public GA(Citizen citizenTemplate)
{
Population = new List <ICitizen>();
defaultCitizenTemplate = citizenTemplate;
Observers = new List <IObserver <TrainingUpdateEventArgs> >();
}
/// <summary>
/// The training method called to run the course of the algorithm (ie. Generate Population, selection, crossover, mutation, repeat)
/// </summary>
/// <param name="iterations">Total number of iterations of populations to complete</param>
/// <param name="populationSize">Population size</param>
/// <param name="citizenTemplate">The template citizen to use for generation</param>
/// <returns></returns>
public CancellationTokenSource Train(int iterations, int populationSize = 100, Citizen citizenTemplate = null)
{
GeneratePopulation(citizenTemplate ?? defaultCitizenTemplate, populationSize); // Generates the initial Population
// Handles the abortion of the training procedure if ended prematurely
CancellationTokenSource TokenSource = new CancellationTokenSource();
CancellationToken token = TokenSource.Token;
// Launches the training task in a new thread, that is cancellable
Task.Factory.StartNew(() =>
{
token.ThrowIfCancellationRequested(); // Tests if the task has already been cancelled
// Handles the cancellation event asynchronously
Task.Factory.StartNew(() =>
{
while (!token.IsCancellationRequested)
{
token.ThrowIfCancellationRequested();
Thread.Sleep(100);
}
});
TrainingRoutine(iterations); // Executes the training routine
}, token);
return(TokenSource);
}
