public double Evaluate(IChromosome chromosome)
{
var stopwatch = Stopwatch.StartNew();
var scalingFactor = (double)(int)chromosome.GetGene(0).Value / 1000;
var error = _engineOperator.Evaluate(scalingFactor);
var fitness = 1.0 - error;
var elapsedTime = (double)stopwatch.ElapsedMilliseconds / 1000;
var chromosomeRequest = RequestsFactory.CreateChromosomeRequest(_testId, fitness, elapsedTime, chromosome);
_webService.SendChromosomeData(chromosomeRequest).GetAwaiter().GetResult();
Console.WriteLine($"[{DateTime.Now}] Run done! Fitness: {fitness}");
return(fitness);
}
public double Evaluate(IChromosome chromosome)
{
for (var geneIndex = 0; geneIndex < SettingsLoader.Data.Genes.Count; geneIndex++)
{
var geneName = SettingsLoader.Data.Genes[geneIndex].Name;
var geneValue = chromosome.GetGene(geneIndex).ToString();
_engineOperator.SetOption(geneName, geneValue);
}
while (true)
{
try
{
_engineOperator.ApplyOptions();
break;
}
catch
{
_engineOperator.Restart();
_engineOperator.LoadEpd(SettingsLoader.Data.PositionsDatabasePath);
}
}
var stopwatch = Stopwatch.StartNew();
var error = _engineOperator.Evaluate(SettingsLoader.Data.ScalingConstant);
var fitness = 1.0 - error;
var elapsedTime = (double)stopwatch.ElapsedMilliseconds / 1000;
var chromosomeRequest = RequestsFactory.CreateChromosomeRequest(_testId, fitness, elapsedTime, chromosome);
_webService.SendChromosomeData(chromosomeRequest).GetAwaiter().GetResult();
Console.WriteLine($"[{DateTime.Now}] Run done! Fitness: {fitness}");
return(fitness);
}
