source: branches/FitnessLandscapeAnalysis/HeuristicLab.Analysis.FitnessLandscape/MultiTrajectory/MultiTrajectoryAnalysis.cs @ 7128

using System;
using System.Linq;
using System.Collections.Generic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Encodings.PermutationEncoding;

namespace HeuristicLab.Analysis.FitnessLandscape.MultiTrajectory {

  [Item("Multi Trajectory Analysis", "Host for performing and aggregating several algorithm runs for an overarching analysis.")]
  [Creatable("Analysis")]
  [StorableClass]
  public class MultiTrajectoryAnalysis : ParameterizedNamedItem, IAlgorithm, IStorableContent {

    public IEnumerable<IOptimizer> NestedOptimizers {
      get {
        if (Algorithm != null)
          yield return Algorithm;
        if (SampleGenerationAlgorithm != null)
          yield return SampleGenerationAlgorithm;
      }
    }

    #region Parameters
    public OperatorParameter PreassignedSolutionCreatorParameter {
      get { return (OperatorParameter)Parameters["PreassignedSolutionCreator"]; }
    }
    public ValueParameter<IntValue> NrOfSamplesParameter {
      get { return (ValueParameter<IntValue>)Parameters["NrOfSamples"]; }
    }
    public ValueParameter<BoolValue> SaveIndividualTrailsParameter {
      get { return (ValueParameter<BoolValue>)Parameters["SaveIndividualTrails"]; }
    }
    public ValueParameter<BoolValue> PrepareAfterStopParameter {
      get { return (ValueParameter<BoolValue>)Parameters["PrepareAfterStop"]; }
    }
    public ValueParameter<CheckedItemList<IAggregator>> AggregatorsParameter {
      get { return (ValueParameter<CheckedItemList<IAggregator>>)Parameters["Aggregators"]; }
    }


    #endregion

    #region Parameter Values
    public PreassignedSolutionCreator PreassignedSolutionCreator {
      get { return (PreassignedSolutionCreator)PreassignedSolutionCreatorParameter.Value; }
      set { PreassignedSolutionCreatorParameter.Value = value; }
    }
    public IntValue NrOfSamples {
      get { return NrOfSamplesParameter.Value; }
    }
    public bool SaveIndividualTrails {
      get { return SaveIndividualTrailsParameter.Value.Value; }
    }
    public bool PrepareAfterStop {
      get { return PrepareAfterStopParameter.Value.Value; }
    }
    public CheckedItemList<IAggregator> Aggregators {
      get { return AggregatorsParameter.Value; }
    }
    #endregion

