def family_competition(self, k=2):
parent_fitness = [(solution,
Fitness.get_fitness(solution,
function=self.fitness_function))
for solution in self.parent]
child_fitness = [(solution,
Fitness.get_fitness(solution,
function=self.fitness_function))
for solution in self.children]
failed_reproduction = [
baby_fitness[1] <= max(parent_fitness, key=itemgetter(1))[1]
for baby_fitness in child_fitness
]
family_fitness = parent_fitness + child_fitness
sorted_family = sorted(family_fitness,
key=lambda x: x[1],
reverse=True)
kth_best, kth1_best = sorted_family[k - 1], sorted_family[k]
if kth_best[1] == kth_best[1]:
if kth1_best[0] in self.parent and not kth_best in self.parent:
sorted_family[k - 1] = kth1_best
sorted_family[k] = kth_best
return [solution[0]
for solution in sorted_family[:k]], failed_reproduction
def population_stats(self):
return [
Fitness.get_fitness(solution, function=self.fitness_function)
for solution in self.population
]
