private static void BenchmarkFitnessCall(
TextWriter file,
Func <IBitMutation <IBitIndividual> > mutationGenerator,
long budget)
{
for (var n = 100; n <= 1000; n += 100)
{
for (var rounds = 0; rounds < 100; rounds++)
{
var mutation = CreateAlgo(mutationGenerator, n);
var individual = BitIndividual.Generate(2).Invoke(n);
var start = DateTime.Now;
for (var i = 0; i < budget; i++)
{
mutation.Mutate(0, individual);
}
var end = DateTime.Now;
file.WriteLine($"{n} {budget} {end - start}");
}
}
}
private static void BenchmarkTime(
TextWriter file,
Func <IBitMutation <IBitIndividual> > mutationGenerator,
TimeSpan timeBudget)
{
for (var n = 100; n <= 1000; n += 100)
{
for (var rounds = 0; rounds < 100; rounds++)
{
var mutation = CreateAlgo(mutationGenerator, n);
var individual = BitIndividual.Generate(2).Invoke(n);
var start = DateTime.Now;
TimeSpan runtime;
long mutations = 0;
do
{
mutation.Mutate(0, individual);
mutations++;
runtime = DateTime.Now - start;
} while (runtime < timeBudget);
file.WriteLine($"{n} {mutations} {runtime}");
}
}
}
protected void NewAverageIndividualNotify(BitIndividual ind)
{
foreach (ISubscriber subscriber in subscribers)
{
subscriber.NewAverageIndividualNotification(ind);
}
}
public void NewAverageIndividualNotification(BitIndividual ind)
{
averageInds.Add(ind);
averageIndsBackup.Add(ind);
}
public void NewWorstIndividualNotification(BitIndividual ind)
{
worstInds.Add(ind);
worstIndsBackup.Add(ind);
}
public void NewBestIndividualNotification(BitIndividual ind)
{
bestInds.Add(ind);
bestIndsBackup.Add(ind);
}
public static IEvolutionaryAlgorithm <IBitIndividual, BitArray, bool> UsingRandomPopulation(
this IEvolutionaryAlgorithm <IBitIndividual, BitArray, bool> algorithm,
double mutationRate = 1) =>
algorithm.UsingPopulation(BitIndividual.FromRandom(mutationRate));