    #region Construction and Cloning
    [StorableConstructor]
    protected MultiTrajectoryAnalysis(bool deserializing)
      : base(deserializing) {
      RegisterEvents();
    }
    protected MultiTrajectoryAnalysis(MultiTrajectoryAnalysis original, Cloner cloner)
      : base(original, cloner) {
      algorithm = cloner.Clone(original.algorithm);
      currentAlgorithm = cloner.Clone(original.currentAlgorithm);
      executionBaseTime = new TimeSpan(original.executionBaseTime.Ticks);
      executionTime = new TimeSpan(original.executionTime.Ticks);
      results = cloner.Clone(original.results);
      running = original.running;
      preparing = original.preparing;
      runs = cloner.Clone(original.runs);
      sampleGenerationAlgorithm = cloner.Clone(original.sampleGenerationAlgorithm);
      StepNr = original.StepNr;
      storeAlgorithmInEachRun = original.storeAlgorithmInEachRun;
      subAlgorithmRuns = cloner.Clone(original.subAlgorithmRuns);
      RegisterEvents();
    }
    public MultiTrajectoryAnalysis() {
      Parameters.Add(new OperatorParameter("PreassignedSolutionCreator", "The operator that creates new solutions"));
      Parameters.Add(new ValueParameter<IntValue>("NrOfSamples", "The number of samples to generate.", new IntValue(10)));
      Parameters.Add(new ValueParameter<BoolValue>("SaveIndividualTrails", "Include all sub algorithm runs in the final run", new BoolValue(true)));
      Parameters.Add(new ValueParameter<BoolValue>("PrepareAfterStop", "Automatically prepare algorithm after stopping to clean global scope and results (for large experiments)", new BoolValue(false)));
      Parameters.Add(new ValueParameter<CheckedItemList<IAggregator>>("Aggregators", "List of aggretators for combining trajectory results.", new CheckedItemList<IAggregator>()));
      currentAlgorithm = null;
      algorithm = null;
      executionBaseTime = new TimeSpan();
      executionTime = new TimeSpan();
      results = new ResultCollection();
      running = false;
      runs = new RunCollection();
      sampleGenerationAlgorithm = null;
      StepNr = -1;
      storeAlgorithmInEachRun = false;
      Aggregators.AddRange(ApplicationManager.Manager.GetInstances<IAggregator>());
      RegisterEvents();
      Prepare();
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new MultiTrajectoryAnalysis(this, cloner);
    }
    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      if (algorithm != null && sampleGenerationAlgorithm != null) {
        if (sampleGenerationAlgorithm.Problem == null) {
          sampleGenerationAlgorithm.Problem = algorithm.Problem;
        } else {
          algorithm.Problem = sampleGenerationAlgorithm.Problem;
        }
      }
      if (!Parameters.ContainsKey("Aggregators"))
        Parameters.Add(new ValueParameter<CheckedItemList<IAggregator>>(
          "Aggregators", "List of aggregators for combining trajectory results.",
          new CheckedItemList<IAggregator>(ApplicationManager.Manager.GetInstances<IAggregator>())));
      RegisterEvents();
    }
    #endregion

    #region Fields & Properties

    public override System.Drawing.Image ItemImage {
      get {
        if (ExecutionState == ExecutionState.Prepared) return HeuristicLab.Common.Resources.VSImageLibrary.ExecutablePrepared;
        else if (ExecutionState == ExecutionState.Started) return HeuristicLab.Common.Resources.VSImageLibrary.ExecutableStarted;
        else if (ExecutionState == ExecutionState.Paused) return HeuristicLab.Common.Resources.VSImageLibrary.ExecutablePaused;
        else if (ExecutionState == ExecutionState.Stopped) return HeuristicLab.Common.Resources.VSImageLibrary.ExecutableStopped;
        else return HeuristicLab.Common.Resources.VSImageLibrary.Event;
      }
    }

    [Storable]
    private RunCollection subAlgorithmRuns;

    public new ParameterCollection Parameters {
      get { return base.Parameters; }
    }

    public Type ProblemType { get { return typeof(IHeuristicOptimizationProblem); } }
    public string Filename { get; set; }

    [Storable]
    private IProblem preliminaryProblem;
    public IProblem Problem {
      get { return preliminaryProblem ?? algorithm.Problem; }
      set {
        if (ExecutionState != ExecutionState.Prepared && ExecutionState != ExecutionState.Stopped)
          throw new InvalidOperationException("Cannot change algorithm while running or paused.");
        if (algorithm == null)
          preliminaryProblem = value;
        else
          algorithm.Problem = value;
      }
    }

    [Storable]
    private IAlgorithm algorithm;
    public IAlgorithm Algorithm {
      get { return algorithm; }
      set {
        if (algorithm == value)
          return;
        if (algorithm != null) {
          DeregisterAlgorithmEvents();
          ReuseOldProblem(algorithm, value);
        }
        algorithm = value;
        if (algorithm != null) {
          SyncAlgorithmProblems(algorithm, sampleGenerationAlgorithm);
          RegisterAlgorithmEvents();
        }
        OnAlgorithmChanged();
      }
    }

