%0 Journal Article
%T Non-differentiable multiobjective mixed symmetric duality under generalized convexity
%A Li Jueyou
%A Gao Ying
%J Journal of Inequalities and Applications
%D 2011
%I Springer
%X The objective of this paper is to obtain a mixed symmetric dual model for a class of non-differentiable multiobjective nonlinear programming problems where each of the objective functions contains a pair of support functions. Weak, strong and converse duality theorems are established for the model under some suitable assumptions of generalized convexity. Several special cases are also obtained. MS Classification: 90C32; 90C46.
%K symmetric duality
%K non-differentiable nonlinear programming
%K generalized convexity
%K support function
%U http://www.journalofinequalitiesandapplications.com/content/2011/1/23