source: branches/IslandALPS/IslandALPS/3.3/Offspring Selection/IslandAlpsOffspringSelectionAlgorithmMainLoop.cs @ 13857

using HeuristicLab.Algorithms.ALPS;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Selection;

namespace HeuristicLab.Algorithms.IslandALPS {
  [Item("IslandAlpsOffspringSelectionAlgorithmMainLoop", "An island ALPS offspring selection main loop operator.")]
  [StorableClass]
  public class IslandAlpsOffspringSelectionAlgorithmMainLoop : AlgorithmOperator {
    private const string LayerResultsParametername = "LayerResults";
    private const string GenerationsParametername = "Generations";
    private const string IslandResultsParametername = "IslandResults";
    private const string LayerParametername = "Layer";
    private const string MigrationsParametername = "Migrations";
    private const string OpenLayersParametername = "OpenLayers";
    private const string GroupResultsParametername = "GroupResults";
    private const string MigrationThresholdParametername = "MigrationThreshold";
    private const string MigrateParametername = "Migrate";
    private const string LayerEvaluatedSolutionsParameterName = "LayerEvaluatedSolutions";

    [StorableConstructor]
    private IslandAlpsOffspringSelectionAlgorithmMainLoop(bool deserializing) : base(deserializing) {}

    #region Parameter Properties

    public ValueLookupParameter<IRandom> GlobalRandomParameter {
      get { return (ValueLookupParameter<IRandom>) Parameters["GlobalRandom"]; }
    }

    public ValueLookupParameter<IRandom> IslandRandomParameter {
      get { return (ValueLookupParameter<IRandom>) Parameters["IslandRandom"]; }
    }

    public ValueLookupParameter<IRandom> LayerRandomParameter {
      get { return (ValueLookupParameter<IRandom>) Parameters["LayerRandom"]; }
    }

    public ValueLookupParameter<BoolValue> MaximizationParameter {
      get { return (ValueLookupParameter<BoolValue>) Parameters["Maximization"]; }
    }

    public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
      get { return (ScopeTreeLookupParameter<DoubleValue>) Parameters["Quality"]; }
    }

    public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
      get { return (ValueLookupParameter<DoubleValue>) Parameters["BestKnownQuality"]; }
    }

    public ValueLookupParameter<IntValue> PopulationSizeParameter {
      get { return (ValueLookupParameter<IntValue>) Parameters["PopulationSize"]; }
    }

    public ValueLookupParameter<IOperator> SelectorParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["Selector"]; }
    }

    public ValueLookupParameter<IOperator> CrossoverParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["Crossover"]; }
    }

    public ValueLookupParameter<PercentValue> MutationProbabilityParameter {
      get { return (ValueLookupParameter<PercentValue>) Parameters["MutationProbability"]; }
    }

    public ValueLookupParameter<IOperator> MutatorParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["Mutator"]; }
    }

    public ValueLookupParameter<IOperator> EvaluatorParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["Evaluator"]; }
    }

    public ValueLookupParameter<IntValue> ElitesParameter {
      get { return (ValueLookupParameter<IntValue>) Parameters["Elites"]; }
    }

    public IValueLookupParameter<BoolValue> ReevaluateElitesParameter {
      get { return (IValueLookupParameter<BoolValue>) Parameters["ReevaluateElites"]; }
    }

    public ValueLookupParameter<ResultCollection> ResultsParameter {
      get { return (ValueLookupParameter<ResultCollection>) Parameters["Results"]; }
    }

    public ILookupParameter<ITerminator> TerminatorParameter {
      get { return (ILookupParameter<ITerminator>) Parameters["Terminator"]; }
    }

    public ValueLookupParameter<IOperator> AnalyzerParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["Analyzer"]; }
    }

    public ValueLookupParameter<IOperator> IslandAnalyzerParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["IslandAnalyzer"]; }
    }

    public ValueLookupParameter<IOperator> LayerAnalyzerParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["LayerAnalyzer"]; }
    }

    public ValueLookupParameter<IOperator> GroupAnalyzerParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["GroupAnalyzer"]; }
    }

    public LookupParameter<IntValue> LayerEvaluatedSolutionsParameter {
      get { return (LookupParameter<IntValue>) Parameters[LayerEvaluatedSolutionsParameterName]; }
    }

    public LookupParameter<IntValue> EvaluatedSolutions {
      get { return (LookupParameter<IntValue>) Parameters["EvaluatedSolutions"]; }
    }

