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Random mutations

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Random mutations#

Type of optimizer algorithm: discrete inputs

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())
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