    [Storable]
    private IAlgorithm sampleGenerationAlgorithm;
    public IAlgorithm SampleGenerationAlgorithm {
      get { return sampleGenerationAlgorithm; }
      set {
        if (sampleGenerationAlgorithm == value)
          return;
        if (sampleGenerationAlgorithm != null) {
          DeregisterSampleGenerationAlgorithmEvents();
          ReuseOldProblem(sampleGenerationAlgorithm, value);
        }
        sampleGenerationAlgorithm = value;
        if (sampleGenerationAlgorithm != null) {
          SyncAlgorithmProblems(sampleGenerationAlgorithm, algorithm);
          RegisterSampleGenerationAlgorithmEvents();
        }
        OnSampleGenerationAlgorithmChanged();
      }
    }

    private static void ReuseOldProblem(IAlgorithm oldAlgorithm, IAlgorithm newValue) {
      if (oldAlgorithm.Problem != null && newValue != null && newValue.Problem == null)
        newValue.Problem = oldAlgorithm.Problem;
    }

    private void SyncAlgorithmProblems(IAlgorithm newAlgorithm, IAlgorithm otherAlgorithm) {
      if (otherAlgorithm != null) {
        if (otherAlgorithm.Problem != null) {
          newAlgorithm.Problem = otherAlgorithm.Problem;
        } else {
          otherAlgorithm.Problem = newAlgorithm.Problem;
        }
      } else {
        if (preliminaryProblem != null) {
          newAlgorithm.Problem = preliminaryProblem;
          preliminaryProblem = null;
        }
      }
    }

    [Storable]
    private RunCollection runs;
    public RunCollection Runs {
      get { return runs; }
    }

    [Storable]
    private ResultCollection results;
    public ResultCollection Results {
      get { return results; }
    }

    [Storable]
    private bool storeAlgorithmInEachRun;
    public bool StoreAlgorithmInEachRun {
      get { return storeAlgorithmInEachRun; }
      set {
        if (storeAlgorithmInEachRun == value)
          return;
        storeAlgorithmInEachRun = value;
        OnStoreAlgorithmInEachRunChanged();
      }
    }

    [Storable]
    private ExecutionState executionState;
    public ExecutionState ExecutionState {
      get { return executionState; }
      set {
        if (executionState == value)
          return;
        executionState = value;
        OnExecutionStateChanged();
        OnItemImageChanged();
      }
    }

    [Storable]
    private TimeSpan executionBaseTime;
    [Storable]
    private TimeSpan executionTime;
    public TimeSpan ExecutionTime {
      get { return executionTime; }
      set {
        if (executionTime == value)
          return;
        executionTime = value;
        OnExecutionTimeChanged();
      }
    }

    #endregion

    #region Events
    public event EventHandler AlgorithmChanged;
    public event EventHandler SampleGenerationAlgorithmChanged;
    public event EventHandler ProblemChanged;
    public event EventHandler StoreAlgorithmInEachRunChanged;
    public event EventHandler<EventArgs<Exception>> ExceptionOccurred;
    public event EventHandler ExecutionStateChanged;
    public event EventHandler ExecutionTimeChanged;
    public event EventHandler Paused;
    public event EventHandler Prepared;
    public event EventHandler Started;
    public event EventHandler Stopped;