    #region island

    public ValueLookupParameter<IntValue> NumberOfIslandsParameter {
      get { return (ValueLookupParameter<IntValue>) Parameters["NumberOfIslands"]; }
    }

    public ValueLookupParameter<IntValue> MigrationIntervalParameter {
      get { return (ValueLookupParameter<IntValue>) Parameters["MigrationInterval"]; }
    }

    public ValueLookupParameter<PercentValue> MigrationRateParameter {
      get { return (ValueLookupParameter<PercentValue>) Parameters["MigrationRate"]; }
    }

    public ValueLookupParameter<IOperator> MigratorParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["Migrator"]; }
    }

    public ValueLookupParameter<IOperator> EmigrantsSelectorParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["EmigrantsSelector"]; }
    }

    public ValueLookupParameter<IOperator> ImmigrationReplacerParameter {
      get { return (ValueLookupParameter<IOperator>) Parameters["ImmigrationReplacer"]; }
    }

    public ValueLookupParameter<BoolValue> Migrate {
      get { return (ValueLookupParameter<BoolValue>) Parameters[MigrateParametername]; }
    }

    public LookupParameter<IntValue> IslandEvaluatedSolutions {
      get { return (LookupParameter<IntValue>) Parameters["IslandEvaluatedSolutions"]; }
    }

    #endregion

    #region alps

    public ILookupParameter<IntValue> CurrentPopulationSizeParameter {
      get { return (ILookupParameter<IntValue>) Parameters["CurrentPopulationSize"]; }
    }

    public IValueLookupParameter<IntValue> NumberOfLayersParameter {
      get { return (IValueLookupParameter<IntValue>) Parameters["NumberOfLayers"]; }
    }

    public IScopeTreeLookupParameter<DoubleValue> AgeParameter {
      get { return (IScopeTreeLookupParameter<DoubleValue>) Parameters["Age"]; }
    }

    public IValueLookupParameter<IntValue> AgeGapParameter {
      get { return (IValueLookupParameter<IntValue>) Parameters["AgeGap"]; }
    }

    public IValueLookupParameter<DoubleValue> AgeInheritanceParameter {
      get { return (IValueLookupParameter<DoubleValue>) Parameters["AgeInheritance"]; }
    }

    public IValueLookupParameter<IntArray> AgeLimitsParameter {
      get { return (IValueLookupParameter<IntArray>) Parameters["AgeLimits"]; }
    }

    public IValueLookupParameter<IntValue> MatingPoolRangeParameter {
      get { return (IValueLookupParameter<IntValue>) Parameters["MatingPoolRange"]; }
    }

    public IValueLookupParameter<BoolValue> ReduceToPopulationSizeParameter {
      get { return (IValueLookupParameter<BoolValue>) Parameters["ReduceToPopulationSize"]; }
    }

    #endregion

    #region OS
    public ILookupParameter<DoubleValue> ComparisonFactorParameter {
      get { return (ILookupParameter<DoubleValue>) Parameters["ComparisonFactor"]; }
    }

    public IValueLookupParameter<DoubleValue> SuccessRatioParameter {
      get { return (IValueLookupParameter<DoubleValue>) Parameters["SuccessRatio"]; }
    }

    public IValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
      get { return (IValueLookupParameter<DoubleValue>) Parameters["MaximumSelectionPressure"]; }
    }

    public IValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
      get { return (IValueLookupParameter<BoolValue>) Parameters["OffspringSelectionBeforeMutation"]; }
    }

    public IValueLookupParameter<BoolValue> FillPopulationWithParentsParameter {
      get { return (IValueLookupParameter<BoolValue>) Parameters["FillPopulationWithParents"]; }
    }

    public ILookupParameter<DoubleValue> CurrentSuccessRatioParameter {
      get { return (ILookupParameter<DoubleValue>) Parameters["CurrentSuccessRatio"]; }
    }

    public ILookupParameter<DoubleValue> SelectionPressureParameter {
      get { return (ILookupParameter<DoubleValue>) Parameters["SelectionPressure"]; }
    }
    #endregion

    #endregion

    private IslandAlpsOffspringSelectionAlgorithmMainLoop(IslandAlpsOffspringSelectionAlgorithmMainLoop original, Cloner cloner) :
      base(original, cloner) {}

    public override IDeepCloneable Clone(Cloner cloner) {
      return new IslandAlpsOffspringSelectionAlgorithmMainLoop(this, cloner);
    }

    public IslandAlpsOffspringSelectionAlgorithmMainLoop() {
      AddParameters();

