private static void WriteBest(BeesAlgorithm algorithm, string[] production_names)
{
Console.Write("Best pop:\t");
var rez = algorithm.GetTheBestBee();
var names = ConvertNames(rez.Item1, production_names);
for (int i = 0; i < names.Count; i++)
{
Console.Write(names[i] + '\t');
}
Console.WriteLine('\n' + rez.Item2.ToString());
}
private static void LaunchBees()
{
int production_size = default;
string[] production_names = default;
float[] ecologies = default;
int[] costs = default;
int[] profits = default;
int a = default;
Console.WriteLine("Choose input data:\n" +
"1 - from console;\n" +
"2 - from file;\n");
int choose = int.Parse(Console.ReadLine());
if (choose == 1)
{
ReadStartInfoFromConsole(ref production_size, ref production_names, ref ecologies, ref costs, ref profits, ref a);
}
else if (choose == 2)
{
ReadStartInfoFromFile(ref production_size, ref production_names, ref ecologies, ref costs, ref profits, ref a);
}
Console.Write("Enter scouts count: ");
int scout_count = Convert.ToInt32(Console.ReadLine());
BeesAlgorithm algorithm = new BeesAlgorithm(production_size, ecologies.ToList(), costs.ToList(), profits.ToList(), a);
int i_not = 0;
int i = 0;
string[] rez_names = default;
float rez_cf = default;
Dictionary <float, List <string> > best = new Dictionary <float, List <string> >();
best.Add(0, null);
while (i_not < 30)
{
i++;
algorithm.RunScouts();
algorithm.GetTheBestScouts(3);
algorithm.RunForagingBees();
algorithm.LocalUpdate();
WriteBest(algorithm, production_names);
var rez = algorithm.GetTheBestBee();
rez_names = ConvertNames(rez.Item1, production_names).ToArray();
rez_cf = rez.Item2;
WriteIterationBestResultToFile(i, rez_cf);
if (rez.Item2 <= best.Keys.Max())
{
i_not++;
}
else
{
i_not = 0;
}
if (!best.ContainsKey(rez_cf))
{
best.Add(rez_cf, rez_names.ToList());
}
}
var item = best.First(x => x.Key == best.Keys.Max());
WriteResultToFile(item.Value.ToArray(), item.Key);
}
public void Run()
{
if (A == null)
{
MessageBox.Show("Załaduj najpierw dane");
return;
}
IAlgorithm algorithm = null;
string name = "Algorytm";
int iterations = 0;
//wybieranie algorytmu
switch (SelectedTab)
{
case 0:
algorithm = new AntColony(_antColony.Ants, _antColony.MaxAssigns, _antColony.Alpha, _antColony.Beta, _antColony.Rho, _antColony.q, _antColony.Q0, _antColony.T0, _antColony.Q);
name = "AlgorytmMrówkowy";
iterations = _antColony.MaxAssigns;
break;
case 1:
algorithm = new BeesAlgorithm()
{
M = BeeAlgorithm.M,
Imax = BeeAlgorithm.Imax,
E = beeAlgorithm.E,
Ngh = beeAlgorithm.Ngh,
Nsp = beeAlgorithm.Nsp,
Nb = beeAlgorithm.Nb,
Nep = beeAlgorithm.Nep
};
name = "AlgorytmPszczeli";
iterations = BeeAlgorithm.Imax;
break;
case 2:
algorithm = new FireflyAlgorithm()
{
M = FireflyAlgorithm.M,
Imax = FireflyAlgorithm.Imax,
Gamma = FireflyAlgorithm.Gamma,
Alfa = FireflyAlgorithm.Alfa
};
name = "AlgorytmŚwietlikowy";
iterations = FireflyAlgorithm.Imax;
break;
case 3:
algorithm = new BeeAlgorithm(this.beeAlgorithmSBC.TotalNumberBees, this.beeAlgorithmSBC.NumberScout, this.beeAlgorithmSBC.MaxNumberVisits, this.beeAlgorithmSBC.MaxNumberCycles, this.beeAlgorithmSBC.ProbPersuasion, this.beeAlgorithmSBC.ProbMistake);
name = "AlgorytmPszczeliBSC";
iterations = FireflyAlgorithm.Imax;
break;
}
if (algorithm == null)
{
MessageBox.Show("Nie załadowano algorytmu.");
return;
}
//ładowanie algorytmu
algorithm.SetTestData((int[, ])A.Clone(), (int[, ])B.Clone(), size);
var sth = new Chart(algorithm, iterations, name, this.iterationGap, filename);
sth.Show();
}
