public TextMatchGeneticAlgorithm(bool runParallel, string targetText, GeneticAlgorithmSettings settings)
{
if (settings == null)
{
throw new ArgumentNullException("settings");
}
if (targetText == null)
{
throw new ArgumentNullException("targetText");
}
_runParallel = runParallel;
_settings = settings;
_targetText = targetText;
}
public void StartTyping(string targetText, bool parallel)
{
var settings = new GeneticAlgorithmSettings {
PopulationSize = 200
};
var token = cancellation.Token;
currentTask = currentTask.ContinueWith((previous) =>
{
// Create the new genetic algorithm
var ga = new TextMatchGeneticAlgorithm(parallel, targetText, settings);
TextMatchGenome?bestGenome = null;
DateTime startedAt = DateTime.Now;
Hub.GetClients <MonkeyHub>().started(targetText);
// Iterate until a solution is found or until cancellation is requested
for (int generation = 1; ; generation++)
{
if (token.IsCancellationRequested)
{
Hub.GetClients <MonkeyHub>().cancelled();
break;
}
// Move to the next generation
ga.MoveNext();
// If we've found the best solution thus far, update the UI
if (bestGenome == null ||
ga.CurrentBest.Fitness < bestGenome.Value.Fitness)
{
bestGenome = ga.CurrentBest;
int generationsPerSecond = generation / Math.Max(1, (int)((DateTime.Now - startedAt).TotalSeconds));
Hub.GetClients <MonkeyHub>().updateProgress(bestGenome.Value.Text, generation, generationsPerSecond);
if (bestGenome.Value.Fitness == 0)
{
Hub.GetClients <MonkeyHub>().complete();
break;
}
}
}
}, TaskContinuationOptions.OnlyOnRanToCompletion);
}
public void StartTyping(string targetText, bool parallel)
{
var settings = new GeneticAlgorithmSettings { PopulationSize = 200 };
var token = cancellation.Token;
currentTask = currentTask.ContinueWith((previous) =>
{
// Create the new genetic algorithm
var ga = new TextMatchGeneticAlgorithm(parallel, targetText, settings);
TextMatchGenome? bestGenome = null;
DateTime startedAt = DateTime.Now;
Hub.GetClients<MonkeyHub>().started(targetText);
// Iterate until a solution is found or until cancellation is requested
for (int generation = 1; ; generation++)
{
if (token.IsCancellationRequested)
{
Hub.GetClients<MonkeyHub>().cancelled();
break;
}
// Move to the next generation
ga.MoveNext();
// If we've found the best solution thus far, update the UI
if (bestGenome == null ||
ga.CurrentBest.Fitness < bestGenome.Value.Fitness)
{
bestGenome = ga.CurrentBest;
int generationsPerSecond = generation / Math.Max(1, (int)((DateTime.Now - startedAt).TotalSeconds));
Hub.GetClients<MonkeyHub>().updateProgress(bestGenome.Value.Text, generation, generationsPerSecond);
if (bestGenome.Value.Fitness == 0)
{
Hub.GetClients<MonkeyHub>().complete();
break;
}
}
}
}, TaskContinuationOptions.OnlyOnRanToCompletion);
}
public TextMatchGeneticAlgorithm(bool runParallel, string targetText, GeneticAlgorithmSettings settings)
{
if (settings == null) throw new ArgumentNullException("settings");
if (targetText == null) throw new ArgumentNullException("targetText");
_runParallel = runParallel;
_settings = settings;
_targetText = targetText;
}
