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 LookupParameter <DoubleValue>("Quality", "The value which represents the quality of a solution."));
Parameters.Add(new LookupParameter <DoubleValue>("BestLocalQuality", "The value which represents the best quality found so far."));
Parameters.Add(new ValueLookupParameter <DoubleValue>("BestKnownQuality", "The problem's best known quality value found so far."));
Parameters.Add(new LookupParameter <DoubleValue>("MoveQuality", "The value which represents the quality of a move."));
Parameters.Add(new LookupParameter <IntValue>("Iterations", "The number of iterations performed."));
Parameters.Add(new ValueLookupParameter <IntValue>("MaximumIterations", "The maximum number of generations which should be processed."));
Parameters.Add(new ValueLookupParameter <VariableCollection>("Results", "The variable collection where results should be stored."));
Parameters.Add(new ValueLookupParameter <IOperator>("MoveGenerator", "The operator that generates the moves."));
Parameters.Add(new ValueLookupParameter <IOperator>("MoveMaker", "The operator that performs a move and updates the quality."));
Parameters.Add(new ValueLookupParameter <IOperator>("MoveEvaluator", "The operator that evaluates a move."));
Parameters.Add(new ValueLookupParameter <IOperator>("Analyzer", "The operator used to analyze the solution and moves."));
Parameters.Add(new LookupParameter <IntValue>("EvaluatedMoves", "The number of evaluated moves."));
#endregion
#region Create operators
SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
Assigner bestQualityInitializer = new Assigner();
Placeholder analyzer1 = new Placeholder();
ResultsCollector resultsCollector1 = new ResultsCollector();
SubScopesProcessor mainProcessor = new SubScopesProcessor();
Placeholder moveGenerator = new Placeholder();
UniformSubScopesProcessor moveEvaluationProcessor = new UniformSubScopesProcessor();
Placeholder moveEvaluator = new Placeholder();
SubScopesCounter subScopesCounter = new SubScopesCounter();
BestSelector bestSelector = new BestSelector();
SubScopesProcessor moveMakingProcessor = new SubScopesProcessor();
UniformSubScopesProcessor selectedMoveMakingProcessor = new UniformSubScopesProcessor();
QualityComparator qualityComparator = new QualityComparator();
ConditionalBranch improvesQualityBranch = new ConditionalBranch();
Placeholder moveMaker = new Placeholder();
Assigner bestQualityUpdater = new Assigner();
ResultsCollector resultsCollector2 = new ResultsCollector();
MergingReducer mergingReducer = new MergingReducer();
Placeholder analyzer2 = new Placeholder();
SubScopesRemover subScopesRemover = new SubScopesRemover();
IntCounter iterationsCounter = new IntCounter();
Comparator iterationsComparator = new Comparator();
ConditionalBranch iterationsTermination = new ConditionalBranch();
bestQualityInitializer.Name = "Initialize BestQuality";
bestQualityInitializer.LeftSideParameter.ActualName = BestLocalQualityParameter.Name;
bestQualityInitializer.RightSideParameter.ActualName = QualityParameter.Name;
analyzer1.Name = "Analyzer (placeholder)";
analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
resultsCollector1.CopyValue = new BoolValue(false);
resultsCollector1.CollectedValues.Add(new LookupParameter <IntValue>(IterationsParameter.Name));
resultsCollector1.CollectedValues.Add(new LookupParameter <DoubleValue>(BestLocalQualityParameter.Name, null, BestLocalQualityParameter.Name));
resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
moveGenerator.Name = "MoveGenerator (placeholder)";
moveGenerator.OperatorParameter.ActualName = MoveGeneratorParameter.Name;
moveEvaluationProcessor.Parallel = new BoolValue(true);
moveEvaluator.Name = "MoveEvaluator (placeholder)";
moveEvaluator.OperatorParameter.ActualName = MoveEvaluatorParameter.Name;
subScopesCounter.Name = "Increment EvaluatedMoves";
