Is it possible to perform a continuous problem with this package?

[shane328]

I'm a very beginner in Python and want to know if it's possible to do an optimization for n-dimensions Rosenbrock's function with this package

It's sad that the part of "class TravellingSalesmanProblem" in example is too difficult for me to understand and therefore couldn't edit it as a suitable form for continuous problem

Here is an example I wrote to define 3D-Rosenbrock's function and the initial solution, initial objective value for SA:

`def rosen(x):
"""The Rosenbrock function"""
return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)

Initial solution you'd like to start at

X0 = np.array([2, 1, 1.5])

Initial objective value of Rosenbrock's test function

of_int = rosen(X0)`

Hope someone could help me with an easy example!
Thanks in advance!