On a Nonsmooth Vector Optimization Problem with Generalized Cone Invexity
Hehua Jiao, Sanyang Liu · Abstract and Applied Analysis · 2012
By using Clarke’s generalized gradients we consider a nonsmooth vector optimization problem with cone constraints and introduce some generalized cone‐invex functions called K‐α‐generalized invex, K‐α‐nonsmooth invex, and other related functions. Several sufficient optimality conditions and Mond‐Weir type weak and converse duality results are obtained for this problem under the assumptions of the generalized cone invexity. The results presented in this paper generalize and extend the previously known results in this area.