This paper deals with higher-order optimality conditions and duality theory for approximate solutions in vector optimization involving non-convex set-valued maps.Firstly,under the assumption of near cone-subconvexlike...This paper deals with higher-order optimality conditions and duality theory for approximate solutions in vector optimization involving non-convex set-valued maps.Firstly,under the assumption of near cone-subconvexlikeness for set-valued maps,the higher necessary and sufficient optimality conditions in terms of Studniarski derivatives are derived for local weak approximate minimizers of a set-valued optimization problem.Then,applications to Mond-Weir type dual problem are presented.展开更多
基金supported by Natural Science Foundation of China government under Grant No.11861002Natural Science Foundation of Ningxia under Grant No.NZ17112+3 种基金First-Class Disciplines Foundation of Ningxia under Grant No.NXYLXK2017B09The Key Project of North Minzu University under Grant No.ZDZX201804Graduate Innovation Project of North Minzu University No.YCX19122Nonlinear analysis and financial optimization research center of North Minzu University
文摘This paper deals with higher-order optimality conditions and duality theory for approximate solutions in vector optimization involving non-convex set-valued maps.Firstly,under the assumption of near cone-subconvexlikeness for set-valued maps,the higher necessary and sufficient optimality conditions in terms of Studniarski derivatives are derived for local weak approximate minimizers of a set-valued optimization problem.Then,applications to Mond-Weir type dual problem are presented.
