algorithm-base | use animation to explain the algorithm | Learning library

this question is a follow-on to answer of this question about python deap genetic algorithm library: How to add elimination mechanism in Python genetic algorithm based on DEAP

using reference code from deap github: https://github.com/DEAP/deap/blob/master/examples/ga/onemax.py

line 112 while max(fits) < 100 and g < 1000: #from onemax.py

on the deap github example 'onemax_mp.py': https://github.com/DEAP/deap/blob/master/examples/ga/onemax_mp.py

how do i add a max(or min) condition similar to max(fits) < 100 in the onemax_mp.py?

if i do add this condition is this condition applied to each process in the entire multi-process pool of processes? if one process meets the end condition are the other processes halted?
right now it seems that i can only control the number of generations:

https://github.com/DEAP/deap/blob/master/examples/ga/onemax_mp.py

line 40

algorithms.eaSimple(pop, toolbox, cxpb=0.5, mutpb=0.2, ngen=40, stats=stats, halloffame=hof) #ngen=40 means calculate 40 generations

i am new to stackoverflow, please let me know if i need to edit this question to fit forum rules