Communications of the
Korean Mathematical Society
CKMS

ISSN(Print) 1225-1763 ISSN(Online) 2234-3024

Article

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Commun. Korean Math. Soc. 2013; 28(2): 419-423

Printed April 1, 2013

https://doi.org/10.4134/CKMS.2013.28.2.419

Copyright © The Korean Mathematical Society.

Robust duality for generalized invex programming problems

Moon Hee Kim

Tongmyong University

Abstract

In this paper we present a robust duality theory for generalized convex programming problems under data uncertainty. Recently, Jeyakumar, Li and Lee [Nonlinear Analysis 75 (2012), no. 3, 1362--1373] established a robust duality theory for generalized convex programming problems in the face of data uncertainty. Furthermore, we extend results of Jeyakumar, Li and Lee for an uncertain multiobjective robust optimization problem.

Keywords: robust multiobjective optimization, robust weakly efficient solution, necessary optimality theorem, Wolfe type robust duality