Weak-stability and saddle point theorems for a multiobjective optimization problem with an infinite number of constraints

Authors

TA QUANG SON
CHING FENG WEN

DOI

10.3906/mat-1812-16

Abstract

In this paper, we focus on weak-stability and saddle point theorems of multiobjective optimization problems that have an infinite number of constraints. The obtained results are based on the notion of weak-subdifferentials for vector functions. Some properties of weak stability for the problems are introduced. Relationships between strong duality and saddle points of the augmented Lagrange vector functions associated to the problems are investigated. Connections between weak-stability and saddle point theorems of the problems are established. An example is given.

Keywords

Weak-subdifferential, Weak-stability, Strong duality, Saddle point theorem

First Page

1953

Last Page

1966

Recommended Citation

SON, TA QUANG and WEN, CHING FENG (2019) "Weak-stability and saddle point theorems for a multiobjective optimization problem with an infinite number of constraints," Turkish Journal of Mathematics: Vol. 43: No. 4, Article 11. https://doi.org/10.3906/mat-1812-16
Available at: https://journals.tubitak.gov.tr/math/vol43/iss4/11