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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import numpy as np
from gradient_free_optimizers import EvolutionStrategyOptimizer
from ._base_test import _base_test
n_iter = 100
opt = EvolutionStrategyOptimizer
def test_mutation_rate():
for mutation_rate in [0.1, 0.9]:
opt_para = {"mutation_rate": mutation_rate}
_base_test(opt, n_iter, opt_para=opt_para)
def test_crossover_rate():
for crossover_rate in [0.1, 0.9]:
opt_para = {"crossover_rate": crossover_rate}
SimonBlanke /
Gradient-Free-Optimizers
