source: branches/IslandALPS/IslandALPS/3.3/IslandALPSAlgorithm.cs @ 13781

using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Algorithms.ALPS;
using HeuristicLab.Analysis;
using HeuristicLab.Collections;
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.PluginInfrastructure;
using HeuristicLab.Random;
using HeuristicLab.Selection;

namespace HeuristicLab.Algorithms.IslandALPS {
  [Item("IslandALPS", "An island version of ALPS")]
  [StorableClass]
  [Creatable(CreatableAttribute.Categories.PopulationBasedAlgorithms, Priority = 100)]
  public class IslandAlpsAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
    public string Filename { get; set; }

    #region Problem Properties

    public override Type ProblemType {
      get { return typeof (ISingleObjectiveHeuristicOptimizationProblem); }
    }

    public new ISingleObjectiveHeuristicOptimizationProblem Problem {
      get { return (ISingleObjectiveHeuristicOptimizationProblem) base.Problem; }
      set { base.Problem = value; }
    }

    #endregion

    #region Parameter Properties

    #region ALPSParameter

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

    public IValueParameter<EnumValue<AgingScheme>> AgingSchemeParameter { get { return (IValueParameter<EnumValue<AgingScheme>>) Parameters["AgingScheme"]; } } 
    public IValueParameter<DoubleValue> AgeInheritanceParameter {   get { return (IValueParameter<DoubleValue>) Parameters["AgeInheritance"]; } } 
    public IValueParameter<IntArray> AgeLimitsParameter {   get { return (IValueParameter<IntArray>) Parameters["AgeLimits"]; }   } 
    public IValueParameter<BoolValue> ReduceToPopulationSizeParameter {   get { return (IValueParameter<BoolValue>) Parameters["ReduceToPopulationSize"]; }   } 
    public IValueParameter<IntValue> NumberOfLayersParameter {   get { return (IValueParameter<IntValue>) Parameters["NumberOfLayers"]; } } 
    public IValueParameter<MultiAnalyzer> LayerAnalyzerParameter {   get { return (IValueParameter<MultiAnalyzer>) Parameters["LayerAnalyzer"]; } } 
    public IValueParameter<MultiAnalyzer> GroupAnalyzerParameter {   get { return (IValueParameter<MultiAnalyzer>) Parameters["GroupAnalyzer"]; } } 
    public IValueParameter<BoolValue> PlusSelectionParameter {   get { return (IValueParameter<BoolValue>) Parameters["PlusSelection"]; } } 
    #endregion

    #region IslandParameter

    public IValueParameter<MultiAnalyzer> IslandAnalyzerParameter {   get { return (IValueParameter<MultiAnalyzer>) Parameters["IslandAnalyzer"]; } } 
    public IValueParameter<IntValue> NumberOfIslandsParameter {   get { return (IValueParameter<IntValue>) Parameters["NumberOfIslands"]; } } 
    public IValueParameter<PercentValue> MigrationRateParameter {   get { return (IValueParameter<PercentValue>) Parameters["MigrationRate"]; } } 
    public IValueParameter<IntValue> MigrationIntervalParameter {   get { return (IValueParameter<IntValue>) Parameters["MigrationInterval"]; } } 
    public IConstrainedValueParameter<IMigrator> MigratorParameter {   get { return (IConstrainedValueParameter<IMigrator>) Parameters["Migrator"]; } } 
    public IConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {   get { return (IConstrainedValueParameter<ISelector>) Parameters["EmigrantsSelector"]; } } 
    public IConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {   get { return (IConstrainedValueParameter<IReplacer>) Parameters["ImmigrationReplacer"]; } } 
    #endregion

