• 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