• DocumentCode
    3234673
  • Title

    Several Optimality Sufficient Conditions of Composite Multiobjective Programming

  • Author

    Gao, Leifu ; Hou, Feifei

  • Author_Institution
    Sch. of Sci., Liaoning Eng. Technol. Univ., FuXin, China
  • fYear
    2010
  • fDate
    21-24 Oct. 2010
  • Firstpage
    255
  • Lastpage
    257
  • Abstract
    The composite vector function is introduced, which is applied to multiobjective programming with equality constraints and inequality constraints, three theorems on the optimality sufficient condition are established in this article. on the Banach space,optimality of composite function and pseudoconvex and strictly pseudo-convex of composite function are redefined. We introduce Jacobian matrix and knowledge of norm approximation. Several optimality sufficient conditions are given on pseudoconvex and strictly pseudo-convex in some part of the objective function and constraints.
  • Keywords
    Jacobian matrices; approximation theory; convex programming; Banach space; Jacobian matrix; composite multiobjective programming; composite vector function; equality constraints; inequality constraints; nonlinear programming; norm approximation; objective function; pseudo-convex; Cities and towns; Educational institutions; Jacobian matrices; Optimization; Programming profession; Sufficient conditions; composite multiobjective programming; efficient solution; optimality condition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Distributed Computing (ICNDC), 2010 First International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-8382-2
  • Type

    conf

  • DOI
    10.1109/ICNDC.2010.58
  • Filename
    5645438