    #region GeneralParameter

    public IValueParameter<IntValue> SeedParameter {   get { return (IValueParameter<IntValue>) Parameters["Seed"]; } } 
    public IValueParameter<BoolValue> SetSeedRandomlyParameter {   get { return (IValueParameter<BoolValue>) Parameters["SetSeedRandomly"]; } } 
    public IValueParameter<IntValue> PopulationSizeParameter {   get { return (IValueParameter<IntValue>) Parameters["PopulationSize"]; } } 
    public IValueParameter<MultiAnalyzer> AnalyzerParameter {   get { return (IValueParameter<MultiAnalyzer>) Parameters["Analyzer"]; } } 
    public IConstrainedValueParameter<ISelector> SelectorParameter {   get { return (IConstrainedValueParameter<ISelector>) Parameters["Selector"]; } } 
    public IConstrainedValueParameter<ICrossover> CrossoverParameter {   get { return (IConstrainedValueParameter<ICrossover>) Parameters["Crossover"]; } }
    public IValueParameter<PercentValue> MutationProbabilityParameter {   get { return (IValueParameter<PercentValue>) Parameters["MutationProbability"]; } } 
    public IConstrainedValueParameter<IManipulator> MutatorParameter {   get { return (IConstrainedValueParameter<IManipulator>) Parameters["Mutator"]; } }
    public IValueParameter<IntValue> ElitesParameter {   get { return (IValueParameter<IntValue>) Parameters["Elites"]; } }
    public IFixedValueParameter<BoolValue> ReevaluateElitesParameter {   get { return (IFixedValueParameter<BoolValue>) Parameters["ReevaluateElites"]; } }
    public IValueParameter<MultiTerminator> TerminatorParameter {   get { return (IValueParameter<MultiTerminator>) Parameters["Terminator"]; } } 
    #endregion

    #endregion

    #region Properties

    public IntValue Seed {
      get { return SeedParameter.Value; }
      set { SeedParameter.Value = value; }
    }

    public BoolValue SetSeedRandomly {
      get { return SetSeedRandomlyParameter.Value; }
      set { SetSeedRandomlyParameter.Value = value; }
    }

    public IntValue PopulationSize {
      get { return PopulationSizeParameter.Value; }
      set { PopulationSizeParameter.Value = value; }
    }

    public IntValue NumberOfIslands {
      get { return NumberOfIslandsParameter.Value; }
      set { NumberOfIslandsParameter.Value = value; }
    }

    public MultiAnalyzer Analyzer {
      get { return AnalyzerParameter.Value; }
      set { AnalyzerParameter.Value = value; }
    }

    public MultiAnalyzer IslandAnalyzer {
      get { return IslandAnalyzerParameter.Value; }
      set { IslandAnalyzerParameter.Value = value; }
    }

    public MultiAnalyzer LayerAnalyzer {
      get { return LayerAnalyzerParameter.Value; }
      set { LayerAnalyzerParameter.Value = value; }
    }

    public MultiAnalyzer GroupAnalyzer {
      get { return GroupAnalyzerParameter.Value; }
      set { GroupAnalyzerParameter.Value = value; }
    }

    public ISelector Selector {
      get { return SelectorParameter.Value; }
      set { SelectorParameter.Value = value; }
    }

    public ICrossover Crossover {
      get { return CrossoverParameter.Value; }
      set { CrossoverParameter.Value = value; }
    }

    public PercentValue MutationProbability {
      get { return MutationProbabilityParameter.Value; }
      set { MutationProbabilityParameter.Value = value; }
    }

    public IManipulator Mutator {
      get { return MutatorParameter.Value; }
      set { MutatorParameter.Value = value; }
    }

    public IntValue Elites {
      get { return ElitesParameter.Value; }
      set { ElitesParameter.Value = value; }
    }

    public bool ReevaluteElites {
      get { return ReevaluateElitesParameter.Value.Value; }
      set { ReevaluateElitesParameter.Value.Value = value; }
    }

    public MultiTerminator Terminators {
      get { return TerminatorParameter.Value; }
    }

    public EnumValue<AgingScheme> AgingScheme {
      get { return AgingSchemeParameter.Value; }
      set { AgingSchemeParameter.Value = value; }
    }

    public IntValue AgeGap {
      get { return AgeGapParameter.Value; }
      set { AgeGapParameter.Value = value; }
    }

    public DoubleValue AgeInheritance {
      get { return AgeInheritanceParameter.Value; }
      set { AgeInheritanceParameter.Value = value; }
    }

    public IntArray AgeLimits {
      get { return AgeLimitsParameter.Value; }
      set { AgeLimitsParameter.Value = value; }
    }

    public IntValue NumberOfLayers {
      get { return NumberOfLayersParameter.Value; }
      set { NumberOfLayersParameter.Value = value; }
    }

    #endregion

    #region Helper Properties

    private IslandAlpsAlgorithmMainLoop MainLoop {
      get { return OperatorGraph.Iterate().OfType<IslandAlpsAlgorithmMainLoop>().First(); }
    }

    private SolutionsCreator SolutionsCreator {
      get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
    }

