Random mutations#
About#
This optimizer samples a random location of a string in the history, and replaces it with a randomly sampled token from the alphabet.
How to run#
import numpy as np
from poli.objective_repository import AlohaProblemFactory
from poli_baselines.solvers import RandomMutation
problem_factory = AlohaProblemFactory()
problem = problem_factory.create()
f, x0 = problem.black_box, problem.x0
y0 = f(x0)
solver = RandomMutation(
black_box=f,
x0=x0,
y0=y0,
)
solver.solve(max_iter=100)
print(solver.get_best_solution())