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import numpy as np
from hyperactive import Hyperactive
def rosen(para, X, y):
"""The Rosenbrock function"""
x = np.array([para["x1"], para["x2"], para["x3"], para["x4"]])
y = np.array([para["x0"], para["x1"], para["x2"], para["x3"]])
return -sum(100.0 * (x - y ** 2.0) ** 2.0 + (1 - y) ** 2.0)
x_range = np.arange(0, 3, 0.1)
search_config = {
rosen: {"x0": x_range, "x1": x_range, "x2": x_range, "x3": x_range, "x4": x_range}
}
opt = Hyperactive(search_config, n_iter=1000000)
opt.search(0, 0)
SimonBlanke /
Hyperactive