    #region firing
    protected virtual void OnAlgorithmChanged() {
      EventHandler handler = AlgorithmChanged;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnSampleGenerationAlgorithmChanged() {
      EventHandler handler = SampleGenerationAlgorithmChanged;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnProblemChanged() {
      SelectPreassignedSolutionCreator();
      EventHandler handler = ProblemChanged;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }    
    protected virtual void OnStoreAlgorithmInEachRunChanged() {
      EventHandler handler = StoreAlgorithmInEachRunChanged;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnExceptionOccurred(Exception args) {
      EventHandler<EventArgs<Exception>> handler = ExceptionOccurred;
      if (handler != null)
        handler(this, new EventArgs<Exception>(args));
    }
    protected virtual void OnExecutionStateChanged() {
      EventHandler handler = ExecutionStateChanged;
      if (handler != null)
        handler(this, EventArgs.Empty);
      switch (ExecutionState) {
        case ExecutionState.Prepared: OnPrepared(); break;
        case ExecutionState.Started: OnStarted(); break;
        case ExecutionState.Paused: OnPaused(); break;
        case ExecutionState.Stopped: OnStopped(); break;
      }
    }
    protected virtual void OnExecutionTimeChanged() {
      EventHandler handler = ExecutionTimeChanged;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnPaused() {
      EventHandler handler = Paused;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnPrepared() {
      EventHandler handler = Prepared;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnStarted() {
      EventHandler handler = Started;
      if (handler != null)
        handler(this, EventArgs.Empty);
    }
    protected virtual void OnStopped() {
      AggregateResults();
      ClearSubAlgorithms();
      CreateRun();
      EventHandler handler = Stopped;
      if (handler != null)
        handler(this, EventArgs.Empty);
      if (PrepareAfterStop) {
        Prepare();
        executionState = ExecutionState.Stopped;
      }
    }
    #endregion
    #endregion

    public void CollectResultValues(IDictionary<string, IItem> values) {
      values.Add("Execution Time", new TimeSpanValue(ExecutionTime));
      values.Add("Time of Execution", new DateTimeValue(DateTime.Now));
      CollectInnerResults(values, "", results);
    }

    private static void CollectInnerResults(IDictionary<string, IItem> values, string prefix, IEnumerable<IResult> results) {
      foreach (var result in results) {
        var innerResults = result.Value as IEnumerable<IResult>;
        if (innerResults == null)
          values.Add(string.Format("{0}{1}", prefix, result.Name), result.Value);
        else
          CollectInnerResults(values, string.Format("{0}{1}.", prefix, result.Name), innerResults);
      }
    }

    [Storable]
    bool running;

    [Storable]
    bool preparing;

    [Storable]
    private int StepNr;

    [Storable]
    IAlgorithm currentAlgorithm;

    public void Prepare(bool clearRuns) {
      if (clearRuns)
        Runs.Clear();
      Prepare();
    }

    public void Prepare() {
      try {
        preparing = true;
        try {
          if (Algorithm != null) {
            Algorithm.Prepare();
            Algorithm.StoreAlgorithmInEachRun = false;
          }
          if (SampleGenerationAlgorithm != null) {
            SampleGenerationAlgorithm.Prepare();
            SampleGenerationAlgorithm.StoreAlgorithmInEachRun = false;
          }
          ClearSubAlgorithms();
          StepNr = -1;
          ExecutionTime = new TimeSpan();
          executionBaseTime = new TimeSpan();
          results.Clear();
          subAlgorithmRuns = new RunCollection();
          results.Add(new Result("Sub Algorithm Runs", subAlgorithmRuns));
          if (PreassignedSolutionCreator != null) {
            if (PreassignedSolutionCreator.SolutionCollection != null)
              PreassignedSolutionCreator.SolutionCollection.Clear();
            PreassignedSolutionCreator.CurrentSolutionIndex = -1;
          }
          ExecutionState = ExecutionState.Prepared;
        } catch (Exception) { }
      } finally {
        preparing = false;
      }
    }

    public void Pause() {
      try {
        running = false;
        if (currentAlgorithm != null) currentAlgorithm.Pause();
        ExecutionState = ExecutionState.Paused;
      } catch (Exception) { }
    }

    public void Start() {
      running = true;
      ExecutionState = ExecutionState.Started;
      PerformNextStep();
    }

    public void Stop() {
      running = false;
      try {
        if (currentAlgorithm != null) currentAlgorithm.Stop();
      } catch (Exception) { }
    }

