public MainWindow()
{
InitializeComponent();
DataContext = this;
SelectedType = SelectionMethods.First();
QueueTask = () =>
{
while (Queue.Count != complited)
{
Fitness fitnessFunc = new Fitness(map.Count, false);
Population population = new Population(Queue[complited].PopulationCount,
new Chromosome(Cities, r, (ushort)r.Next(CitiesCount), true, (ushort)ConnectionsCount, Queue[complited].CrossoverMix, Queue[complited].KillBothParents),
fitnessFunc,
Queue[complited].SelectionMethod)
{
CrossoverRate = Queue[complited].CrossOver,
MutationRate = Queue[complited].Mutation,
RandomSelectionPortion = Queue[complited].RandomSelectionPortion,
AutoShuffling = Queue[complited].AutoShufling
};
int i = 0;
bool needToStop = false;
while (!needToStop)
{
population.RunEpoch();
Queue[complited].Results.Add(new Result(i,
(population.BestChromosome as Chromosome).Path,
population.BestChromosome.Fitness,
population.FitnessAvg,
fitnessFunc.GetLength(population.BestChromosome),
(population.BestChromosome as Chromosome).Path.Count()
));
System.Diagnostics.Debug.WriteLine("Best path: " + String.Join(",", (population.BestChromosome as Chromosome).Path) + $"\nBest fit: {population.BestChromosome.Fitness}");
System.Diagnostics.Debug.WriteLine("Avarge fit: " + population.FitnessAvg);
System.Diagnostics.Debug.WriteLine("Best length: " + fitnessFunc.GetLength(population.BestChromosome));
System.Diagnostics.Debug.WriteLine("Edges visited: " + (population.BestChromosome as Chromosome).Path.Count() + $"\nGeneartion: {i}");
if (i > Queue[complited].GenerationCount)
{
break;
}
i++;
}
Queue[complited].Name += ": " + (int)fitnessFunc.GetLength(population.BestChromosome);
complited++;
}
};
}
