public void Start(string fileInput, string fileOutput, int timeLimit)
{
TSPInstance instance = new TSPInstance(fileInput);
// Setting the parameters of the MA for this instance of the problem.
int[] lowerBounds = new int[instance.NumberCities];
int[] upperBounds = new int[instance.NumberCities];
for (int i = 0; i < instance.NumberCities; i++) {
lowerBounds[i] = 0;
upperBounds[i] = instance.NumberCities - 1;
}
DiscreteMA memetic = new DiscreteMA2OptFirst4TSP(instance, (int)popSize, mutProbability, lowerBounds, upperBounds);
// Solving the problem and writing the best solution found.
memetic.Run(timeLimit - (int)timePenalty);
TSPSolution solution = new TSPSolution(instance, memetic.BestIndividual);
solution.Write(fileOutput);
}
public void Start(string fileInput, string fileOutput, int timeLimit)
{
TSPInstance instance = new TSPInstance(fileInput);
// Setting the parameters of the MA for this instance of the problem.
int[] lowerBounds = new int[instance.NumberCities];
int[] upperBounds = new int[instance.NumberCities];
for (int i = 0; i < instance.NumberCities; i++)
{
lowerBounds[i] = 0;
upperBounds[i] = instance.NumberCities - 1;
}
DiscreteMA memetic = new DiscreteMA2OptFirst4TSP(instance, (int)popSize, mutProbability, lowerBounds, upperBounds);
// Solving the problem and writing the best solution found.
memetic.Run(timeLimit - (int)timePenalty);
TSPSolution solution = new TSPSolution(instance, memetic.BestIndividual);
solution.Write(fileOutput);
}