    protected virtual void PerformNextStep() {
      PreassignedSolutionCreator.CurrentSolutionIndex = StepNr;
      if (StepNr == -1) {
        currentAlgorithm = SampleGenerationAlgorithm;
        currentAlgorithm.Start();
      } else if (StepNr < NrOfSamples.Value) {
        currentAlgorithm = Algorithm;
        IHeuristicOptimizationProblem problem = Algorithm.Problem as IHeuristicOptimizationProblem;
        if (problem != null) {
          SynchronizeParameters(problem.SolutionCreator, PreassignedSolutionCreator as ISolutionCreator);
          if (PreassignedSolutionCreator != problem.SolutionCreator)
            PreassignedSolutionCreator.OriginalSolutionCreator = problem.SolutionCreator;
          problem.SolutionCreatorParameter.ActualValue = PreassignedSolutionCreator;
        }
        Algorithm.Prepare();
        Algorithm.Runs.Clear();
        Algorithm.Start();
      } else {
        ExecutionState = ExecutionState.Stopped;
      }
    }

    private void ClearSubAlgorithms() {
      if (sampleGenerationAlgorithm != null) {
        sampleGenerationAlgorithm.Results.Clear();
        sampleGenerationAlgorithm.Runs.Clear();
      }
      if (algorithm != null) {
        algorithm.Results.Clear();
        algorithm.Runs.Clear();
      }
    }

    private void AggregateResults() {
      if (subAlgorithmRuns == null)
        return;
      foreach (var aggregator in Aggregators)
        aggregator.Reset();
      foreach (IRun run in subAlgorithmRuns) {
        foreach (var result in run.Results) {
          foreach (var item in Aggregators.CheckedItems)
            item.Value.MaybeAddResult(new Result(result.Key, result.Value));
        }
      }
      foreach (var item in Aggregators.CheckedItems)
        results.Add(item.Value.CreateResult());
    }

    public override void CollectParameterValues(IDictionary<string, IItem> values) {
      base.CollectParameterValues(values);
      values.Add("Algorithm Name", new StringValue(Name));
      values.Add("Algorithm Type", new StringValue(this.GetType().GetPrettyName()));
      if (Problem != null) {
        Problem.CollectParameterValues(values);
        values.Add("Problem Name", new StringValue(Problem.Name));
        values.Add("Problem Type", new StringValue(Problem.GetType().GetPrettyName()));
      }
      CollectPrefixedParameterValues("Sampling", SampleGenerationAlgorithm, values);
      CollectPrefixedParameterValues("Analysis", Algorithm, values);
    }

    private void CollectPrefixedParameterValues(string prefix, IAlgorithm algorithm, IDictionary<string, IItem> values) {
      var innerValues = new Dictionary<string, IItem>();
      algorithm.CollectParameterValues(innerValues);
      foreach (var value in innerValues) {
        values.Add(string.Format("{0}.{1}", prefix, value.Key), value.Value);
      }
    }    

    protected virtual void CreateRun() {
      Run run = new Run(Name, Description, this);
      if (!SaveIndividualTrails)
        run.Results.Remove("Sub Algorithm Runs");
      Runs.Add(run);
    }

