void TerminationReached(object sender, EventArgs e)
{
_logManager.Output("Termination reached.");
string output = "";
var fittest = _population.BestChromosome;
foreach (var item in ((Chromosome)fittest).ToDictionary())
{
output += item.Key + ": " + item.Value.ToString() + ", ";
}
output += string.Format("{0}: {1}", _fitness.Name, _fitness.GetValueFromFitness(fittest.Fitness));
_logManager.Output(output);
}
void GenerationRan(object sender, EventArgs e)
{
var fittest = (Chromosome)_population.BestChromosome;
Program.Logger.Info("Algorithm: {0}, Generation: {1}, Fitness: {2}, {3}: {4}, {5}, Id: {6}", _config.AlgorithmTypeName, _population.GenerationsNumber, fittest.Fitness,
_fitness.Name, _fitness.GetValueFromFitness(fittest.Fitness), fittest.ToKeyValueString(), fittest.Id);
}
void GenerationRan(object sender, EventArgs e)
{
//keep first iteration of alpha to maintain id
if (_bestChromosome == null || _population.BestChromosome.Fitness > _bestChromosome?.Fitness)
{
_bestChromosome = (Chromosome)_population.BestChromosome;
}
Program.Logger.Info("Algorithm: {0}, Generation: {1}, Fitness: {2}, {3}: {4}, {5}, Id: {6}", _config.AlgorithmTypeName, _population.GenerationsNumber, _bestChromosome.Fitness,
_fitness.Name, _fitness.GetValueFromFitness(_bestChromosome.Fitness), _bestChromosome.ToKeyValueString(), _bestChromosome.Id);
}
public void Start()
{
GeneFactory.Initialize(_config.Genes);
var chromosome = new Chromosome(false, GeneFactory.Config);
_fitness.Evaluate(chromosome);
LogProvider.GenerationsLogger.Info(Termination);
var best = ((Chromosome)((SharpeMaximizer)_fitness).Best);
var info = $"Algorithm: {_config.AlgorithmTypeName}, Fitness: {chromosome.Fitness}, {_fitness.Name}: " +
$"{_fitness.GetValueFromFitness(chromosome.Fitness).ToString("F")}, {best.ToKeyValueString()}";
LogProvider.GenerationsLogger.Info(info);
}