      #region create Operators

      var globalVariableCreator = new VariableCreator {Name = "Create global values"};
      var islandVarCreatorUssp = new UniformSubScopesProcessor();
      var islandVariableCreator = new VariableCreator {Name = "Initialize Results"};
      var groupVariableCreator = new VariableCreator {Name = "Initialize Group Results"};

      var layerUssp = new UniformSubScopesProcessor();
      var layerVariableCreator = new VariableCreator();

      var initLayerAnalyzerPlaceholder = new Placeholder {Name = "Layer Analyzer (Placeholder)"};
      var initIslandAnalyzerPlaceholder = new Placeholder {Name = "Island Analyzer (Placeholder)"};
      var initGlobalAnalyzerPlacerholder = new Placeholder {Name = "Global Analyzer (Placeholder)"};
      var resultsCollector = new ResultsCollector();

      var processIslandsUssp = new UniformSubScopesProcessor {Name = "Process Islands", Parallel = new BoolValue(true)};
      var initIslandEvaluationsAss = new Assigner {Name = "Init Island Evaluations"};

      var incrementGenerationDr = new IntCounter {Name = "Increment Generations"};
      var incrementEvaluatedSolutionDr = new DataReducer {Name = "Increment Evaluated Solutions"};

      var elderMigrator = CreateEldersEmigrator();
      var newLayerOpener = CreateLayerOpener();
      var reseeder = CreateReseeder();

      var analyzeLayerUssp = new UniformSubScopesProcessor();

      var layerAnalyzerPlaceholder = new Placeholder {Name = "Layer Analyzer (Placeholder)"};
      var layerResultsCollector = new ResultsCollector {Name = "Collect Additional Infos"};
      var islandAnalyzerPlaceholder = new Placeholder {Name = "Island Analyzer (Placeholder)"};
      var islandResultsCollector = new ResultsCollector {Name = "Collect layer results into IslandResults"};

      var globalAnalyzerPlacerholder = new Placeholder {Name = "Global Analyzer (Placeholder)"};

      var groupingOperator = new GroupedLayerOperator {Name = "Grouped Analyzer"};
      var groupAnalyzer = new Placeholder {Name = "Group Analyzer (Placeholder)"};
      var groupResultsExtractor = new ResultsExtractor {Name = "Collect group results into variable"};
      var groupResultsCollector = new ResultsCollector {Name = "Collect group results into into global results"};
      var groupLayerNumberResultsCollector = new ResultsCollector {Name = "Add Layernumber to Results"};

      var matingPoolCreator = new MatingPoolCreator();
      var matingPoolUssp = new UniformSubScopesProcessor {Name = "Process Mating Pools"};
      var alpsMainOperator = new AlpsOffspringSelectionGeneticAlgorithmMainOperator();

      var setIslandEvaluatedSolutions = new DataReducer {Name = "Set IslandEvaluatedSolutions"};

      var migrationThresholdCounter = new IntCounter {Name = "Increment Counter for Migrations"};
      var migrationThresholdAss = new Assigner {Name = "Reset Counter for Migrations"};
      var migrationCounter = new IntCounter {Name = "Increment  Migrations"};
      var selectforMigrationUssp = new UniformSubScopesProcessor();
      var emigrantSelector = new Placeholder {Name = "Emigrant Selector (Placeholder)"};
      var migrator = new LayerMigrator();
      var replaceforMigrationUssp = new UniformSubScopesProcessor();
      var immigrantSelector = new Placeholder {Name = "Immigrant Replacer (Placeholder)"};

      var migrateComparator = new Comparator();
      var migrateCondBranch = new ConditionalBranch {Name = "Migrate?"};

      var terminator = new TerminationOperator();

      #endregion

      globalVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>(GenerationsParametername, new IntValue(1)));
      globalVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>(MigrationsParametername, new IntValue(0)));

      islandVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>(OpenLayersParametername, new IntValue(1)));
      islandVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>(IslandResultsParametername));

      layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>(LayerParametername, new IntValue(0)));
      layerVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>(LayerResultsParametername));
      layerVariableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("SelectionPressure", new DoubleValue(0)));
      layerVariableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("CurrentSuccessRatio", new DoubleValue(0)));

      groupVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>(GroupResultsParametername));
      initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
      initIslandAnalyzerPlaceholder.OperatorParameter.ActualName = IslandAnalyzerParameter.Name;
      initGlobalAnalyzerPlacerholder.OperatorParameter.ActualName = AnalyzerParameter.Name;

