public void Update()
{
if (Dots.All(d => d.IsDead || d.ReachedGoal))
{
// all dots are dead, let's evaluate population
_score.CalculateFitness();
// get best dot and make make an evolution of it
var newDots = new Dot[_size];
newDots[0] = _score.BestDot.Clone();
// generate rest of the dots
for (var i = 1; i < _size; i++)
{
var parent = SelectParent();
newDots[i] = parent.Clone();
// mutate dot's brain
newDots[i].Brain.Mutate();
}
_generation++;
newDots.CopyTo(Dots, 0);
_score = new PopulationScore(_goal, Dots);
}
foreach (var dot in Dots)
{
if (_score.MaxSteps.HasValue && _currentStep > _score.MaxSteps)
{
dot.SetIsDead();
}
else
{
dot.Update();
}
if (HasCollision(dot))
{
dot.SetIsDead();
}
if (HaveReachedGoal(dot))
{
// this is the first dot
dot.SetReachedGoal();
// kill all the others
foreach (var d in Dots.Where(d => d != dot))
{
d.SetIsDead();
}
// jump out of the loop
continue;
}
}
_currentStep++;
}
public Population(int size, StartPoint start, GoalPoint goal, List <Obstacle> obstacles)
{
_size = size;
_start = start;
_goal = goal;
_obstacles = obstacles;
Dots = new Dot[_size];
for (var i = 0; i < size; i++)
{
Dots[i] = new Dot(_start);
}
_score = new PopulationScore(goal, Dots);
}
