DocumentCode
477741
Title
Saddle Point and Duality for Vector Optimization with Generalized Convexity
Author
Xu, Shuli ; Jiang, Jun
Author_Institution
Syst. Sci. Centre, Wuhan Univ. of Sci. & Technol., Wuhan
Volume
1
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
635
Lastpage
638
Abstract
In this paper, the saddle point optimality conditions and Lagrange dual problems of vector optimization for nearly convex function are studied. The optimality conditions of Fritz John and Kuhn-Tucker saddle points and their relations to the efficient solutions and weak efficient solutions are presented.
Keywords
convex programming; vectors; Lagrange dual problems; duality; generalized convexity; nearly convex function; saddle point; vector optimization; Educational institutions; Fuzzy systems; Lagrangian functions; Lagrange duality; Nearly convex functions; Saddle point;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.387
Filename
4666053
Link To Document