      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>(GenerationsParametername));
      resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>(IslandResultsParametername, "", IslandResultsParametername));
      resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>(GroupResultsParametername, "", GroupResultsParametername));
      resultsCollector.CollectedValues.Add(new ValueLookupParameter<IntValue>(MigrationsParametername));
      resultsCollector.CopyValue = new BoolValue(false);

      initIslandEvaluationsAss.LeftSideParameter.ActualName = IslandEvaluatedSolutions.Name;
      initIslandEvaluationsAss.RightSideParameter.Value = new IntValue(0);

      incrementGenerationDr.ValueParameter.ActualName = GenerationsParametername;

      incrementEvaluatedSolutionDr.ParameterToReduce.ActualName = IslandEvaluatedSolutions.Name;
      incrementEvaluatedSolutionDr.TargetParameter.ActualName = EvaluatedSolutions.Name;
      incrementEvaluatedSolutionDr.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
      incrementEvaluatedSolutionDr.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);

      setIslandEvaluatedSolutions.ParameterToReduce.ActualName = LayerEvaluatedSolutionsParameter.Name;
      setIslandEvaluatedSolutions.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
      setIslandEvaluatedSolutions.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);
      setIslandEvaluatedSolutions.TargetParameter.ActualName = IslandEvaluatedSolutions.Name;


      migrationThresholdCounter.ValueParameter.ActualName = MigrationThresholdParametername;

      migrateComparator.Comparison.Value = ComparisonType.GreaterOrEqual;
      migrateComparator.LeftSideParameter.ActualName = MigrationThresholdParametername;
      migrateComparator.RightSideParameter.ActualName = MigrationIntervalParameter.Name;
      migrateComparator.ResultParameter.ActualName = MigrateParametername;

      migrateCondBranch.ConditionParameter.ActualName = MigrateParametername;

      migrationCounter.ValueParameter.ActualName = MigrationsParametername;
      migrationThresholdAss.LeftSideParameter.ActualName = MigrationThresholdParametername;
      migrationThresholdAss.RightSideParameter.Value = new IntValue(0);

      selectforMigrationUssp.Depth = new IntValue(2);
      emigrantSelector.OperatorParameter.ActualName = EmigrantsSelectorParameter.Name;

      replaceforMigrationUssp.Depth = new IntValue(2);
      immigrantSelector.OperatorParameter.ActualName = ImmigrationReplacerParameter.Name;

      groupAnalyzer.OperatorParameter.ActualName = GroupAnalyzerParameter.Name;
      groupLayerNumberResultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("LayerNumber"));
      groupLayerNumberResultsCollector.ResultsParameter.ActualName = GroupResultsParametername;

      layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
      layerResultsCollector.ResultsParameter.ActualName = LayerResultsParametername;
      layerResultsCollector.CollectedValues.Add(new LookupParameter<IntValue>(LayerParametername));
      islandAnalyzerPlaceholder.OperatorParameter.ActualName = IslandAnalyzerParameter.Name;
      islandResultsCollector.ResultsParameter.ActualName = IslandResultsParametername;
      islandResultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>(LayerResultsParametername));
      globalAnalyzerPlacerholder.OperatorParameter.ActualName = AnalyzerParameter.Name;

      groupResultsExtractor.SourceNameParameter.Value = new StringValue("GroupScope");
      groupResultsExtractor.TargetNameParameter.Value = new StringValue(GroupResultsParametername);
      groupResultsCollector.CollectedValues.Add(new LookupParameter<ItemArray<ResultCollection>>(GroupResultsParametername));
      matingPoolCreator.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;

      ParemetrizeMainOperator(alpsMainOperator);