    #endregion

    #region Preconfigured Terminators

    [Storable] private readonly ComparisonTerminator<IntValue> generationsTerminator;
    [Storable] private readonly ComparisonTerminator<IntValue> evaluationsTerminator;
    [Storable] private readonly SingleObjectiveQualityTerminator qualityTerminator;
    [Storable] private readonly ExecutionTimeTerminator executionTimeTerminator;

    #endregion

    #region Preconfigured Analyzers

    [Storable] private readonly BestAverageWorstQualityAnalyzer qualityAnalyzer;
    [Storable] private readonly BestAverageWorstQualityAnalyzer islandQualityAnalyzer;
    [Storable] private readonly BestAverageWorstQualityAnalyzer layerQualityAnalyzer;
    [Storable] private readonly BestAverageWorstQualityAnalyzer groupQualityAnalyzer;

    #endregion

    #region Constructors

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

    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      InitializeEventHandler();
    }

    private IslandAlpsAlgorithm(IslandAlpsAlgorithm original, Cloner cloner)
      : base(original, cloner) {
      //clone Properties

      //analyzer
      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
      islandQualityAnalyzer = cloner.Clone(original.islandQualityAnalyzer);
      layerQualityAnalyzer = cloner.Clone(original.layerQualityAnalyzer);
      groupQualityAnalyzer = cloner.Clone(original.groupQualityAnalyzer);
      //terminator
      generationsTerminator = cloner.Clone(original.generationsTerminator);
      evaluationsTerminator = cloner.Clone(original.evaluationsTerminator);
      qualityTerminator = cloner.Clone(original.qualityTerminator);
      executionTimeTerminator = cloner.Clone(original.executionTimeTerminator);

      InitializeEventHandler();
    }

    public IslandAlpsAlgorithm() {
    
      AddParameters();

      #region create Operators

      var globalRandomCreator = new RandomCreator();
      var islandLayerCreator = new SubScopesCreator {Name = "Create Islands"};
      var islandUssp = new UniformSubScopesProcessor();
      var islandRandomCreator = new LocalRandomCreator();
      var layerZeroCreator = new SubScopesCreator {Name = "Create Layer 0"};
      var layerZeroUssp = new UniformSubScopesProcessor();
      var layerRandomCreator = new LocalRandomCreator();
      var islandSolutionsCounter = new DataReducer {Name = "Count IslandSolutions"};
      var layerSolutionCreator = new SolutionsCreator();
      var ageInitializerUssp = new UniformSubScopesProcessor();
      var ageInitializerVc = new VariableCreator {Name = "Initialize Age"};
      var evaluatedSolutionsVc = new VariableCreator {Name = "Create LayerEvaluatedSolutions"};
      var evaluatedSolutionsCounter = new SubScopesCounter {Name = "Count LayerEvaluatedSolutions"};
      var globalEvaluatedSolutionsCounter = new DataReducer {Name = "Count GlobalSolutions"};
      var resultsCollector = new ResultsCollector();
      var mainLoop = new IslandAlpsAlgorithmMainLoop();

      #endregion

      #region Set selectors

      var selectors = ApplicationManager.Manager.GetInstances<ISelector>()
                                        .Where(s => !(s is IMultiObjectiveSelector))
                                        .OrderBy(s => Name);
      foreach (var selector in selectors)
        SelectorParameter.ValidValues.Add(selector);

      var defaultSelector = SelectorParameter.ValidValues.OfType<GeneralizedRankSelector>().FirstOrDefault();
      if (defaultSelector != null) {
        defaultSelector.PressureParameter.Value = new DoubleValue(4.0);
        SelectorParameter.Value = defaultSelector;
      }

      #endregion

      #region Create Analyzers
      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
      islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
      layerQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
      groupQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
      #endregion

      #region Create terminators

      generationsTerminator = new ComparisonTerminator<IntValue>("Generations", ComparisonType.Less, new IntValue(1000)) { Name = "Generations" };
      evaluationsTerminator = new ComparisonTerminator<IntValue>("EvaluatedSolutions", ComparisonType.Less, new IntValue(int.MaxValue)) {Name = "Evaluations"};
      qualityTerminator = new SingleObjectiveQualityTerminator {Name = "Quality"};
      executionTimeTerminator = new ExecutionTimeTerminator(this, new TimeSpanValue(TimeSpan.FromMinutes(5)));

