On Multiple-Objective Optimization with Generalized Univexity

dc.contributor.author	Mishra S.K.
dc.date.accessioned	2025-05-24T09:56:11Z
dc.description.abstract	A multiple-objective optimization problem involving generalized univex functions is considered. Kuhn-Tucker type sufficient optimality conditions are obtained for a feasible point to be an efficient or properly efficient solution. Mond-Weir type duality results are obtained. Further, a vector-valued Lagrangian is introduced and certain vector saddlepoint results are presented. © 1998 Academic Press.
dc.identifier.doi	https://doi.org/10.1006/jmaa.1998.5992
dc.identifier.uri	http://172.23.0.11:4000/handle/123456789/20728
dc.relation.ispartofseries	Journal of Mathematical Analysis and Applications
dc.title	On Multiple-Objective Optimization with Generalized Univexity

Collections