private void repartirOrdenes()
{
try
{
GeneticAlgorithm a = new GeneticAlgorithm(agents, requestedServices);
agente.hablar("Espera mientras resuelvo el problema");
a.CreateInitialPopulation();
a.CalculateFitnessGenes();
for (int i = 0; i < a.GenerationsNumber; i++)
{
a.CreateNextGeneration();
a.CalculateFitnessGenes();
}
Console.WriteLine(a.BestGenByGeneration());
formResultado = new Form2();
formResultado.Show();
formResultado.cargarGen(a);
agente.hablar("Así se debe repartir las órdenes");
}
catch (Exception ex)
{
agente.hablar("Debe cargar los agentes y órdenes primero");
}
}
internal void cargarGen(GeneticAlgorithm a)
{
Gen gen = a.BestGenByGeneration();
Dictionary <string, List <string> > dictionary = a.GetDictionary(gen);
foreach (Agent r in gen.AgentList.AsEnumerable())
{
string nl = Environment.NewLine;
string RS = "";
foreach (string str in dictionary[r.ID].AsEnumerable())
{
RequestedService rs;
Service s;
rs = (from t in a.RequestedServiceList
where t.ID == str
select t).FirstOrDefault();
s = (from ss in XMLData.GetInstance().XMLServices
where ss.Code == rs.ServiceCode select ss).FirstOrDefault();
RS += "Order ID: " + rs.ID + ", Customer: " + rs.CustomerName +
", Service: " + rs.ServiceCode + ", Time: " + s.Time + ", Commission: " + s.Commission + nl;
}
dgSalida.Rows.Add(r.ID, r.Name, r.EarnedCommission, r.WorkTime, RS);
dgSalida.Rows[dgSalida.Rows.Count - 1].Height = dictionary[r.ID].Count * 30;
Console.WriteLine(r);
}
}