• DocumentCode
    2148763
  • Title

    Modified particle swarm optimization for unconstrained optimization

  • Author

    Zhou, Zhigang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Dezhou Univ., Dezhou, China
  • Volume
    5
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    This paper presents a modified particle swarm optimization (PSO) algorithm to improve the performance of standard PSO. The proposed approach is called HPSO, which modifies the original velocity updating equation of PSO. In order to verify the performance of HPSO, we test it on ten well-known benchmark optimization functions. The simulation results show that HPSO obtains better performance than standard PSO on majority of test functions.
  • Keywords
    particle swarm optimisation; benchmark optimization functions; modified particle swarm optimization; test functions; unconstrained optimization; velocity updating equation; Benchmark testing; Birds; Computational intelligence; Computational modeling; Computer science; Equations; Learning systems; Particle swarm optimization; Space exploration; evolutionary optimization; particle swarm optimization (PSO); unconstrained optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451219
  • Filename
    5451219