public double Calc(Genome genome, GASettings settings)
{
try
{
var trucks = genome.Trucks;
var totalMetros = trucks.Sum(t => t.Routes.Sum(r => r.Metros) + (t.DepotBack?.Metros ?? 0D));
var totalEsperaDepois = 0D;
var totalEsperaAntes = 0D;
var today = genome.Map.DataSaida;
foreach (var truck in trucks)
{
var start = genome.Map.DataSaida;
var finish = start;
foreach (var route in truck.Routes.Concat(new[] { truck.DepotBack }))
{
if (route == null)
{
continue;
}
var date = finish.AddMinutes(route.Minutos);
var from = CreateDateTime(today, route.Destino.Period.From);
var to = CreateDateTime(today, route.Destino.Period.To);
route.Descarga = route.Destino.Period.Descarga * 60;
if (date > to)
{
date = date.AddDays(1);
totalEsperaDepois += (date - to).TotalSeconds;
date = new DateTime(date.Year, date.Month, date.Day, from.Hour, from.Minute, from.Second);
route.Late = true;
}
if (date < from)
{
route.Espera = (from - date).TotalSeconds;
totalEsperaAntes += route.Espera;
date = date.Add(from - date);
}
route.DhSaida = finish;
route.DhChegada = date;
finish = date.AddMinutes(route.Destino.Period.Descarga);
}
}
return(totalMetros +
(totalEsperaDepois * settings.ArriveAfterPenalty) +
(totalEsperaAntes * settings.ArriveBeforePenalty));
}
catch (Exception ex)
{
throw;
}
}
int ProcessChunk = 1; // quantidade de requests simultaneos
public GeneticAlgorithmFinder(IRouteService routeService, GASettings settings)
{
this.routeService = routeService;
Mutate = MutateFactory.GetImplementation(settings.Mutation, settings);
Crossover = CrossoverFactory.GetImplementation(settings.Crossover, settings, routeService);
PopulationSize = settings.PopulationSize;
GenerationLimit = settings.GenerationLimit;
BestSolutionToPick = settings.BestSolutionToPick;
ProcessChunk = settings.Throttle;
Settings = settings;
}
public static Genome Generator(Roteiro map, GASettings settings) => new Genome(map, settings);
public Genome(Roteiro map, GASettings settings)
{
Map = map;
Settings = settings;
Initialize();
}
