In order to better understand this process, you will start simple with Branin function which has 3 global minima:
The following code snippet shows you the minimization of the Branin function:
import numpy as npdef branin(x): # Branin function has 2 dimensions and it has 3 global mimima x1 = x[0] x2 = x[1] # Global minimum is f(x*)=0.397887 at points (-pi, 12.275), (pi,2.275) and (9.42478, 2.475) # Recommended values of a, b, c, r, s and t for Branin function a = 1 b = 5.1 / (4 * np.pi**2) c = 5. / np.pi r = 6. s = 10. t = 1 / (8 * np.pi) # Calculating separate parts of the function first for verbosity p1 = a * (x2 - (b * x1**2) ...
