Introduction - If you have any usage issues, please Google them yourself
We consider the problem of minimizing a continuously differentiable function of several variables subject to
simple bound constraints where some of the variables are restricted to take integer values. We assume that
the first order derivatives of the objective function can be neither calculated nor approximated explicitly.
This class of mixed integer nonlinear optimization problems arises frequently in many industrial and
scientific applications and this motivates the increasing interest in the study of derivative-free methods
for their solution. The continuous variables are handled by a linesearch strategy whereas to tackle
the discrete ones we employ a local search-type approach. We propose different algorithms which are
characterized by the way the current iterate is updated and by the stationarity conditions satisfied by the
limit points of the sequences they produce.