      //flow
      OperatorGraph.InitialOperator = globalVariableCreator;
      globalVariableCreator.Successor = islandVarCreatorUssp;
      islandVarCreatorUssp.Operator = islandVariableCreator;
      islandVariableCreator.Successor = layerUssp;
      layerUssp.Operator = layerVariableCreator;
      layerVariableCreator.Successor = initLayerAnalyzerPlaceholder;
      initLayerAnalyzerPlaceholder.Successor = null;
      layerUssp.Successor = initIslandAnalyzerPlaceholder;
      initLayerAnalyzerPlaceholder.Successor = null;
      islandVarCreatorUssp.Successor = initGlobalAnalyzerPlacerholder;
      initGlobalAnalyzerPlacerholder.Successor = resultsCollector;
      resultsCollector.Successor = processIslandsUssp;
      processIslandsUssp.Operator = initIslandEvaluationsAss;
      initIslandEvaluationsAss.Successor = matingPoolCreator;
      matingPoolCreator.Successor = matingPoolUssp;
      matingPoolUssp.Operator = alpsMainOperator;
      alpsMainOperator.Successor = null;
      matingPoolUssp.Successor = elderMigrator;
      elderMigrator.Successor = newLayerOpener;
      newLayerOpener.Successor = reseeder;
      reseeder.Successor = analyzeLayerUssp;
      analyzeLayerUssp.Operator = layerAnalyzerPlaceholder;
      layerAnalyzerPlaceholder.Successor = layerResultsCollector;
      layerResultsCollector.Successor = null;

      analyzeLayerUssp.Successor = islandAnalyzerPlaceholder;
      islandAnalyzerPlaceholder.Successor = islandResultsCollector;
      islandResultsCollector.Successor = setIslandEvaluatedSolutions;
      setIslandEvaluatedSolutions.Successor = null;

      processIslandsUssp.Successor = incrementGenerationDr;
      incrementGenerationDr.Successor = incrementEvaluatedSolutionDr;
      incrementEvaluatedSolutionDr.Successor = migrationThresholdCounter;

      migrationThresholdCounter.Successor = migrateComparator;

      migrateComparator.Successor = migrateCondBranch;
      migrateCondBranch.FalseBranch = null;
      migrateCondBranch.TrueBranch = migrationThresholdAss;
      migrationThresholdAss.Successor = migrationCounter;

      migrationCounter.Successor = selectforMigrationUssp;
      selectforMigrationUssp.Operator = emigrantSelector;
      emigrantSelector.Successor = null;
      selectforMigrationUssp.Successor = migrator;

      migrator.Successor = replaceforMigrationUssp;
      replaceforMigrationUssp.Operator = immigrantSelector;
      immigrantSelector.Successor = null;
      replaceforMigrationUssp.Successor = null;

      migrateCondBranch.Successor = globalAnalyzerPlacerholder;


      globalAnalyzerPlacerholder.Successor = groupingOperator;
      groupingOperator.Operator = groupAnalyzer;
      groupAnalyzer.Successor = groupLayerNumberResultsCollector;
      groupLayerNumberResultsCollector.Successor = null;
      groupingOperator.Successor = groupResultsExtractor;
      groupResultsExtractor.Successor = groupResultsCollector;
      groupResultsCollector.Successor = terminator;
      terminator.ContinueBranch = processIslandsUssp;
    }

    private void ParemetrizeMainOperator(AlpsOffspringSelectionGeneticAlgorithmMainOperator alpsMainOperator) {
      alpsMainOperator.RandomParameter.ActualName = LayerRandomParameter.Name;
      alpsMainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
      alpsMainOperator.EvaluatedSolutionsParameter.ActualName = LayerEvaluatedSolutionsParameter.Name;
      alpsMainOperator.QualityParameter.ActualName = QualityParameter.Name;
      alpsMainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
      alpsMainOperator.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
      alpsMainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
      alpsMainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
      alpsMainOperator.MutatorParameter.ActualName = MutatorParameter.ActualName;
      alpsMainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
      alpsMainOperator.ElitesParameter.ActualName = ElitesParameter.Name;
      alpsMainOperator.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
      alpsMainOperator.AgeParameter.ActualName = AgeParameter.Name;
      alpsMainOperator.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
      alpsMainOperator.AgeIncrementParameter.Value = new DoubleValue(1.0);

      alpsMainOperator.ComparisonFactorParameter.ActualName = ComparisonFactorParameter.Name;
      alpsMainOperator.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
      alpsMainOperator.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
      alpsMainOperator.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
      alpsMainOperator.FillPopulationWithParentsParameter.ActualName = FillPopulationWithParentsParameter.Name;
      alpsMainOperator.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
      alpsMainOperator.SelectionPressureParameter.ActualName = "SelectionPressure";              
    }

