Antczak, T. (2015) Saddle Point Criteria and Wolfe Duality in Nonsmooth Φ, p-Invex Vector Optimization Problems with Inequality and Equality Constraints. International Journal of Computer Mathematics, 92, 882-907.
http://dx.doi.org/10.1080/00207160.2014.925191

has been cited by the following article:

• TITLE: Mixed Saddle Point and Its Equivalence with an Efficient Solution under Generalized (V, p)-Invexity

  AUTHORS: Arvind Kumar, Pankaj Kumar Garg

  KEYWORDS: Nonsmooth Multiobjective Programs, (V, p)-Invexity, Mixed Saddle Point, Vector-Valued Mixed Lagrangian Function

  JOURNAL NAME: Applied Mathematics, Vol.6 No.9, August 24, 2015

  ABSTRACT: The purpose of this paper is to define the concept of mixed saddle point for a vector-valued Lagrangian of the non-smooth multiobjective vector-valued constrained optimization problem and establish the equivalence of the mixed saddle point and an efficient solution under generalized (V, p)-invexity assumptions.