// This function uses the fitness function given in FitnessFunction.cs to evaluate all paths of the current generation
public void evaluation()
{
// Creates a Simulation and a rating for each path in the current population and adds it to the ratings List
for (int i = 0; i < populationSize; i++)
{
// Creates a new simulation and runs it
Variables.simulation = new Simulation(Variables.vehicle, population[i].Path);
Variables.simulation.run();
// Gets the rating for the current simulation
population[i].Rating = FitnessFunction.fitness(Variables.simulation.getPath());
if (Variables.popDebugging)
{
population[i].Collisions = Variables.debugCollisions;
population[i].Distances = Variables.debugDistance;
}
// Writes the path to the global Variable for drawing
Variables.path = population[i].Path;
// Draws.
glcontrol.Refresh();
}
}
// This function is only used once (Generation 0) and populates the algorithm with randomly generated paths.
public void initialize()
{
double rating;
// Generates an initial population of size <PopulationSize> along with their fitness
for (int i = 0; i < populationSize; i++)
{
// Generates a random path of length 20 and saves it to the global path
EZPathFollowing.PathPrimitives.generatePath();
// Creates a Simulation for this path
Variables.simulation = new Simulation(Variables.vehicle, Variables.path);
Variables.simulation.run();
// Rates the Path and adds the rating to the ratings List
rating = FitnessFunction.fitness(Variables.simulation.getPath());
// Adds the path, genome and rating to the population
population[i] = new Population(Variables.path, Variables.genome, rating);
// Draws.
glcontrol.Refresh();
}
}