    #region Event registry
    private void RegisterEvents() {
      if (algorithm != null)
        RegisterAlgorithmEvents();
      if (sampleGenerationAlgorithm != null)
        RegisterSampleGenerationAlgorithmEvents();
    }
    private void RegisterAlgorithmEvents() {
      algorithm.ExceptionOccurred += algorithm_ExceptionOccurred;
      algorithm.Started += algorithm_Started;
      algorithm.Paused += algorithm_Paused;
      algorithm.Prepared += algorithm_Prepared;
      algorithm.Stopped += algorithm_Stopped;
      algorithm.ExecutionTimeChanged += algorithm_ExecutionTimeChanged;
      algorithm.ExecutionStateChanged += algorithm_ExecutionStateChanged;
      algorithm.Runs.ItemsAdded += Algorithm_Runs_ItemsAdded;
      algorithm.ProblemChanged += algorithm_ProblemChanged;
    }
    private void DeregisterAlgorithmEvents() {
      algorithm.ExceptionOccurred -= algorithm_ExceptionOccurred;
      algorithm.Started -= algorithm_Started;
      algorithm.Paused -= algorithm_Paused;
      algorithm.Prepared -= algorithm_Prepared;
      algorithm.Stopped -= algorithm_Stopped;
      algorithm.ExecutionTimeChanged -= algorithm_ExecutionTimeChanged;
      algorithm.ExecutionStateChanged -= algorithm_ExecutionStateChanged;
      algorithm.Runs.ItemsAdded -= Algorithm_Runs_ItemsAdded;
      algorithm.ProblemChanged -= algorithm_ProblemChanged;
    }
    private void RegisterSampleGenerationAlgorithmEvents() {
      sampleGenerationAlgorithm.ExceptionOccurred += algorithm_ExceptionOccurred;
      sampleGenerationAlgorithm.Started += algorithm_Started;
      sampleGenerationAlgorithm.Paused += algorithm_Paused;
      sampleGenerationAlgorithm.Prepared += algorithm_Prepared;
      sampleGenerationAlgorithm.Stopped += sampleGenerationAlgorithm_Stopped;
      sampleGenerationAlgorithm.ExecutionTimeChanged += sampleGenerationAlgorithm_ExecutionTimeChanged;
      sampleGenerationAlgorithm.ProblemChanged += algorithm_ProblemChanged;
    }
    private void DeregisterSampleGenerationAlgorithmEvents() {
      sampleGenerationAlgorithm.ExceptionOccurred -= algorithm_ExceptionOccurred;
      sampleGenerationAlgorithm.Started -= algorithm_Started;
      sampleGenerationAlgorithm.Paused -= algorithm_Paused;
      sampleGenerationAlgorithm.Prepared -= algorithm_Prepared;
      sampleGenerationAlgorithm.Stopped -= sampleGenerationAlgorithm_Stopped;
      sampleGenerationAlgorithm.ExecutionTimeChanged -= sampleGenerationAlgorithm_ExecutionTimeChanged;
      sampleGenerationAlgorithm.ProblemChanged -= algorithm_ProblemChanged;
    }
    #endregion

    #region Sub Algorithm Event Handling
    void algorithm_ExecutionStateChanged(object sender, EventArgs e) {
      IHeuristicOptimizationProblem problem = Algorithm.Problem as IHeuristicOptimizationProblem;
      if (algorithm.ExecutionState == ExecutionState.Stopped && problem != null && problem.SolutionCreator is PreassignedSolutionCreator)
        problem.SolutionCreatorParameter.ActualValue = ((PreassignedSolutionCreator)problem.SolutionCreator).OriginalSolutionCreator;
    }
    void algorithm_ExecutionTimeChanged(object sender, EventArgs e) {
      ExecutionTime = executionBaseTime + algorithm.ExecutionTime;
    }
    void sampleGenerationAlgorithm_ExecutionTimeChanged(object sender, EventArgs e) {
      ExecutionTime = executionBaseTime + sampleGenerationAlgorithm.ExecutionTime;
    }
    void algorithm_ExceptionOccurred(object sender, EventArgs<Exception> e) {
      OnExceptionOccurred(e.Value);
      ExecutionState = ExecutionState.Paused;
    }
    void algorithm_Started(object sender, EventArgs e) {
      running = true;
      ExecutionState = ExecutionState.Started;
    }
    void algorithm_Paused(object sender, EventArgs e) {
      ExecutionState = ExecutionState.Paused;
    }
    void algorithm_Prepared(object sender, EventArgs e) {
      if (executionState == ExecutionState.Stopped && !preparing)
        Prepare();
    }
    void algorithm_Stopped(object sender, EventArgs e) {
      if (running) {
        executionBaseTime = executionTime + algorithm.ExecutionTime;
        ExecutionTime = executionBaseTime;
        StepNr++;
        PerformNextStep();
      } else {
        ExecutionState = ExecutionState.Stopped;
      }
    }
    void sampleGenerationAlgorithm_Stopped(object sender, EventArgs e) {
      if (running) {
        if (sampleGenerationAlgorithm.Results.ContainsKey("Samples")) {
          IScope scope = sampleGenerationAlgorithm.Results["Samples"].Value as IScope;
          if (scope != null)
            PreassignedSolutionCreator.SolutionCollection = (IScope)scope.Clone();
        }
        executionBaseTime = executionTime + sampleGenerationAlgorithm.ExecutionTime;
        ExecutionTime = executionBaseTime;
        PreassignedSolutionCreator.CurrentSolutionIndex = 0;
        StepNr++;
        PerformNextStep();
      } else {
        ExecutionState = ExecutionState.Stopped;
      }
    }
    void algorithm_ProblemChanged(object sender, EventArgs e) {
      if (sender == algorithm && sampleGenerationAlgorithm != null)
        sampleGenerationAlgorithm.Problem = algorithm.Problem;
      if (sender == sampleGenerationAlgorithm && algorithm != null)
        algorithm.Problem = sampleGenerationAlgorithm.Problem;
      OnProblemChanged();
    }
    void Algorithm_Runs_ItemsAdded(object sender, Collections.CollectionItemsChangedEventArgs<IRun> e) {      
      if (subAlgorithmRuns != null)
        foreach (var run in e.Items) {
          var slimRun = new Run();
          foreach (var result in run.Results)
            slimRun.Results.Add(result);
          subAlgorithmRuns.Add(slimRun);
          slimRun.Name = string.Format("Sub Algorithm Run {0}", subAlgorithmRuns.Count);
        }
    }
    #endregion

