  We propose and assess a new global (derivative-free) optimization algorithm,
inspired by the LIPO algorithm, which uses variance-based sensitivity analysis
(Sobol indices) to reduce the number of calls to the objective function. This
method should be efficient to optimize costly functions satisfying the
sparsity-of-effects principle.
