Evolutionary Algorithms 2

population.sort(key = lambda x : -h(x))
take = population[:len(population) * 0.1]
new_population = krizenje(take)
new_population = mutate(new_population)

population = izumitrije(population)


def sandpile(N):
   result = []
   matrika = [N][N]


def izumrtije(epoch, population):
   PK = sandpile(N)
   PK = normilize(PK, 0.3)
   num_dead = PK[epoch%N]
   for i in range(num_dead):
       u = randint(0, len(population) - 1)
       population.pop(u)

   for i in range(num_dead):
       population.append(generator_random_person())

   return population


for epoch in range(max_epochs):
   population = izumrtije(epoch, population)
   selection = select(population)
   new_population = krizenje(selection)
   new_popualtion = mutations(new_population)
   for (...) if (goa...
   population = new_population