Abstract

A sufficient condition for a Pareto minimum point to be a weak minimal solution for a non-convex set-valued optimization problem was derived using radial epiderivatives. The optimality conditions were applied to single-valued convex and non-convex mappings. The conditions were capable of discriminating local minima or maxima from the set of critical points.