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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import numpy as np
from gradient_free_optimizers import RandomAnnealingOptimizer
from ._base_test import _base_test
n_iter = 33
opt = RandomAnnealingOptimizer
def test_epsilon():
for epsilon in [0.00001, 100]:
opt_para = {"epsilon": epsilon}
_base_test(opt, n_iter, opt_para=opt_para)
def test_n_neighbours():
for n_neighbours in [1, 100]:
opt_para = {"n_neighbours": n_neighbours}
def test_annealing_rate():
for annealing_rate in [1, 0.001]:
opt_para = {"annealing_rate": annealing_rate}
def test_start_temp():
for start_temp in [0.001, 10000]:
opt_para = {"start_temp": start_temp}
SimonBlanke /
Gradient-Free-Optimizers
