public Tuple <List <double>, List <double> > ExecuteTest(int testnumber, int testSize, int mutatedIndividuals, int initialChromosomeSize, double failureFitnessValue, bool useGE1ForBase, bool includeFailedCorrections)
{
List <double> localityResults1 = new List <double>();
List <double> localityResults2 = new List <double>();
for (int i = 0; i < testSize; i++)
{
Chromosome baseChromosome = null;
double baseFitness = failureFitnessValue;
while (baseFitness == failureFitnessValue)//Check that it is a correct individual
{
baseChromosome = new Chromosome(initialChromosomeSize, 64);
GrammaticalEvolution baseGE = (useGE1ForBase ? GE1 : GE2).GetClone();
baseFitness = Evaluate(baseChromosome, true, baseGE).Item1;
}
for (int j = 0; j < mutatedIndividuals; j++)//TODO: Perché le differenze del 2 è di 1?.
{
Chromosome mutatedChromosome1 = SingleMutation(baseChromosome);
mutatedChromosome1.BackupCodons = baseChromosome.ToList();
Chromosome mutatedChromosome2 = mutatedChromosome1.GetClone();
Tuple <double, bool> result1 = Evaluate(mutatedChromosome1, false, GE1);
Tuple <double, bool> result2 = Evaluate(mutatedChromosome2, false, GE2);
double minDistance = (double)1 / 64;
localityResults1.Add(Math.Abs(result1.Item1 - baseFitness - minDistance));
double secondResult = result2.Item2 ? baseFitness : result2.Item1;
localityResults2.Add(Math.Abs(secondResult - baseFitness - minDistance));
}
Console.WriteLine(i + " out of " + testSize);
}
Console.WriteLine("Media 1:" + localityResults1.Average());
Console.WriteLine("Media 2:" + localityResults2.Average());
Console.WriteLine("Miglioramento:" + ((localityResults1.Average() - localityResults2.Average()) / localityResults1.Average()));
return(new Tuple <List <double>, List <double> >(localityResults1, localityResults2));
/*string percorso = @"C:\Users\Samuele\Documents\BetterPECLE\v3\Studio località\";
* //string avviso = "ATTENZIONE: QUESTI RISULTATI SONO STATI DEFINITI PREVENTIVAMENTE COME TEST.\n" +
* // "AL FINE DI RISPETTARE L'ETICA SCIENTIFICA, NON USARE QUESTI DATI IN NESSUNA PUBBLICAZIONE.\n\n";
*
* double miglioramento = ((localityResults1.Average() - localityResults2.Average()) / localityResults1.Average());
*
* string spiegazione = "I seguenti dati indicano la differenza di fitness medio per mutazione. Più la differenza\n" +
* "è bassa, più la rappresentazione è locale.\n\n";
* File.WriteAllText(percorso + "Studio" + testnumber + ".txt",
* spiegazione + "Media default: " + localityResults1.Average() +
* "\nDeviazione Standard: " + StdDev(localityResults1) +
* "\nMedia PECLE: " + localityResults2.Average() +
* "\nDeviazione Standard: " + StdDev(localityResults2) +
* "\nMiglioramento: " + miglioramento);*/
}
private Tuple <double, bool> Evaluate(Chromosome chromosome, bool saveBackupCodons, GrammaticalEvolution ge)
{
GrammaticalEvolution newGE = ge.GetClone();
string code = null;
object result = null;
Exception generationException = null;
CompilerErrorCollection compilationErrors = null;
Exception executionException = null;
GenerationStats s = new GenerationStats();
try
{
code = newGE.Generate(chromosome, s);
}
catch (GrammaticalEvolution.ErrorCorrectionFailedException e)
{
generationException = e;
}
catch (GrammaticalEvolution.EndOfCodonQueueException e)
{
generationException = e;
}
if (generationException == null)
{
try
{
result = Executor.Execute(Parameters, code);
}
catch (Executor.CompilationErrorException e)
{
compilationErrors = e.Errors;
}
catch (Executor.ExecutionExceptionException e)
{
executionException = e.InnerException;
}
}
if (generationException == null && compilationErrors == null && executionException == null && saveBackupCodons)
{
chromosome.BackupCodons = chromosome.ToList();
}
return(new Tuple <double, bool>(Calculator(result, generationException, compilationErrors, executionException), s.failedErrorCorrections > 0));
}
