• DocumentCode
    2968875
  • Title

    An effective linear approximation method for geometric programming problems

  • Author

    Huang, Chia-Hui ; Kao, Han-Ying

  • Author_Institution
    Dept. of Inf. Manage., Kainan Univ., Taoyuan, Taiwan
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1743
  • Lastpage
    1747
  • Abstract
    A geometric program (GP) is a type of mathematical optimization problem characterized by objective and constraint functions, where all functions are of posynomial form. The importance of GP comes from two relatively recent developments: (i) new solution methods can solve even large-scale GP extremely efficiently and reliably; (ii) a number of practical problems have recently been found to be equivalent to or approximated by GP. This study proposes an effective linear approximation method for solving geometric programming problems.
  • Keywords
    approximation theory; geometric programming; constraint functions; effective linear approximation method; geometric programming problems; mathematical optimization problem; objective functions; posynomial form; Constraint optimization; Functional programming; Genetic programming; Information management; Information science; Large-scale systems; Linear approximation; Linear programming; Mathematical programming; Polynomials; Geometric programming problem; linear approximation method; posynomial function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373154
  • Filename
    5373154