====== Genetic Algorithm ======


mutation

<code python>

import numpy as np

pop_size = 5
length = 3

pop = np.zeros((pop_size, length))

def mutate(pop, prob=0.5):
    r = np.random.random((pop_size, length)) < prob
    v = np.random.random((pop_size, length)) - 0.5
    return pop + r * v

for _ in range(5):
    pop = mutate(pop)
    print(3 + _, pop)
    
</code>