      #endregion

      #region Operator Graph

      globalRandomCreator.RandomParameter.ActualName = "GlobalRandom";
      globalRandomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
      globalRandomCreator.SetSeedRandomlyParameter.Value = null;
      globalRandomCreator.SeedParameter.ActualName = SeedParameter.Name;
      globalRandomCreator.SeedParameter.Value = null;

      //create islands
      islandLayerCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;

      islandRandomCreator.GlobalRandomParameter.ActualName = globalRandomCreator.RandomParameter.ActualName;
      islandRandomCreator.LocalRandomParameter.ActualName = "IslandRandom";

      layerZeroCreator.NumberOfSubScopesParameter.Value = new IntValue(1);

      islandSolutionsCounter.ParameterToReduce.Depth = 1;
      islandSolutionsCounter.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
      islandSolutionsCounter.TargetParameter.ActualName = "IslandEvaluatedSolutions";
      islandSolutionsCounter.ReductionOperation.Value.Value = ReductionOperations.Sum;
      islandSolutionsCounter.TargetOperation.Value.Value = ReductionOperations.Assign;

      layerRandomCreator.GlobalRandomParameter.ActualName = globalRandomCreator.RandomParameter.ActualName;
      layerRandomCreator.LocalRandomParameter.ActualName = "LayerRandom";

      layerSolutionCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
      layerSolutionCreator.ParallelParameter.Value = new BoolValue(true);

      ageInitializerVc.CollectedValues.Add(new ValueParameter<DoubleValue>("Age", new DoubleValue(0)));

      evaluatedSolutionsVc.CollectedValues.Add(new ValueParameter<IntValue>("LayerEvaluatedSolutions", new IntValue(0)));

      evaluatedSolutionsCounter.ValueParameter.ActualName = "LayerEvaluatedSolutions";

      globalEvaluatedSolutionsCounter.ParameterToReduce.Depth = 1;
      globalEvaluatedSolutionsCounter.ParameterToReduce.ActualName = "IslandEvaluatedSolutions";
      globalEvaluatedSolutionsCounter.TargetParameter.ActualName = "EvaluatedSolutions";
      globalEvaluatedSolutionsCounter.ReductionOperation.Value.Value = ReductionOperations.Sum;
      globalEvaluatedSolutionsCounter.TargetOperation.Value.Value = ReductionOperations.Assign;

      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("EvaluatedSolutions"));

      //flow
      OperatorGraph.InitialOperator = globalRandomCreator;
      globalRandomCreator.Successor = islandLayerCreator;
      islandLayerCreator.Successor = islandUssp;
      islandUssp.Operator = islandRandomCreator;
      islandRandomCreator.Successor = layerZeroCreator;
      layerZeroCreator.Successor = layerZeroUssp;
      layerZeroUssp.Operator = layerRandomCreator;
      layerRandomCreator.Successor = layerSolutionCreator;
      layerSolutionCreator.Successor = ageInitializerUssp;
      ageInitializerUssp.Operator = ageInitializerVc;
      ageInitializerVc.Successor = null;
      ageInitializerUssp.Successor = evaluatedSolutionsVc;
      evaluatedSolutionsVc.Successor = evaluatedSolutionsCounter;
      evaluatedSolutionsCounter.Successor = null;
      layerZeroUssp.Successor = islandSolutionsCounter;
      islandSolutionsCounter.Successor = null;
      islandUssp.Successor = globalEvaluatedSolutionsCounter;
      globalEvaluatedSolutionsCounter.Successor = resultsCollector;
      resultsCollector.Successor = mainLoop;

      #endregion

      #region parametrize

      UpdateAnalyzers();
      ParameterizeAnalyzers();

      ParameterizeSelectors();
      UpdateTerminators();
      ParameterizeAgeLimits();
      ParametrizeMigration();

      #endregion

      InitializeEventHandler();
    }

    private void AddParameters() {
      #region ALPSParameter

      Parameters.Add(new ValueParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers.", new IntValue(20)));
      Parameters.Add(new ValueParameter<DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent.", new DoubleValue(1)));
      Parameters.Add(new ValueParameter<IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer.", new IntArray(new int[0])) {Hidden = true});
      Parameters.Add(new ValueParameter<EnumValue<AgingScheme>>("AgingScheme", "The aging scheme for setting the age-limits for the layers.", new EnumValue<AgingScheme>(ALPS.AgingScheme.Polynomial)));
      Parameters.Add(new ValueParameter<BoolValue>("ReduceToPopulationSize", ".", new BoolValue(true)));

      Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "", new IntValue(10000)));
      Parameters.Add(new ValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
      Parameters.Add(new ValueParameter<MultiAnalyzer>("GroupAnalyzer", "The operator used to analyze each layergroup.", new MultiAnalyzer()));
      Parameters.Add(new ValueParameter<BoolValue>("PlusSelection", "Include the parents in the selection of the invividuals for the next generation.", new BoolValue(false)));

      #endregion

      #region IslandParameter

      Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
      Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "How many individuals should migrate.", new PercentValue(0.15)));
      Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number Generations before a migration occurs.", new IntValue(20)));
      Parameters.Add(new ValueParameter<MultiAnalyzer>("IslandAnalyzer", "The operator used to analyze each island.", new MultiAnalyzer()));
      Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
      Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
      Parameters.Add(new ConstrainedValueParameter<IReplacer>("ImmigrationReplacer", "Selects the population from the unification of the original population and the immigrants."));

      #endregion

      #region GeneralParameter   

      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 ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
      Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) {Hidden = true});
      Parameters.Add(new ValueParameter<MultiTerminator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop.", new MultiTerminator()));

      #endregion
    }


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

    #endregion

    #region events

    protected override void RegisterProblemEvents() {
      base.RegisterProblemEvents();
      var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
      if (maximizationParameter != null) maximizationParameter.ValueChanged += MaximizationParameter_ValueChanged;
    }
    protected override void DeregisterProblemEvents() {
      var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
      if (maximizationParameter != null) maximizationParameter.ValueChanged -= MaximizationParameter_ValueChanged;
      base.DeregisterProblemEvents();
    }

    protected override void OnProblemChanged() {
      base.OnProblemChanged();
      ParameterizeStochasticOperator(Problem.SolutionCreator);
      ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
      foreach (var op in Problem.Operators.OfType<IOperator>()) {
        ParameterizeStochasticOperator(op);
      }

      ParameterizeSolutionsCreator();
      ParameterizeMainLoop();
      ParameterizeSelectors();
      ParameterizeAnalyzers();
      ParameterizeTerminators();
      ParameterizeIterationBasedOperators();

      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;

      UpdateAnalyzers();
      UpdateCrossovers();
      UpdateMutators();
      UpdateTerminators();
    }

    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
      base.Problem_SolutionCreatorChanged(sender, e);

      ParameterizeStochasticOperator(Problem.SolutionCreator);
      ParameterizeStochasticOperatorForLayer(Problem.Evaluator);

      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;

      ParameterizeSolutionsCreator();
      ParameterizeAnalyzers();
    }
    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
      base.Problem_EvaluatorChanged(sender, e);

      ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
      ParameterizeSolutionsCreator();
      ParameterizeMainLoop();
      ParameterizeSelectors();
      ParameterizeAnalyzers();
      ParameterizeTerminators();

      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;

      UpdateAnalyzers();
      UpdateCrossovers();
      UpdateMutators();
      UpdateTerminators();
    }
    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
      base.Problem_OperatorsChanged(sender, e);
      ParameterizeIterationBasedOperators();
      UpdateCrossovers();
      UpdateMutators();
      UpdateAnalyzers();
      UpdateTerminators();
    }

    private void GroupAnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
      foreach (var analyzer in e.Items) {
        IParameter resultParameter;
        if (analyzer.Value.Parameters.TryGetValue("Results", out resultParameter)) {
          var lookupParameter = resultParameter as ILookupParameter;
          if (lookupParameter != null)
            lookupParameter.ActualName = "GroupResults";
        }
        foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
          parameter.Depth = 1;
        }
      }
    }
    private void IslandAnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
      foreach (var analyzer in e.Items) {
        IParameter resultParameter;
        if (analyzer.Value.Parameters.TryGetValue("Results", out resultParameter)) {
          var lookupParameter = resultParameter as ILookupParameter;
          if (lookupParameter != null)
            lookupParameter.ActualName = "IslandResults";
        }
        foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
          parameter.Depth = 2;
        }
      }
    }
    private void LayerAnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
      foreach (var analyzer in e.Items) {
        IParameter resultParameter;
        if (analyzer.Value.Parameters.TryGetValue("Results", out resultParameter)) {
          var lookupParameter = resultParameter as ILookupParameter;
          if (lookupParameter != null)
            lookupParameter.ActualName = "LayerResults";
        }
        foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
          parameter.Depth = 1;
        }
      }
    }
    private void AnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
      foreach (var analyzer in e.Items) {
        foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
          parameter.Depth = 3;
        }
      }
    }