subScopesCounter.ValueParameter.ActualName = EvaluatedMovesParameter.Name;
bestSelector.CopySelected = new BoolValue(false);
bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
bestSelector.NumberOfSelectedSubScopesParameter.Value = new IntValue(1);
bestSelector.QualityParameter.ActualName = MoveQualityParameter.Name;
qualityComparator.LeftSideParameter.ActualName = MoveQualityParameter.Name;
qualityComparator.RightSideParameter.ActualName = QualityParameter.Name;
qualityComparator.ResultParameter.ActualName = "IsBetter";
improvesQualityBranch.ConditionParameter.ActualName = "IsBetter";
moveMaker.Name = "MoveMaker (placeholder)";
moveMaker.OperatorParameter.ActualName = MoveMakerParameter.Name;
bestQualityUpdater.Name = "Update BestQuality";
bestQualityUpdater.LeftSideParameter.ActualName = BestLocalQualityParameter.Name;
bestQualityUpdater.RightSideParameter.ActualName = QualityParameter.Name;
resultsCollector2.CopyValue = new BoolValue(false);
resultsCollector2.CollectedValues.Add(new LookupParameter <DoubleValue>(BestLocalQualityParameter.Name, null, BestLocalQualityParameter.Name));
resultsCollector2.ResultsParameter.ActualName = ResultsParameter.Name;
analyzer2.Name = "Analyzer (placeholder)";
analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
subScopesRemover.RemoveAllSubScopes = true;
iterationsCounter.Name = "Iterations Counter";
iterationsCounter.Increment = new IntValue(1);
iterationsCounter.ValueParameter.ActualName = IterationsParameter.Name;
iterationsComparator.Name = "Iterations >= MaximumIterations";
iterationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
iterationsComparator.LeftSideParameter.ActualName = IterationsParameter.Name;
iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
iterationsComparator.ResultParameter.ActualName = "Terminate";
iterationsTermination.Name = "Iterations Termination Condition";
iterationsTermination.ConditionParameter.ActualName = "Terminate";
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = subScopesProcessor0; // don't change this without adapting the constructor of LocalSearchImprovementOperator
subScopesProcessor0.Operators.Add(bestQualityInitializer);
subScopesProcessor0.Successor = resultsCollector1;
bestQualityInitializer.Successor = analyzer1;
analyzer1.Successor = null;
resultsCollector1.Successor = mainProcessor;
mainProcessor.Operators.Add(moveGenerator);
mainProcessor.Successor = iterationsCounter;
moveGenerator.Successor = moveEvaluationProcessor;
moveEvaluationProcessor.Operator = moveEvaluator;
moveEvaluationProcessor.Successor = subScopesCounter;
moveEvaluator.Successor = null;
subScopesCounter.Successor = bestSelector;
bestSelector.Successor = moveMakingProcessor;
moveMakingProcessor.Operators.Add(new EmptyOperator());
moveMakingProcessor.Operators.Add(selectedMoveMakingProcessor);
moveMakingProcessor.Successor = mergingReducer;
selectedMoveMakingProcessor.Operator = qualityComparator;
qualityComparator.Successor = improvesQualityBranch;
improvesQualityBranch.TrueBranch = moveMaker;
improvesQualityBranch.FalseBranch = null;
improvesQualityBranch.Successor = null;
moveMaker.Successor = bestQualityUpdater;
bestQualityUpdater.Successor = null;
mergingReducer.Successor = analyzer2;
analyzer2.Successor = subScopesRemover;
subScopesRemover.Successor = null;
iterationsCounter.Successor = iterationsComparator;
iterationsComparator.Successor = iterationsTermination;
iterationsTermination.TrueBranch = null;
iterationsTermination.FalseBranch = mainProcessor;
#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 LookupParameter <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 <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 LookupParameter <IntValue>("Iterations", "The iterations to count."));
