Optimality and mixed duality in multiobjective E-convex programming
Guang-Ri Piao, Liguo Jiao, Do Sang Kim · Journal of Inequalities and Applications · 2015
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.