  We provide preliminary details and formulation of an optimization strategy
under current development that is able to automatically tune the parameters of
a Support Vector Machine over new datasets. The optimization strategy is a
heuristic based on Iterated Local Search, a modification of classic hill
climbing which iterates calls to a local search routine.
