public List<Monk> Selection(Population population)
{
List<Monk> result = new List<Monk>();
Random r = new Random();
int length = population.Chromosomes.Count;
List<List<Monk>> groups = new List<List<Monk>>();
List<Monk> group = new List<Monk>();
for (int i = 0; i < length; i++)
{
if (i % GroupSize == 0 && i!=0)
{
groups.Add(group);
group.Clear();
}
int index = r.Next(population.Chromosomes.Count);
group.Add(population.Chromosomes.ElementAt(index));
population.Chromosomes.RemoveAt(index);
}
if (group.Count > 0 )
{
groups.Add(group);
}
foreach (var gr in groups)
{
result.Add(gr.OrderByDescending(m => m.Fitness).First());
}
return result;
}
public List<Monk> Selection(Population population)
{
//blank
return new List<Monk>();
}
public List<Monk> Selection(Population population)
{
throw new NotImplementedException();
}
void bw_DoWork(object sender, DoWorkEventArgs e)
{
var worker = sender as BackgroundWorker;
List<object> args= e.Argument as List<object>;
int loops = (int)args.ElementAt(0);
int max_fitness = (int) args.ElementAt(1);
elitarism_on = (bool)args.ElementAt(2);
if (board != null)
{
int i = 0;
Population pop = new Population(board);
pop.GenerateFirstPopulation(pop_size, rand);
worker.ReportProgress(0, pop.ToString());
while ((i < loops) && (!pop.Chromosomes.First().Fitness.Equals(max_fitness)) )
{
pop.Selection(elite_rate, selection,elitarism_on);
pop.Breed(rand,mutation_chance);
pop.Sort();
i++;
worker.ReportProgress(0, pop.ToString());
}
if (i != loops)
{
e.Result = i;
}
else
e.Result = -1;
}
else
{
MessageBox.Show("Board not yet loaded");
}
}
