In this survey paper we present the existing generalizations of the proximal point method
from scalar to vector optimization problems, discussing some of their advantages and …

We study the convergence of a modified proximal point method for DC functions in
Hadamard manifolds. We use the iteration computed by the proximal point method for DC …

We introduce a proximal algorithm using quasidistances for multiobjective minimization
problems with quasiconvex functions defined in arbitrary Riemannian manifolds. The reason …

This article has two objectives. Firstly, we use the vector variational-like inequalities
problems to achieve local approximate (weakly) efficient solutions of the vector optimization …

In this paper we introduce a definition of approximate Pareto efficient solution as well as a
necessary condition for such solutions in the multiobjective setting on Riemannian …

Na grande maioria dos casos, problemas de otimização envolvem minimizar (ou maximizar)
funções de uma ou mais variáveis em um determinado domínio. Visando resolver esse tipo …

This is to give a short history of our multimap classes K, KC, KO in the KKM theory. We show
that many authors adopted or imitated the inadequate definition of the KKM class due to …