endregion
}
