BayesOpt already incorporates many different kernels which can be combined using
kProd to create more complex ones.
Currently missing is the possibility to specify a periodic kernel like:
Looking at the class hierarchy I would implement an isotropic and ARD version of the kernel. Do you think this is the right approach?