Parameters.Add(new ValueLookupParameter <IntValue>("MaximumIterations", "The maximum number of generations which should be processed."));
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 the solution."));
Parameters.Add(new LookupParameter <IntValue>("EvaluatedSolutions", "The number of evaluated solutions."));
Parameters.Add(new ValueLookupParameter <ILocalImprovementOperator>("LocalImprovement", "The local improvement operation."));
Parameters.Add(new ValueLookupParameter <IMultiNeighborhoodShakingOperator>("ShakingOperator", "The shaking operation."));
Parameters.Add(new LookupParameter <IntValue>("CurrentNeighborhoodIndex", "The index of the current shaking operation that should be applied."));
Parameters.Add(new LookupParameter <IntValue>("NeighborhoodCount", "The number of neighborhood operators used for shaking."));
#endregion
#region Create operators
VariableCreator variableCreator = new VariableCreator();
SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
Assigner bestQualityInitializer = new Assigner();
Placeholder analyzer1 = new Placeholder();
ResultsCollector resultsCollector1 = new ResultsCollector();
CombinedOperator iteration = new CombinedOperator();
Assigner iterationInit = new Assigner();
SubScopesCloner createChild = new SubScopesCloner();
SubScopesProcessor childProcessor = new SubScopesProcessor();
Assigner qualityAssigner = new Assigner();
Placeholder shaking = new Placeholder();
Placeholder localImprovement = new Placeholder();
Placeholder evaluator = new Placeholder();
IntCounter evalCounter = new IntCounter();
QualityComparator qualityComparator = new QualityComparator();
ConditionalBranch improvesQualityBranch = new ConditionalBranch();
Assigner bestQualityUpdater = new Assigner();
BestSelector bestSelector = new BestSelector();
RightReducer rightReducer = new RightReducer();
IntCounter indexCounter = new IntCounter();
Assigner indexResetter = new Assigner();
Placeholder analyzer2 = new Placeholder();
Comparator indexComparator = new Comparator();
ConditionalBranch indexTermination = new ConditionalBranch();
IntCounter iterationsCounter = new IntCounter();
Comparator iterationsComparator = new Comparator();
ConditionalBranch iterationsTermination = new ConditionalBranch();
variableCreator.CollectedValues.Add(new ValueParameter <BoolValue>("IsBetter", new BoolValue(false)));
variableCreator.CollectedValues.Add(new ValueParameter <DoubleValue>("BestQuality", new DoubleValue(0)));
bestQualityInitializer.Name = "Initialize BestQuality";
bestQualityInitializer.LeftSideParameter.ActualName = "BestQuality";
bestQualityInitializer.RightSideParameter.ActualName = QualityParameter.Name;
analyzer1.Name = "Analyzer (placeholder)";
analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
resultsCollector1.CopyValue = new BoolValue(false);
resultsCollector1.CollectedValues.Add(new LookupParameter <DoubleValue>("Best Quality", null, "BestQuality"));
resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
iteration.Name = "MainLoop Body";
iterationInit.Name = "Init k = 0";
iterationInit.LeftSideParameter.ActualName = CurrentNeighborhoodIndexParameter.Name;
iterationInit.RightSideParameter.Value = new IntValue(0);
createChild.Name = "Clone solution";
qualityAssigner.Name = "Assign quality";
qualityAssigner.LeftSideParameter.ActualName = "OriginalQuality";
qualityAssigner.RightSideParameter.ActualName = QualityParameter.Name;
shaking.Name = "Shaking operator (placeholder)";
shaking.OperatorParameter.ActualName = ShakingOperatorParameter.Name;
localImprovement.Name = "Local improvement operator (placeholder)";
localImprovement.OperatorParameter.ActualName = LocalImprovementParameter.Name;
evaluator.Name = "Evaluation operator (placeholder)";
evaluator.OperatorParameter.ActualName = EvaluatorParameter.Name;
evalCounter.Name = "Count evaluations";
evalCounter.Increment.Value = 1;
evalCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.ActualName;
