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import numpy as np
from gradient_free_optimizers import HillClimbingOptimizer
def sphere_function(para):
x = para["x"]
y = para["y"]
return -(x * x + y * y)
search_space = {
"x": np.arange(-10, 10, 0.1),
"y": np.arange(-10, 10, 0.1),
}
opt = HillClimbingOptimizer(
search_space,
epsilon=0.1,
n_neighbours=5,
distribution="laplace",
)
opt.search(sphere_function, n_iter=100000)
SimonBlanke /
Gradient-Free-Optimizers