    private void AddParameters() {
      Parameters.Add(new ValueLookupParameter<IRandom>("GlobalRandom", "A pseudo random number generator."));
      Parameters.Add(new ValueLookupParameter<IRandom>("IslandRandom", "A pseudo random number generator."));
      Parameters.Add(new ValueLookupParameter<IRandom>("LayerRandom", "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>("NumberOfLayers", "The number of Layers per Island."));
      Parameters.Add(new ValueLookupParameter<IntValue>("NumberOfIslands", "The number of islands."));
      Parameters.Add(new ValueLookupParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases."));
      Parameters.Add(new ValueLookupParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands."));
      Parameters.Add(new ValueLookupParameter<IOperator>("Migrator", "The migration strategy."));
      Parameters.Add(new ValueLookupParameter<IOperator>("EmigrantsSelector", "Selects the individuals that will be migrated."));
      Parameters.Add(new ValueLookupParameter<IOperator>("ImmigrationReplacer", "Replaces some of the original population with the immigrants."));
      Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population of solutions."));
      Parameters.Add(new ValueLookupParameter<IntValue>("CurrentPopulationSize", "The current size of the population of solutions."));

      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<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 ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions."));
      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<ResultCollection>("Results", "The results collection to store the results."));
      Parameters.Add(new ValueLookupParameter<ITerminator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop"));

      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>("Analyzer", "The operator used to the analyze the islands."));
      Parameters.Add(new ValueLookupParameter<IOperator>("IslandAnalyzer", "The operator used to analyze each island."));
      Parameters.Add(new ValueLookupParameter<IOperator>("LayerAnalyzer", "The operator used to analyze each Layer."));
      Parameters.Add(new ValueLookupParameter<IOperator>("GroupAnalyzer", "The operator used to analyze each Layergroup."));

      Parameters.Add(new LookupParameter<IntValue>(LayerEvaluatedSolutionsParameterName, "The number of times a solution has been evaluated."));
      Parameters.Add(new LookupParameter<IntValue>("IslandEvaluatedSolutions", "The number of times a solution has been evaluated on one island."));
      Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The number of times a solution has been evaluated on one island."));

      Parameters.Add(new ValueLookupParameter<BoolValue>(MigrateParametername, "Migrate the island?"));

      Parameters.Add(new LookupParameter<DoubleValue>("ComparisonFactor", "The comparison factor is used to determine whether the offspring should be compared to the better parent, the worse parent or a quality value linearly interpolated between them. It is in the range [0;1]."));
      Parameters.Add(new ValueLookupParameter<DoubleValue>("SuccessRatio", "The ratio of successful to total children that should be achieved."));
      Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumSelectionPressure", "The maximum selection pressure that terminates the algorithm."));
      Parameters.Add(new ValueLookupParameter<BoolValue>("OffspringSelectionBeforeMutation", "True if the offspring selection step should be applied before mutation, false if it should be applied after mutation."));
      Parameters.Add(new ValueLookupParameter<BoolValue>("FillPopulationWithParents", "True if the population should be filled with parent individual or false if worse children should be used when the maximum selection pressure is exceeded.",new BoolValue(false)));

      Parameters.Add(new LookupParameter<DoubleValue>("CurrentSuccessRatio", "The current success ratio."));
      Parameters.Add(new LookupParameter<DoubleValue>("SelectionPressure", "The actual selection pressure."));
    }

    private CombinedOperator CreateEldersEmigrator() {
      var eldersEmigrator = new CombinedOperator {Name = "Emigrate Elders"};
      var selectorProsessor = new UniformSubScopesProcessor();
      var eldersSelector = new EldersSelector();
      var shiftToRightMigrator = new UnidirectionalRingMigrator {Name = "Shift elders to next layer"};
      var mergingProsessor = new UniformSubScopesProcessor();
      var mergingReducer = new MergingReducer();
      var subScopesCounter = new SubScopesCounter();
      var reduceToPopulationSizeBranch = new ConditionalBranch {Name = "ReduceToPopulationSize?"};
      var countCalculator = new ExpressionCalculator {Name = "CurrentPopulationSize = Min(CurrentPopulationSize, PopulationSize)"};
      var bestSelector = new BestSelector();
      var rightReducer = new RightReducer();

      eldersEmigrator.OperatorGraph.InitialOperator = selectorProsessor;

      selectorProsessor.Operator = eldersSelector;
      selectorProsessor.Successor = shiftToRightMigrator;

      eldersSelector.AgeParameter.ActualName = AgeParameter.Name;
      eldersSelector.AgeLimitsParameter.ActualName = AgeLimitsParameter.Name;
      eldersSelector.NumberOfLayersParameter.ActualName = NumberOfLayersParameter.Name;
      eldersSelector.LayerParameter.ActualName = "Layer";
      eldersSelector.Successor = null;

