CONJUGATE DUALITY FOR SET-VALUED VECTOR OPTIMIZATION IN FINITE DIMENSIONAL SPACES
Shui-Jing Yun, Guoyong Liu, Li-Ping Pang · 2009
In this paper, we consider conjugate duality theorem in set-valued vector optimization. New perturbation function is presented for a class of set- valued vector optimization, in order to obtain corresponding conjugate duality optimization and duality theorems. We show under a stability criteria that the form of weak and strong duality becomes simple, general and convenient in