qualityComparator.LeftSideParameter.ActualName = QualityParameter.Name;
qualityComparator.RightSideParameter.ActualName = "OriginalQuality";
qualityComparator.ResultParameter.ActualName = "IsBetter";
improvesQualityBranch.ConditionParameter.ActualName = "IsBetter";
bestQualityUpdater.Name = "Update BestQuality";
bestQualityUpdater.LeftSideParameter.ActualName = "BestQuality";
bestQualityUpdater.RightSideParameter.ActualName = QualityParameter.Name;
bestSelector.CopySelected = new BoolValue(false);
bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
bestSelector.NumberOfSelectedSubScopesParameter.Value = new IntValue(1);
bestSelector.QualityParameter.ActualName = QualityParameter.Name;
indexCounter.Name = "Count neighborhood index";
indexCounter.Increment.Value = 1;
indexCounter.ValueParameter.ActualName = CurrentNeighborhoodIndexParameter.Name;
indexResetter.Name = "Reset neighborhood index";
indexResetter.LeftSideParameter.ActualName = CurrentNeighborhoodIndexParameter.Name;
indexResetter.RightSideParameter.Value = new IntValue(0);
analyzer2.Name = "Analyzer (placeholder)";
analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
iterationsCounter.Name = "Iterations Counter";
iterationsCounter.Increment = new IntValue(1);
iterationsCounter.ValueParameter.ActualName = IterationsParameter.Name;
iterationsComparator.Name = "Iterations >= MaximumIterations";
iterationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
iterationsComparator.LeftSideParameter.ActualName = IterationsParameter.Name;
iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
iterationsComparator.ResultParameter.ActualName = "Terminate";
iterationsTermination.Name = "Iterations Termination Condition";
iterationsTermination.ConditionParameter.ActualName = "Terminate";
indexComparator.Name = "k < k_max (index condition)";
indexComparator.LeftSideParameter.ActualName = CurrentNeighborhoodIndexParameter.Name;
indexComparator.RightSideParameter.ActualName = NeighborhoodCountParameter.Name;
indexComparator.Comparison = new Comparison(ComparisonType.Less);
indexComparator.ResultParameter.ActualName = "ContinueIteration";
indexTermination.Name = "Index Termination Condition";
indexTermination.ConditionParameter.ActualName = "ContinueIteration";
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = variableCreator;
variableCreator.Successor = subScopesProcessor0;
subScopesProcessor0.Operators.Add(bestQualityInitializer);
subScopesProcessor0.Successor = analyzer1;
analyzer1.Successor = resultsCollector1;
/////////
resultsCollector1.Successor = iteration;
iteration.OperatorGraph.InitialOperator = iterationInit;
iteration.Successor = iterationsCounter;
iterationInit.Successor = createChild;
createChild.Successor = childProcessor;
childProcessor.Operators.Add(new EmptyOperator());
childProcessor.Operators.Add(qualityAssigner);
childProcessor.Successor = bestSelector;
/////////
qualityAssigner.Successor = shaking;
shaking.Successor = evaluator;
evaluator.Successor = evalCounter;
evalCounter.Successor = localImprovement;
localImprovement.Successor = qualityComparator;
qualityComparator.Successor = improvesQualityBranch;
improvesQualityBranch.TrueBranch = bestQualityUpdater;
improvesQualityBranch.FalseBranch = indexCounter;
bestQualityUpdater.Successor = indexResetter;
indexResetter.Successor = null;
indexCounter.Successor = null;
/////////
bestSelector.Successor = rightReducer;
rightReducer.Successor = analyzer2;
analyzer2.Successor = indexComparator;
indexComparator.Successor = indexTermination;
indexTermination.TrueBranch = createChild;
indexTermination.FalseBranch = null;
iterationsCounter.Successor = iterationsComparator;
iterationsComparator.Successor = iterationsTermination;
iterationsTermination.TrueBranch = null;
iterationsTermination.FalseBranch = iteration;
#endregion
}