      shiftToRightMigrator.ClockwiseMigrationParameter.Value = new BoolValue(true);
      shiftToRightMigrator.Successor = mergingProsessor;

      mergingProsessor.Operator = mergingReducer;

      mergingReducer.Successor = subScopesCounter;

      subScopesCounter.ValueParameter.ActualName = CurrentPopulationSizeParameter.Name;
      subScopesCounter.AccumulateParameter.Value = new BoolValue(false);
      subScopesCounter.Successor = reduceToPopulationSizeBranch;

      reduceToPopulationSizeBranch.ConditionParameter.ActualName = ReduceToPopulationSizeParameter.Name;
      reduceToPopulationSizeBranch.TrueBranch = countCalculator;

      countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(PopulationSizeParameter.Name));
      countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(CurrentPopulationSizeParameter.Name));
      countCalculator.ExpressionParameter.Value = new StringValue("CurrentPopulationSize PopulationSize CurrentPopulationSize PopulationSize < if toint");
      countCalculator.ExpressionResultParameter.ActualName = CurrentPopulationSizeParameter.Name;
      countCalculator.Successor = bestSelector;

      bestSelector.NumberOfSelectedSubScopesParameter.ActualName = CurrentPopulationSizeParameter.Name;
      bestSelector.CopySelected = new BoolValue(false);
      bestSelector.Successor = rightReducer;

      return eldersEmigrator;
    }


    private CombinedOperator CreateLayerOpener() {
      var layerOpener = new CombinedOperator {Name = "Open new Layer if needed"};
      var maxLayerReached = new Comparator {Name = "MaxLayersReached = OpenLayers >= NumberOfLayers"};
      var maxLayerReachedBranch = new ConditionalBranch {Name = "MaxLayersReached?"};
      var openNewLayerCalculator = new ExpressionCalculator {Name = "OpenNewLayer = Generations >= AgeLimits[OpenLayers - 1]"};
      var openNewLayerBranch = new ConditionalBranch {Name = "OpenNewLayer?"};
      var layerCreator = new LastLayerCloner {Name = "Create Layer"};
      var updateLayerNumber = new Assigner {Name = "Layer = OpenLayers"};
      var historyWiper = new ResultsHistoryWiper {Name = "Clear History in Results"};
      var evaluatedSolutionsWiper = new Assigner() { Name = "Clear evaluated Solutions" };
      var createChildrenViaCrossover = new AlpsOffspringSelectionGeneticAlgorithmMainOperator();
      var incrEvaluatedSolutionsForNewLayer = new SubScopesCounter {Name = "Update EvaluatedSolutions"};
      var incrOpenLayers = new IntCounter {Name = "Incr. OpenLayers"};
      var newLayerResultsCollector = new ResultsCollector {Name = "Collect new Layer Results"};

      layerOpener.OperatorGraph.InitialOperator = maxLayerReached;

      maxLayerReached.LeftSideParameter.ActualName = "OpenLayers";
      maxLayerReached.RightSideParameter.ActualName = NumberOfLayersParameter.Name;
      maxLayerReached.ResultParameter.ActualName = "MaxLayerReached";
      maxLayerReached.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
      maxLayerReached.Successor = maxLayerReachedBranch;

      maxLayerReachedBranch.ConditionParameter.ActualName = "MaxLayerReached";
      maxLayerReachedBranch.FalseBranch = openNewLayerCalculator;

      openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntArray>(AgeLimitsParameter.Name));
      openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
      openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>(NumberOfLayersParameter.Name));
      openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
      openNewLayerCalculator.ExpressionResultParameter.ActualName = "OpenNewLayer";
      openNewLayerCalculator.ExpressionParameter.Value = new StringValue("Generations 1 + AgeLimits OpenLayers 1 - [] >");
      openNewLayerCalculator.Successor = openNewLayerBranch;

      openNewLayerBranch.ConditionParameter.ActualName = "OpenNewLayer";
      openNewLayerBranch.TrueBranch = layerCreator;

      layerCreator.NewLayerOperator = updateLayerNumber;
      layerCreator.Successor = incrOpenLayers;

      updateLayerNumber.LeftSideParameter.ActualName = "Layer";
      updateLayerNumber.RightSideParameter.ActualName = "OpenLayers";
      updateLayerNumber.Successor = historyWiper;

      historyWiper.ResultsParameter.ActualName = "LayerResults";
      historyWiper.Successor = evaluatedSolutionsWiper;
      evaluatedSolutionsWiper.LeftSideParameter.ActualName = LayerEvaluatedSolutionsParameterName;
      evaluatedSolutionsWiper.RightSideParameter.Value = new IntValue(0);
      evaluatedSolutionsWiper.Successor = createChildrenViaCrossover;

