Optimality and mixed duality in multiobjective E -convex programming

Journal of inequalities and applications

Guang-Ri Piao¹ 

关键词: E-convex function;    mixed duality;    multiobjective programming;    optimality condition;    90C29;    90C30;    69K05;   

DOI  :  10.1186/s13660-015-0854-6

学科分类：数学（综合）

来源: SpringerOpen

【 摘 要 】

In this paper, we consider a class of multiobjective E-convex programming problems with inequality constraints, where the objective and constraint functions are E-convex functions which were firstly introduced by Youness (J. Optim. Theory Appl. 102:439-450, 1999). Fritz-John and Kuhn-Tucker necessary and sufficient optimality theorems for the multiobjective E-convex programming are established under the weakened assumption of the theorems in Megahed et al. (J. Inequal. Appl. 2013:246, 2013) and Youness (Chaos Solitons Fractals 12:1737-1745, 2001). A mixed duality for the primal problem is formulated and weak and strong duality theorems between primal and dual problems are explored. Illustrative examples are given to explain the obtained results.

【 授权许可】

CC BY