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http://dx.doi.org/10.4134/CKMS.2013.28.2.419

ROBUST DUALITY FOR GENERALIZED INVEX PROGRAMMING PROBLEMS  

Kim, Moon Hee (School of Free Major Tongmyong University)
Publication Information
Communications of the Korean Mathematical Society / v.28, no.2, 2013 , pp. 419-423 More about this Journal
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;
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