    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
      ParameterizeMainLoop();
      ParameterizeSelectors();
      ParameterizeAnalyzers();
    }
    private void MaximizationParameter_ValueChanged(object sender, EventArgs e) {
      ParameterizeTerminators();
    }
    private void QualityAnalyzer_CurrentBestQualityParameter_NameChanged(object sender, EventArgs e) {
      ParameterizeTerminators();
    }
    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
      ParameterizeSelectors();
    }

    private void Elites_ValueChanged(object sender, EventArgs e) {
      ParameterizeSelectors();
    }

    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
      ParameterizeSelectors();
    }

    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
      ParameterizeSelectors();
      ParametrizeMigration();
    }

    private void NumberOfLayersParameter_ValueChanged(object sender, EventArgs e) {
      NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
      ParameterizeAgeLimits();
    }
    private void NumberOfLayers_ValueChanged(object sender, EventArgs e) {
      ParameterizeAgeLimits();
    }

    private void AgeGapParameter_ValueChanged(object sender, EventArgs e) {
      AgeGap.ValueChanged += AgeGap_ValueChanged;
      ParameterizeAgeLimits();
    }

    private void AgeGap_ValueChanged(object sender, EventArgs e) {
      ParameterizeAgeLimits();
    }

    private void AgingSchemeParameter_ValueChanged(object sender, EventArgs e) {
      AgingScheme.ValueChanged += AgingScheme_ValueChanged;
      ParameterizeAgeLimits();
    }
    private void AgingScheme_ValueChanged(object sender, EventArgs e) {
      ParameterizeAgeLimits();
    }

    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
      ParametrizeMigration();
    }

    #endregion

    #region Update Functions

    private void UpdateCrossovers() {
      var oldCrossover = CrossoverParameter.Value;
      var defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
      CrossoverParameter.ValidValues.Clear();
      foreach (var crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name)) {
        ParameterizeStochasticOperatorForLayer(crossover);
        CrossoverParameter.ValidValues.Add(crossover);
      }
      if (oldCrossover != null) {
        var crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
        if (crossover != null) CrossoverParameter.Value = crossover;
        else oldCrossover = null;
      }
      if (oldCrossover == null && defaultCrossover != null)
        CrossoverParameter.Value = defaultCrossover;
    }

    private void UpdateMutators() {
      var oldMutator = MutatorParameter.Value;
      MutatorParameter.ValidValues.Clear();
      foreach (var mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name)) {
        ParameterizeStochasticOperatorForLayer(mutator);
        MutatorParameter.ValidValues.Add(mutator);
      }
      if (oldMutator != null) {
        var mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
        if (mutator != null) MutatorParameter.Value = mutator;
      }
    }

    private void UpdateAnalyzers() {
      LayerAnalyzer.Operators.Clear();
      IslandAnalyzer.Operators.Clear();
      GroupAnalyzer.Operators.Clear();
      Analyzer.Operators.Clear();

      //add analyzer
      GroupAnalyzer.Operators.Add(groupQualityAnalyzer, false);
      LayerAnalyzer.Operators.Add(layerQualityAnalyzer, false);
      IslandAnalyzer.Operators.Add(islandQualityAnalyzer, false);
      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
      //depth for each analyzer gets set when added
      if (Problem != null) {
        foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
          IslandAnalyzer.Operators.Add((IAnalyzer) analyzer.Clone(), false);
          LayerAnalyzer.Operators.Add((IAnalyzer) analyzer.Clone(), false);
          GroupAnalyzer.Operators.Add((IAnalyzer) analyzer.Clone(), false);
        }
      }
    }

