static private void simulatedAnnealing(double T, double deltaT)
{
new_network = new Model.Network(network);
while (T > 0)
{
new_network.resetEdges();
foreach (Model.Demand d in new_network.Demands)
{
generateRandomPath(d);
d.flow();
}
double min_price = network.Price();
if (network.Price() == 0)
{
min_price = double.MaxValue;
}
double ap = acceptanceProbability(new_network.Price(), min_price, T);
if (new_network.Price() < min_price || ap > generator.NextDouble())
{
Model.Network tmp = network;
network = new_network;
new_network = tmp;
}
Console.Write("\rMinimalna cena sieci: " + network.Price() + " ");
T -= deltaT;
}
}
static private void simulatedAnnealing(double T, double deltaT)
{
new_network = new Model.Network(network);
while(T>0)
{
new_network.resetEdges();
foreach (Model.Demand d in new_network.Demands)
{
generateRandomPath(d);
d.flow();
}
double min_price = network.Price();
if (network.Price() == 0)
{
min_price = double.MaxValue;
}
double ap = acceptanceProbability(new_network.Price(), min_price, T);
if (new_network.Price() < min_price || ap > generator.NextDouble())
{
Model.Network tmp = network;
network = new_network;
new_network = tmp;
}
Console.Write("\rMinimalna cena sieci: " + network.Price() + " ");
T -= deltaT;
}
}