for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import numpy as np
from gradient_free_optimizers import ParticleSwarmOptimizer
from ._base_test import _base_test
n_iter = 100
opt = ParticleSwarmOptimizer
def test_inertia():
for inertia in [0.1, 0.9]:
opt_para = {"inertia": inertia}
_base_test(opt, n_iter, opt_para=opt_para)
def test_cognitive_weight():
for cognitive_weight in [0.1, 0.9]:
opt_para = {"cognitive_weight": cognitive_weight}
def test_social_weight():
for social_weight in [0.1, 0.9]:
opt_para = {"social_weight": social_weight}
SimonBlanke /
Gradient-Free-Optimizers
