Proximal point algorithm for differentiable quasi-convex multiobjective optimization

Abstract

The main aim of this paper is to consider the proximal point method for solving multiobjective optimization problem under the differentiability, locally Lipschitz and quasi-convex conditions of the cost function. The control conditions to guarantee that the accumulation points of any generated sequence, are Pareto critical points are provided.