Thanks, that is great. You may also want to add to the documentation the integration with tqdm.

from tqdm import tqdm
num_generations = 100
with tqdm(total=num_generations) as pbar:
 ga_instance = pygad.GA(
 num_generations=num_generations,
 ...,
 on_generation=lambda _: pbar.update(1),
 )
 ga_instance.run()

That is really helpful! Thank you.

I will definitely refer to this discussion in the documentation. It is so fast in monitoring the progress compared to printing the the generation number in a new function.

Please let me know if you have any other suggestion or bugs to fix.

Hi & thanks for this great tool.
The Progress bar is a great feature but when using the progress bar i can no longer save the results with the save() fct.
I get this error message:
pickle.dump(self, file)
_pickle.PicklingError: Can't pickle <function at 0x1232a59d0>: attribute lookup on main failed

Regards
André

Thanks @dayd! The issue is solved by defining a function. The following code works:

import pygad
import numpy
import tqdm
equation_inputs = [4,-2,3.5]
desired_output = 44
def fitness_func(solution, solution_idx):
 output = numpy.sum(solution * equation_inputs)
 fitness = 1.0 / (numpy.abs(output - desired_output) + 0.000001)
 return fitness
def on_generation_progress(ga):
 pbar.update(1)
num_generations = 100
with tqdm.tqdm(total=num_generations) as pbar:
 ga_instance = pygad.GA(num_generations=num_generations,
 sol_per_pop=5,
 num_parents_mating=2,
 num_genes=len(equation_inputs),
 fitness_func=fitness_func,
 on_generation=on_generation_progress)
 ga_instance.run()
ga_instance.plot_result()
ga_instance.save("test")

Thanks, that's perfect and works like a charm.
André

I assume that you would have found it already, but since I was looking for the same when arrived to this thread, I leave the link for the future:
https://pygad.readthedocs.io/en/latest/utils.html#user-defined-crossover-mutation-and-parent-selection-operators