Haz un ejemplo de la aplicación de la librería PyGAD Python para algoritmos genéticos

import PyGAD as pg
import random

# Defining the fitness function for the genetic algorithm to optimize.
def fitness_func(x):
    return (x[0] - 5)**2 + (x[1] - 5)**2 + (x[2] - 5)**2 + (x[3] - 5)**2 + (x[4] - 5)**2

# Defining the lower and upper bounds for the variables.
lower_bound = [0, 0, 0, 0, 0]
upper_bound = [10, 10, 10, 10, 10]

# Initializing the genetic algorithm to solve the problem.
ga_instance = pg.genetic_algorithm(parameters_ga)

# Running the genetic algorithm to solve the problem.
ga_instance.run()

# Getting the best solution after running the genetic algorithm.
best_solution, best_fitness, fitness_list = ga_instance.best_solution()