public ScatterSearch()
: base()
{
#region Create parameters
Parameters.Add(new ValueParameter <MultiAnalyzer>("Analyzer", "The analyzer used to analyze each iteration.", new MultiAnalyzer()));
Parameters.Add(new ConstrainedValueParameter <ICrossover>("Crossover", "The operator used to cross solutions."));
Parameters.Add(new ValueParameter <BoolValue>("ExecutePathRelinking", "True if path relinking should be executed instead of crossover, otherwise false.", new BoolValue(false)));
Parameters.Add(new ConstrainedValueParameter <IImprovementOperator>("Improver", "The operator used to improve solutions."));
Parameters.Add(new ValueParameter <IntValue>("MaximumIterations", "The maximum number of iterations which should be processed.", new IntValue(100)));
Parameters.Add(new ValueParameter <IntValue>("NumberOfHighQualitySolutions", "The number of high quality solutions in the reference set.", new IntValue(5)));
Parameters.Add(new ConstrainedValueParameter <IPathRelinker>("PathRelinker", "The operator used to execute path relinking."));
Parameters.Add(new ValueParameter <IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(50)));
Parameters.Add(new ValueParameter <IntValue>("ReferenceSetSize", "The size of the reference set.", new IntValue(20)));
Parameters.Add(new ValueParameter <IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter <BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ConstrainedValueParameter <ISolutionSimilarityCalculator>("SimilarityCalculator", "The operator used to calculate the similarity between two solutions."));
#endregion
#region Create operators
RandomCreator randomCreator = new RandomCreator();
SolutionsCreator solutionsCreator = new SolutionsCreator();
UniformSubScopesProcessor uniformSubScopesProcessor = new UniformSubScopesProcessor();
Placeholder solutionEvaluator = new Placeholder();
Placeholder solutionImprover = new Placeholder();
VariableCreator variableCreator = new VariableCreator();
DataReducer dataReducer = new DataReducer();
ResultsCollector resultsCollector = new ResultsCollector();
BestSelector bestSelector = new BestSelector();
ScatterSearchMainLoop mainLoop = new ScatterSearchMainLoop();
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = randomCreator;
randomCreator.RandomParameter.ActualName = "Random";
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SeedParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.Successor = solutionsCreator;
solutionsCreator.Name = "DiversificationGenerationMethod";
solutionsCreator.NumberOfSolutionsParameter.ActualName = "PopulationSize";
solutionsCreator.Successor = uniformSubScopesProcessor;
uniformSubScopesProcessor.Operator = solutionImprover;
uniformSubScopesProcessor.ParallelParameter.Value = new BoolValue(true);
uniformSubScopesProcessor.Successor = variableCreator;
solutionImprover.Name = "SolutionImprover";
solutionImprover.OperatorParameter.ActualName = "Improver";
solutionImprover.Successor = solutionEvaluator;
solutionEvaluator.Name = "SolutionEvaluator";
solutionEvaluator.OperatorParameter.ActualName = "Evaluator";
solutionEvaluator.Successor = null;
variableCreator.Name = "Initialize EvaluatedSolutions";
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("EvaluatedSolutions", new IntValue()));
variableCreator.Successor = dataReducer;
dataReducer.Name = "Increment EvaluatedSolutions";
dataReducer.ParameterToReduce.ActualName = "LocalEvaluatedSolutions";
dataReducer.TargetParameter.ActualName = "EvaluatedSolutions";
dataReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer.Successor = resultsCollector;
resultsCollector.Name = "ResultsCollector";
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>("EvaluatedSolutions", null, "EvaluatedSolutions"));
resultsCollector.Successor = bestSelector;
bestSelector.NumberOfSelectedSubScopesParameter.ActualName = NumberOfHighQualitySolutionsParameter.Name;
bestSelector.CopySelected = new BoolValue(false);
bestSelector.Successor = mainLoop;
mainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
mainLoop.ResultsParameter.ActualName = "Results";
mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
mainLoop.IterationsParameter.ActualName = "Iterations";
mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
mainLoop.NumberOfHighQualitySolutionsParameter.ActualName = NumberOfHighQualitySolutionsParameter.Name;
mainLoop.Successor = null;
#endregion
qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
ParameterizeAnalyzers();
UpdateAnalyzers();
Initialize();
