void createPlayers(bool replay)
{
if (showBestSolution)
{
if (!replay)
{
solution = geneticController.getSolution();
}
if (solution != null)
{
players = new List <GeneticPlayer>();
players.Add(new GeneticPlayer(new Vector2(0, 0), this.mapModel, solution, false, solution.fitness()));
this.GetComponent <MapGeneticView>().setPlayers(players);
}
}
else
{
if (!replay)
{
List <ChromosomeSalesman> currentSolutions = geneticController.getPartialSolution();
if (currentSolutions != null)
{
solutions = currentSolutions;
}
}
if (solutions != null)
{
float worstFitness = 0;
foreach (ChromosomeSalesman solution in solutions)
{
float fitness = solution.fitness();
if (fitness > worstFitness)
{
worstFitness = fitness;
}
}
players = new List <GeneticPlayer>();
// create players
for (int i = 0; i < solutions.Count; i++)
{
players.Add(new GeneticPlayer(new Vector2(0, 0), this.mapModel, solutions[i], i == 0, worstFitness));
}
this.GetComponent <MapGeneticView>().setPlayers(players);
}
}
}
float worstFitness; // used to calculate the time for moving the players (based on the worst fitness)
public GeneticPlayer(Vector2 position, MapGenetic map, ChromosomeSalesman solution, bool bestSolution, float worstFitness) : base(position, map)
{
this.solution = solution;
this.bestSolution = bestSolution;
this.worstFitness = worstFitness;
}