    private void UpdateTerminators() {
      var newTerminators = new Dictionary<ITerminator, bool> {
        {
          generationsTerminator,
          !Terminators.Operators.Contains(generationsTerminator) ||
          Terminators.Operators.ItemChecked(generationsTerminator)
        }, {
          evaluationsTerminator,
          Terminators.Operators.Contains(evaluationsTerminator) &&
          Terminators.Operators.ItemChecked(evaluationsTerminator)
        }, {
          qualityTerminator,
          Terminators.Operators.Contains(qualityTerminator) && Terminators.Operators.ItemChecked(qualityTerminator)
        }, {
          executionTimeTerminator,
          Terminators.Operators.Contains(executionTimeTerminator) &&
          Terminators.Operators.ItemChecked(executionTimeTerminator)
        }
      };
      if (Problem != null) {
        foreach (var terminator in Problem.Operators.OfType<ITerminator>())
          newTerminators.Add(terminator,
                             !Terminators.Operators.Contains(terminator) || Terminators.Operators.ItemChecked(terminator));
      }

      Terminators.Operators.Clear();

      foreach (var newTerminator in newTerminators)
        Terminators.Operators.Add(newTerminator.Key, newTerminator.Value);
    }

    private void InitializeEventHandler() {
      PopulationSizeParameter.ValueChanged += PopulationSizeParameter_ValueChanged;
      PopulationSize.ValueChanged += PopulationSize_ValueChanged;
      ElitesParameter.ValueChanged += ElitesParameter_ValueChanged;
      Elites.ValueChanged += Elites_ValueChanged;
      MigrationRateParameter.Value.ValueChanged += MigrationRate_ValueChanged;
      MigrationRateParameter.ValueChanged += MigrationRate_ValueChanged;

      Analyzer.Operators.ItemsAdded += AnalyzerOperators_ItemsAdded;
      IslandAnalyzer.Operators.ItemsAdded += IslandAnalyzerOperators_ItemsAdded;
      LayerAnalyzer.Operators.ItemsAdded += LayerAnalyzerOperators_ItemsAdded;
      GroupAnalyzer.Operators.ItemsAdded += GroupAnalyzerOperators_ItemsAdded;

      if (Problem != null) {
        Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
      }

      AgeGapParameter.ValueChanged += AgeGapParameter_ValueChanged;
      AgeGap.ValueChanged += AgeGap_ValueChanged;
      AgingSchemeParameter.ValueChanged += AgingSchemeParameter_ValueChanged;
      AgingScheme.ValueChanged += AgingScheme_ValueChanged;

      NumberOfLayersParameter.ValueChanged += NumberOfLayersParameter_ValueChanged;
      NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
      qualityAnalyzer.CurrentBestQualityParameter.NameChanged += QualityAnalyzer_CurrentBestQualityParameter_NameChanged;

    }
    private void ParameterizeAgeLimits() {
      var scheme = AgingScheme.Value;
      var ageGap = AgeGap.Value;
      var numberOfLayers = NumberOfLayers.Value;
      AgeLimits = scheme.CalculateAgeLimits(ageGap, numberOfLayers);
    }

    private void ParameterizeMainLoop() {
      MainLoop.AgeGapParameter.ActualName = AgeGapParameter.Name;
      MainLoop.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
      MainLoop.AgeLimitsParameter.ActualName = AgeLimitsParameter.Name;
      MainLoop.ReduceToPopulationSizeParameter.ActualName = ReduceToPopulationSizeParameter.Name;
      MainLoop.AgeParameter.ActualName = "Age";
      MainLoop.GlobalRandomParameter.ActualName = "GlobalRandom";
      MainLoop.IslandRandomParameter.ActualName = "IslandRandom";
      MainLoop.LayerRandomParameter.ActualName = "LayerRandom";

      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
      MainLoop.LayerEvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";

      MainLoop.PlusSelectionParameter.ActualName = PlusSelectionParameter.Name;
      MainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
      MainLoop.NumberOfLayersParameter.ActualName = NumberOfLayersParameter.Name;
      MainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
      MainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
      MainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
      MainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;

      MainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
      MainLoop.CurrentPopulationSizeParameter.ActualName = "CurrentPopulationSize";
      MainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
      MainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
      MainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
      MainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
      MainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
      MainLoop.TerminatorParameter.ActualName = TerminatorParameter.Name;

      MainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
      MainLoop.LayerAnalyzerParameter.ActualName = LayerAnalyzerParameter.Name;
      MainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
      MainLoop.GroupAnalyzerParameter.ActualName = GroupAnalyzerParameter.Name;


