Saddle-point Condition for Fractional Programming

被引:7
|
作者
Li, Xiangyou [1 ]
机构
[1] Yanan Univ, Coll Math & Comp Sci, Yanan 716000, Shaanxi, Peoples R China
关键词
B; -; (p; r; a)-invex function; fractional programming; saddle point; incomplete Lagrange function; DUALITY; OPTIMALITY; B-(P;
D O I
10.1109/CIS.2012.26
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, new classes of generalized invex functions called B - (p,r,a)-invex, B - (p,r,a)-quasi invex and B - (p,r,a)-pseudo invex functions are introduced, which are defined by relaxing the definitions of B - (p, r)-invex, B - (p,r)-quasi-invex, B (p,r)-pseudo-invex functions, an incomplete Lagrange function is defined to study saddle point optimality criteria for minimax fractional programming under generalized convexity assumptions, the necessary conditions for saddle point are obtained under weeker convexity. These results further extended generalized fractional programming problems.
引用
收藏
页码:82 / 85
页数:4
相关论文
共 50 条