skopt.benchmarks.branin

skopt.benchmarks.branin(x, a=1, b=0.12918450914398066, c=1.5915494309189535, r=6, s=10, t=0.039788735772973836)

Branin-Hoo function is defined on the square \(x1 \in [-5, 10], x2 \in [0, 15]\).

It has three minima with f(x*) = 0.397887 at x* = (-pi, 12.275), (+pi, 2.275), and (9.42478, 2.475).

More details: <http://www.sfu.ca/~ssurjano/branin.html>

Examples using skopt.benchmarks.branin

Parallel optimization

Comparing surrogate models

Comparing initial point generation methods

Visualizing optimization results