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import numpy as np
from hyperactive import Hyperactive
from hyperactive.optimizers import DownhillSimplexOptimizer
def sphere_function(para):
x = para["x"]
y = para["y"]
return -(x * x + y * y)
search_space = {
"x": list(np.arange(-10, 10, 0.1)),
"y": list(np.arange(-10, 10, 0.1)),
}
opt = DownhillSimplexOptimizer(
alpha=1.2,
gamma=1.1,
beta=0.8,
sigma=1,
)
hyper = Hyperactive()
hyper.add_search(sphere_function, search_space, n_iter=1500, optimizer=opt)
hyper.run()
SimonBlanke /
Hyperactive
