Saddle Point and Duality for Vector Optimization with Generalized Convexity

被引：0
|
作者：
Xu, Shuli [1 ]
Jiang, Jun [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Syst Sci Ctr, Coll Sci, Wuhan 430065, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS | 2008年
关键词：
Nearly convex functions; saddle point; Lagrange duality;
D O I：
10.1109/FSKD.2008.387
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 axe presented.
引用
收藏
页码：635 / 638
页数：4
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