How can I run with N-dimensional functions about mealpy HOT 1 CLOSED

from numpy import sum 
from mealpy.evolutionary_based import GA

def sphere(solution):
	return sum(solution**2)

## Setting parameters
epoch = 10                              # Maximum number of generations
pop_size = 50                          # Population size
lb = [-3, -5, 1, -10, ...]		# Enter your lower bound (50 dimensions)
ub = [5, 10, 100, 30, ...]		# Enter your upper bound (50 dimensions)
verbose = True                        # Print out the training process

model = GA.BaseGA(sphere, lb, ub, verbose, epoch, pop_size)		# Create model object 
best_position, best_fitness, list_loss = model.train()			        # Call train() function from object 
# List loss is the best fitness found in each iterations.