(1) Department of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, People’s Republic of China;(2) Department of Mathematics, Suzhou University, Suzhou, Jiangsu, People’s Republic of China
Abstract:
In the framework of locally convex topological vector spaces, we establish a scalarization theorem, a Lagrange multiplier
theorem and duality theorems for superefficiency in vector optimization involving nearly subconvexlike set-valued maps.