parents_pool = [
self.population[self.fps()]
for i in range(self.population_size)
]
random.shuffle(parents_pool)
offsprings = self.generate_offsprings2(parents_pool=parents_pool)
self.population = offsprings
self.generation += 1
return max(self.population,
key=lambda item: self.fitness_function(item))
if __name__ == '__main__':
time1 = time.time()
sql_manager = SqlManager(file="information.sqlite")
sql_manager.create_database()
for function in [one_max, peak, trap]:
for max_gen in [100, 200, 300]:
for problem_size in [10, 30, 50, 70, 100]:
for pop_size in [50, 100, 200, 300]:
for i in range(10):
print(
"\n_________________________________________________"
)
print(
f"problem_size={problem_size}\npop_size={pop_size}\nmax_gen={max_gen}\nfitness ={function.__name__}"
)
sga = SGA(population_size=pop_size,
problem_size=problem_size,
fitness_function=function,
max_gen=max_gen)