      // Maybe use only crossover and no elitism instead of "default operator"
      createChildrenViaCrossover.RandomParameter.ActualName = LayerRandomParameter.Name;
      createChildrenViaCrossover.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
      createChildrenViaCrossover.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
      createChildrenViaCrossover.QualityParameter.ActualName = QualityParameter.Name;
      createChildrenViaCrossover.MaximizationParameter.ActualName = MaximizationParameter.Name;
      createChildrenViaCrossover.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
      createChildrenViaCrossover.SelectorParameter.ActualName = SelectorParameter.Name;
      createChildrenViaCrossover.CrossoverParameter.ActualName = CrossoverParameter.Name;
      createChildrenViaCrossover.MutatorParameter.ActualName = MutatorParameter.ActualName;
      createChildrenViaCrossover.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
      createChildrenViaCrossover.ElitesParameter.ActualName = ElitesParameter.Name;
      createChildrenViaCrossover.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
      createChildrenViaCrossover.ComparisonFactorParameter.ActualName = ComparisonFactorParameter.Name;
      createChildrenViaCrossover.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
      createChildrenViaCrossover.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
      createChildrenViaCrossover.SelectionPressureParameter.ActualName = "SelectionPressure";
      createChildrenViaCrossover.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
      createChildrenViaCrossover.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
      createChildrenViaCrossover.FillPopulationWithParentsParameter.ActualName = FillPopulationWithParentsParameter.Name;
      createChildrenViaCrossover.AgeParameter.ActualName = AgeParameter.Name;
      createChildrenViaCrossover.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
      createChildrenViaCrossover.AgeIncrementParameter.Value = new DoubleValue(0.0);
      createChildrenViaCrossover.Successor = incrEvaluatedSolutionsForNewLayer;

      incrEvaluatedSolutionsForNewLayer.ValueParameter.ActualName = LayerEvaluatedSolutionsParameter.Name;
      incrEvaluatedSolutionsForNewLayer.AccumulateParameter.Value = new BoolValue(true);

      incrOpenLayers.ValueParameter.ActualName = "OpenLayers";
      incrOpenLayers.Increment = new IntValue(1);
      incrOpenLayers.Successor = newLayerResultsCollector;

      newLayerResultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each layer", "LayerResults"));
      newLayerResultsCollector.CopyValue = new BoolValue(false);
      newLayerResultsCollector.Successor = null;

      return layerOpener;
    }

    private CombinedOperator CreateReseeder() {
      var reseeder = new CombinedOperator {Name = "Reseed Layer Zero if needed"};
      var reseedingController = new ReseedingController {Name = "Reseeding needed (Generation % AgeGap == 0)?"};
      var removeIndividuals = new SubScopesRemover();
      var createIndividuals = new SolutionsCreator();
      var initializeAgeProsessor = new UniformSubScopesProcessor();
      var initializeAge = new VariableCreator {Name = "Initialize Age"};
      var incrEvaluatedSolutionsAfterReseeding = new SubScopesCounter {Name = "Update EvaluatedSolutions"};

      reseeder.OperatorGraph.InitialOperator = reseedingController;

      reseedingController.GenerationsParameter.ActualName = "Generations";
      reseedingController.AgeGapParameter.ActualName = AgeGapParameter.Name;
      reseedingController.FirstLayerOperator = removeIndividuals;
      reseedingController.Successor = null;

      removeIndividuals.Successor = createIndividuals;

      createIndividuals.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
      createIndividuals.Successor = initializeAgeProsessor;

      initializeAgeProsessor.Operator = initializeAge;
      initializeAgeProsessor.Successor = incrEvaluatedSolutionsAfterReseeding;

      initializeAge.CollectedValues.Add(new ValueParameter<DoubleValue>(AgeParameter.Name, new DoubleValue(0)));

      incrEvaluatedSolutionsAfterReseeding.ValueParameter.ActualName = LayerEvaluatedSolutionsParameter.Name;
      incrEvaluatedSolutionsAfterReseeding.AccumulateParameter.Value = new BoolValue(true);

      return reseeder;
    }


  }
}