}
public ScatterSearch()
: base() {
#region Create parameters
Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The analyzer used to analyze each iteration.", new MultiAnalyzer()));
Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
Parameters.Add(new ValueParameter<BoolValue>("ExecutePathRelinking", "True if path relinking should be executed instead of crossover, otherwise false.", new BoolValue(false)));
Parameters.Add(new ConstrainedValueParameter<IImprovementOperator>("Improver", "The operator used to improve solutions."));
Parameters.Add(new ValueParameter<IntValue>("MaximumIterations", "The maximum number of iterations which should be processed.", new IntValue(100)));
Parameters.Add(new ValueParameter<IntValue>("NumberOfHighQualitySolutions", "The number of high quality solutions in the reference set.", new IntValue(5)));
Parameters.Add(new ConstrainedValueParameter<IPathRelinker>("PathRelinker", "The operator used to execute path relinking."));
Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(50)));
Parameters.Add(new ValueParameter<IntValue>("ReferenceSetSize", "The size of the reference set.", new IntValue(20)));
Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ConstrainedValueParameter<ISolutionSimilarityCalculator>("SimilarityCalculator", "The operator used to calculate the similarity between two solutions."));
#endregion
#region Create operators
RandomCreator randomCreator = new RandomCreator();
SolutionsCreator solutionsCreator = new SolutionsCreator();
UniformSubScopesProcessor uniformSubScopesProcessor = new UniformSubScopesProcessor();
Placeholder solutionEvaluator = new Placeholder();
Placeholder solutionImprover = new Placeholder();
VariableCreator variableCreator = new VariableCreator();
DataReducer dataReducer = new DataReducer();
ResultsCollector resultsCollector = new ResultsCollector();
BestSelector bestSelector = new BestSelector();
ScatterSearchMainLoop mainLoop = new ScatterSearchMainLoop();
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = randomCreator;
randomCreator.RandomParameter.ActualName = "Random";
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SeedParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.Successor = solutionsCreator;
solutionsCreator.Name = "DiversificationGenerationMethod";
solutionsCreator.NumberOfSolutionsParameter.ActualName = "PopulationSize";
solutionsCreator.Successor = uniformSubScopesProcessor;
uniformSubScopesProcessor.Operator = solutionImprover;
uniformSubScopesProcessor.ParallelParameter.Value = new BoolValue(true);
uniformSubScopesProcessor.Successor = variableCreator;
solutionImprover.Name = "SolutionImprover";
solutionImprover.OperatorParameter.ActualName = "Improver";
solutionImprover.Successor = solutionEvaluator;
solutionEvaluator.Name = "SolutionEvaluator";
solutionEvaluator.OperatorParameter.ActualName = "Evaluator";
solutionEvaluator.Successor = null;
variableCreator.Name = "Initialize EvaluatedSolutions";
variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue()));
variableCreator.Successor = dataReducer;
dataReducer.Name = "Increment EvaluatedSolutions";
dataReducer.ParameterToReduce.ActualName = "LocalEvaluatedSolutions";
dataReducer.TargetParameter.ActualName = "EvaluatedSolutions";
dataReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
dataReducer.Successor = resultsCollector;
resultsCollector.Name = "ResultsCollector";
resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("EvaluatedSolutions", null, "EvaluatedSolutions"));
resultsCollector.Successor = bestSelector;
bestSelector.NumberOfSelectedSubScopesParameter.ActualName = NumberOfHighQualitySolutionsParameter.Name;
bestSelector.CopySelected = new BoolValue(false);
bestSelector.Successor = mainLoop;
mainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
mainLoop.ResultsParameter.ActualName = "Results";
mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
mainLoop.IterationsParameter.ActualName = "Iterations";
mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
mainLoop.NumberOfHighQualitySolutionsParameter.ActualName = NumberOfHighQualitySolutionsParameter.Name;
mainLoop.Successor = null;
#endregion
qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
ParameterizeAnalyzers();
UpdateAnalyzers();
Initialize();
}
private ScatterSearchMainLoop(ScatterSearchMainLoop original, Cloner cloner) : base(original, cloner)
{
}
private ScatterSearchMainLoop(ScatterSearchMainLoop original, Cloner cloner) : base(original, cloner) { }
