protected virtual void addRandomPieceOfFood(AgentsEnvironment env)
{
int x = random.Next(env.Width);
int y = random.Next(env.Height);
Food newFood = new Food(x, y);
env.Add(newFood);
}
public static double Calculate(OptimizableNeuralNetwork chromosome)
{
// TODO maybe, its better to initialize these parameters in constructor
const int width = 200;
const int height = 200;
int agentsCount = 10;
int foodCount = 5;
int environmentIterations = 50;
AgentsEnvironment env = new AgentsEnvironment(width, height);
for (int i = 0; i < agentsCount; i++)
{
int x = random.Next(width);
int y = random.Next(height);
double direction = 2 * Math.PI * random.NextDouble();
NeuralNetworkDrivenAgent agent = new NeuralNetworkDrivenAgent(x, y, direction);
agent.setBrain(chromosome.Clone() as NeuralNetwork);
env.Add(agent);
}
for (int i = 0; i < foodCount; i++)
{
Food food = newPieceOfFood(width, height);
env.Add(food);
}
EatenFoodObserver tournamentListener = new FitnessObserver(width, height);
env.AgentEvent += tournamentListener.notify;
for (int i = 0; i < environmentIterations; i++)
{
env.timeStep();
}
double score = tournamentListener.getScore();
return(1.0 / score);
}
protected void addRandomPieceOfFood(AgentsEnvironment env)
{
Food newFood = newPieceOfFood(width, height);
env.Add(newFood);
}
