public Solution RunTS(int maxNumIterations)
{
List <double> lstMinFitness = new List <double>();
int maxLengthTabuList = 10;
int numRutas = Filecvrp.NumRutas;
List <Node> lstNodes = Filecvrp.LstNodes;
Node depot = Filecvrp.LstNodes.Where(e => e.Id == Filecvrp.IdNodeDepot).First();
TabuSolution ts = new TabuSolution(numRutas, lstNodes, depot, Filecvrp.Capacity);
ts.CalculateFitness();
TabuSolution tsBestSolution = ts;
List <Node> tabuList = new List <Node>();
Random r = new Random();
for (int i = 0; i < maxNumIterations; i++)
{
TabuSolution mejorsolucioncandidata = null;
double fitnessmejorsolucioncandidata = double.MaxValue;
Node selectedNode = null;
foreach (Node n in lstNodes)
{
if (n.Id != depot.Id && !tabuList.Contains(n))
{
int routeIndex = r.Next(0, numRutas);
TabuSolution solcandidata = new TabuSolution(ts, n, routeIndex);
solcandidata.CalculateFitness();
if (solcandidata.Feasible && solcandidata.Fitness < fitnessmejorsolucioncandidata)
{
fitnessmejorsolucioncandidata = solcandidata.Fitness;
mejorsolucioncandidata = solcandidata;
selectedNode = n;
}
}
}
ts = mejorsolucioncandidata;
if (ts.Fitness < tsBestSolution.Fitness)
{
tsBestSolution = ts;
}
lstMinFitness.Add(tsBestSolution.Fitness);
tabuList.Add(selectedNode);
if (tabuList.Count > maxLengthTabuList)
{
tabuList.RemoveAt(0);
}
}
Solution s = new Solution();
s.LstMinFitness = lstMinFitness;
s.BestRutas = tsBestSolution.Rutas;
s.FitnessBestRutas = tsBestSolution.Fitness;
return(s);
}
