/// <summary>
/// Request <seealso cref="OptimizationManagerGeneticAlgorithm"/> to start the Optimization Process
/// </summary>
private void StartGeneticOptimization()
{
// Reset Value
RoundsCompleted = 0;
// Array of object to be used as parameters for given strategy
var parameterValues = GetParameterValues(SelectedStrategy.ParameterDetails).ToArray();
var optimizationParametersDetail = new SortedDictionary <int, OptimizationParameterDetail>();
foreach (var optimizationParameterDetail in OptimizationParameters)
{
optimizationParametersDetail.Add(optimizationParameterDetail.Index, optimizationParameterDetail);
}
var strategyDetails = new GeneticAlgorithmParameters(SelectedStrategy.StrategyType, parameterValues,
optimizationParametersDetail, _iterations, _populationSize, _rounds);
// Change Status
Status = OptimizationStatus.Working;
// Clear existing data
OptimizedParameters.Clear();
// Raise Event to notify listeners to start Optimization Process
Task.Factory.StartNew(() => { EventSystem.Publish <GeneticAlgorithmParameters>(strategyDetails); });
}
/// <summary>
/// Displays GA Optimization Result on UI
/// </summary>
/// <param name="optimizationResult">Contains optimized parameters information</param>
private void DisplayResult(GeneticAlgorithmResult optimizationResult)
{
_currentDispatcher.Invoke(DispatcherPriority.Normal, (Action)(() =>
{
RoundsCompleted++;
foreach (OptimizationParameterDetail optimizationParameterDetail in optimizationResult.ParameterList)
{
OptimizedParameters.Add(optimizationParameterDetail);
}
if (RoundsCompleted == Rounds)
{
Status = OptimizationStatus.Completed;
}
}));
}
public void AddOptimizedParameter(OptimizedParameterDTO optimizedParameterDTO)
{
OptimizedParameters.Add(optimizedParameterDTO);
}
