Yet another black-box optimization library for Python
Yabox is a very small library for black-box (derivative free) optimization of functions that only depends on numpy and matplotlib for visualization. The library includes different stochastic algorithms for minimizing a function f(X) that does not need to have an analytical form, where X = {x1, ..., xN}.
The current version of the library includes the Differential Evolution algorithm and a modified version for parallel evaluation.
Example of minimization of the Ackley function (using Yabox and Differential Evolution):
Yabox includes some default benchmark functions used in black-box optimization, available in the package yabox.problems. These functions also include 2D and 3D plotting capabilities:
from yabox.problems import CrossInTray
cross = CrossInTray()
cross.plot3d()
Example using Differential Evolution
