• DocumentCode
    461693
  • Title

    A Novel Method for Solving Nonlinear Bilevel Programming Based on hybrid Particle Swarm Optimization

  • Author

    Pei, Zhenkui ; Tian, ShengFeng ; Huang, Houkuan

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing
  • Volume
    3
  • fYear
    2006
  • fDate
    16-20 Nov. 2006
  • Abstract
    Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was introduced, as it is easily understand and realized. For nonlinear bilevel programming whose leader is a nonlinear function, a hybrid PSO algorithm with a simplex algorithm is presented. So far using PSO to solve the nonlinear bilevel programming problem has not been found in the literature. Some numerical examples are given to verify the effectiveness of proposed approach.
  • Keywords
    nonlinear functions; nonlinear programming; particle swarm optimisation; hybrid particle swarm optimization; nonlinear bilevel programming; nonlinear function; Birds; Convergence; Educational institutions; Evolutionary computation; Information technology; Linear programming; Mathematical programming; NP-hard problem; Particle swarm optimization; Petroleum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.345738
  • Filename
    4129231