DocumentCode
2876832
Title
Saddle-point Condition for Fractional Programming
Author
Xiangyou Li
Author_Institution
Coll. of Math. & Comput. Sci., Vanan Univ., Van´an, China
fYear
2012
fDate
17-18 Nov. 2012
Firstpage
82
Lastpage
85
Abstract
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.
Keywords
convex programming; minimax techniques; vectors; Lagrange function; generalized convexity assumption; generalized fractional programming problem; generalized invex function; minimax fractional programming; pseudo invex function; quasiinvex function; saddle point optimality criteria; saddle-point condition; Computational intelligence; Educational institutions; Mathematical programming; Programming; Security; B - (p; a)-invex function; fractional programming; incomplete Lagrange function; r; saddle point;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-4725-9
Type
conf
DOI
10.1109/CIS.2012.26
Filename
6405871
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