ga_instance = pygad.GA(num_generations=5,
                       num_parents_mating=2,
                       fitness_func=fitness,
                       init_range_low=0,
                       init_range_high=32,
                       num_genes=32,
                       gene_space=a = np.arange(0,32,1),
                       gene_type=int,
                       allow_duplicate_genes=False,
                       )

a = ga_instance.run()
solution, solution_fitness, solution_idx = ga_instance.best_solution()
print(f'{solution}')
solution.sort(axis=0)
print(solution)