      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
    }

    private void ParametrizeMigration() {
      var migrationSize = (int)Math.Ceiling(MigrationRateParameter.Value.Value * PopulationSize.Value);
      EmigrantsSelectorParameter.ValidValues.Clear();
      foreach (var selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name)) {
        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(migrationSize);
        selector.NumberOfSelectedSubScopesParameter.Hidden = true;

        ParameterizeStochasticOperatorForLayer(selector);

        EmigrantsSelectorParameter.ValidValues.Add(selector);
      }

      ImmigrationReplacerParameter.ValidValues.Clear();
      foreach (var replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name)) {
        ParameterizeStochasticOperatorForLayer(replacer);
        ImmigrationReplacerParameter.ValidValues.Add(replacer);
      }

      MigratorParameter.ValidValues.Clear();
      MigratorParameter.ValidValues.Add(new LayerMigrator());
    }

    private void ParameterizeSolutionsCreator() {
      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
    }

    private void ParameterizeSelectors() {
      foreach (var selector in SelectorParameter.ValidValues) {
        selector.CopySelected = new BoolValue(true);
        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2*(PopulationSize.Value - Elites.Value));
        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
        ParameterizeStochasticOperatorForLayer(selector);
      }

      if (Problem != null) {
        foreach (var selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
          ParametrizeSingleObjectiveSelector(selector);
        }
        foreach (var replacer in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
          ParametrizeSingleObjectiveSelector(replacer);
        }
        foreach (var selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
          ParametrizeSingleObjectiveSelector(selector);
        }
      }
    }

    private void ParametrizeSingleObjectiveSelector(ISingleObjectiveSelector selector) {
      selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
      selector.MaximizationParameter.Hidden = true;
      selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
      selector.QualityParameter.Hidden = true;
    }

    private void ParameterizeAnalyzers() {
      layerQualityAnalyzer.ResultsParameter.ActualName = "LayerResults";
      layerQualityAnalyzer.ResultsParameter.Hidden = true;

      islandQualityAnalyzer.ResultsParameter.ActualName = "IslandResults";
      islandQualityAnalyzer.ResultsParameter.Hidden = true;

      qualityAnalyzer.ResultsParameter.ActualName = "Results";
      qualityAnalyzer.ResultsParameter.Hidden = true;

      groupQualityAnalyzer.ResultsParameter.ActualName = "GroupResults";
      groupQualityAnalyzer.ResultsParameter.Hidden = true;

      if (Problem != null) {
        SetAnalyzerParameter(layerQualityAnalyzer);
        SetAnalyzerParameter(islandQualityAnalyzer);
        SetAnalyzerParameter(qualityAnalyzer);
        SetAnalyzerParameter(groupQualityAnalyzer);
      }
    }

    private void SetAnalyzerParameter(BestAverageWorstQualityAnalyzer analyzer) {
      analyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
      analyzer.MaximizationParameter.Hidden = true;
      analyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
      analyzer.QualityParameter.Hidden = true;
      analyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
      analyzer.BestKnownQualityParameter.Hidden = true;
    }

    private void ParameterizeTerminators() {
      qualityTerminator.Parameterize(qualityAnalyzer.CurrentBestQualityParameter, Problem);
    }

    private void ParameterizeIterationBasedOperators() {
      if (Problem != null) {
        foreach (var op in Problem.Operators.OfType<IIterationBasedOperator>()) {
          op.IterationsParameter.ActualName = "Generations";
          op.IterationsParameter.Hidden = true;
          op.MaximumIterationsParameter.ActualName = generationsTerminator.ThresholdParameter.Name;
          op.MaximumIterationsParameter.Hidden = true;
        }
      }
    }

    private void ParameterizeStochasticOperator(IOperator op) {
      var stochasticOp = op as IStochasticOperator;
      if (stochasticOp != null) {
        stochasticOp.RandomParameter.ActualName = "GlobalRandom";
        stochasticOp.RandomParameter.Hidden = true;
      }
    }

    private void ParameterizeStochasticOperatorForLayer(IOperator op) {
      var stochasticOp = op as IStochasticOperator;
      if (stochasticOp != null) {
        stochasticOp.RandomParameter.ActualName = "LayerRandom";
        stochasticOp.RandomParameter.Hidden = true;
      }
    }

    #endregion
  }
}