    #region Auxiliary Functions
    private static void SynchronizeParameters(IParameterizedItem original, IParameterizedItem copy) {
      foreach (IParameter origParam in original.Parameters) {
        IParameter copyParam = null;
        if (copy.Parameters.TryGetValue(origParam.Name, out copyParam))
          SynchronizeParameters(origParam, copyParam);
      }
    }
    private static void SynchronizeParameters(IParameter origParam, IParameter copyParam) {
      if (origParam == null || copyParam == null)
        return;
      IValueParameter origValueParam = origParam as IValueParameter;
      ILookupParameter origLookupParam = origParam as ILookupParameter;
      IValueParameter copyValueParam = copyParam as IValueParameter;
      ILookupParameter copyLookupParam = copyParam as ILookupParameter;
      if (origValueParam != null && copyValueParam != null && copyValueParam.DataType.IsAssignableFrom(origValueParam.DataType))
        copyValueParam.Value = origValueParam.Value;
      if (origLookupParam != null && copyLookupParam != null)
        copyLookupParam.ActualName = origLookupParam.ActualName;
    }
    private void SelectPreassignedSolutionCreator() {
      var alg = Algorithm ?? SampleGenerationAlgorithm;
      if (alg == null)
        return;
      IHeuristicOptimizationProblem problem = alg.Problem as IHeuristicOptimizationProblem;
      if (problem != null) {
        if (problem.SolutionCreator is IBinaryVectorCreator &&
          (PreassignedSolutionCreator == null || !(PreassignedSolutionCreator is IBinaryVectorCreator)))
          PreassignedSolutionCreator = new PreassignedBinaryVectorCreator();
        else if (problem.SolutionCreator is IRealVectorCreator &&
          (PreassignedSolutionCreator == null || !(PreassignedSolutionCreator is IRealVectorCreator)))
          PreassignedSolutionCreator = new PreassignedRealVectorCreator();
        else if (problem.SolutionCreator is IPermutationCreator && 
          (PreassignedSolutionCreator == null || !(PreassignedSolutionCreator is IPermutationCreator)))
          PreassignedSolutionCreator = new PreassignePermutationCreator();        
      }      
    }
    #endregion

  }
}