public void Write(string file)
{
double cost = TSPUtils.Fitness(Instance, Path);
using (StreamWriter writer = File.CreateText(file)) {
writer.WriteLine(cost);
writer.WriteLine(Instance.NumberCities);
for (int i = 0; i < Instance.NumberCities; i++)
{
writer.WriteLine(Path[i] + 1);
}
}
}
public MaxMinAntSystem2OptFirst4TSP(TSPInstance instance, int numberAnts, double rho,
double alpha, double beta, int maxReinit,
int candidateLength, double candidateWeight)
: base(instance.NumberCities, TSPUtils.Fitness(instance, TSPUtils.RandomSolution(instance)),
numberAnts, rho, alpha, beta, maxReinit)
{
Instance = instance;
this.candidateWeight = candidateWeight;
// Build the candidate list.
this.candidateLists = new List <Tuple <double, int> > [Instance.NumberCities];
for (int i = 0; i < Instance.NumberCities; i++)
{
this.candidateLists[i] = new List <Tuple <double, int> >();
for (int j = 0; j < Instance.NumberCities; j++)
{
if (i != j)
{
this.candidateLists[i].Add(new Tuple <double, int>(Instance.Costs[i, j], j));
}
}
this.candidateLists[i].Sort();
this.candidateLists[i].RemoveRange(candidateLength, this.candidateLists[i].Count - candidateLength);
}
}
protected override double Fitness(int[] solution)
{
return(TSPUtils.Fitness(Instance, solution));
}
protected override double Fitness(int[] individual)
{
return(TSPUtils.Fitness(Instance, individual));
}