public ASAntInteraction(int alpha, int beta, double rho, int numOfAnts, List <City> cities) : base(alpha, beta, rho, numOfAnts, cities)
{
pheromoneTrailInitialValue = numOfAnts / Distances.CalculateNNHeuristic();
Pheromones = new Pheromones(cities.Count, pheromoneTrailInitialValue);
Pheromones.Init();
choiceInfo = new ChoiceInfo(cities.Count);
choiceInfo.UpdateChoiceInfo(Pheromones, Distances, alpha, beta);
}
public MinMaxAntInteraction(int alpha, int beta, double rho, int numOfAnts, List <City> cities, double pBest) : base(alpha, beta, rho, numOfAnts, cities)
{
this.pBest = pBest;
pheromoneTrailInitialValue = 1.0f / (rho * Distances.CalculateNNHeuristic());
Pheromones = new Pheromones(cities.Count, pheromoneTrailInitialValue, pBest);
Pheromones.Init();
choiceInfo = new ChoiceInfo(cities.Count);
choiceInfo.UpdateChoiceInfo(Pheromones, Distances, alpha, beta);
}
public ACSAntInteraction(int alpha, int beta, double rho, int numOfAnts, List <City> cities, double acsQ0) : base(alpha, beta, rho, numOfAnts, cities)
{
this.acsQ0 = acsQ0;
tau0 = 1.0f / (cities.Count * Distances.CalculateNNHeuristic());
pheromoneTrailInitialValue = this.tau0;
Pheromones = new Pheromones(cities.Count, pheromoneTrailInitialValue);
Pheromones.Init();
choiceInfo = new ChoiceInfo(cities.Count);
choiceInfo.UpdateChoiceInfo(Pheromones, Distances, alpha, beta);
}
