• DocumentCode
    2823295
  • Title

    Sufficient Conditions of e -Optimality Solutions Involving e - Invex Fractional Semi-infinite Programming

  • Author

    Yang, Yong ; Mu, RuiJin ; Lian, TieYan

  • Author_Institution
    Fac. of Sci., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    716
  • Lastpage
    718
  • Abstract
    Some kinds of generalized convex function are defined, which generalize some of the present convex functions. Then, a class of fractional semi-infinite programming involving these generalized convex functions is studied; some interesting sufficient epsiv - optimality conditions are obtained. These results not only extended several present researches, but also can be applied to fractional programming problems arising from portfolio selection, cargo-loading problem, information transfer, agricultural panning, stochastic processes and numerical analysis etc. Theoretically, they are helpful to studying fractional programming.
  • Keywords
    convex programming; generalized convex function; invex fractional semi-infinite programming; optimality solution; Functional programming; Numerical analysis; Portfolios; Process planning; Pulp and paper industry; Resource management; Stochastic processes; Sufficient conditions; Fractional Semi-infinite Programming; e - invex function; e -Optimality Solutions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.243
  • Filename
    5194048