def opt_IA_surrogate_and_search_assist(fun, lbounds, ubounds, budget):
"""Efficient implementation of uniform random search between
`lbounds` and `ubounds`
"""
lbounds, ubounds = np.array(lbounds), np.array(ubounds)
dim, x_min, f_min = len(lbounds), None, None
opt_ia = optIA.OptIA(fun, lbounds, ubounds, ssa=True, sua=True)
max_chunk_size = 1 + 4e4 / dim
x_min = opt_ia.opt_ia(budget)
return x_min
def opt_IA_random_generation(fun, lbounds, ubounds, budget):
"""Efficient implementation of uniform random search between
`lbounds` and `ubounds`
"""
lbounds, ubounds = np.array(lbounds), np.array(ubounds)
dim, x_min, f_min = len(lbounds), None, None
opt_ia = optIA.OptIA(fun, lbounds, ubounds, sobol=False)
max_chunk_size = 1 + 4e4 / dim
x_min = opt_ia.opt_ia(budget)
return x_min