/// <summary>
/// Starts the TSP algorithm.
/// To stop before all generations are calculated, set <see cref="Halt"/> to true.
/// </summary>
/// <param name="populationSize">Number of random tours to create before starting the algorithm.</param>
/// <param name="maxGenerations">Number of times to perform the crossover operation before stopping.</param>
/// <param name="groupSize">Number of tours to examine in each generation. Top 2 are chosen as the parent tours whose children replace the worst 2 tours in the group.</param>
/// <param name="mutation">Odds that a child tour will be mutated..</param>
/// <param name="seed">Seed for the random number generator.</param>
/// <param name="chanceToUseCloseCity">The odds (out of 100) that a city that is known to be close will be used in any given link.</param>
/// <param name="cityList">List of cities in the tour.</param>
public void Begin(int populationSize, int maxGenerations, int groupSize, int mutation, int seed, int chanceToUseCloseCity, List <City> cityList)
{
Rand = new Random(seed);
CityList = cityList;
Population1 = RouteHelper.CreateRandomPopulation(populationSize, cityList, Rand, chanceToUseCloseCity);
DisplayRoute(RouteHelper.BestRoute, 0, false);
int generation;
for (generation = 0; generation < maxGenerations; generation++)
{
if (Halt)
{
break; // GUI has requested we exit.
}
var foundNewBestTour = MakeChildren(groupSize, mutation);
if (foundNewBestTour)
{
DisplayRoute(RouteHelper.BestRoute, generation, false);
}
}
DisplayRoute(RouteHelper.BestRoute, generation, true);
}