• DocumentCode
    3444726
  • Title

    The direction of family particle swarm optimization

  • Author

    An, Zhenzhou ; Shi, Xinling ; Zhang, Junhua

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
  • Volume
    3
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    In our previous study, the family particle swarm optimization (FPSO) was proposed. In this study, we investigate the direction of the FPSO. To improve particles´ abilities of moving to the global optimization position and to accelerate the convergence of FPSO, we defined the direction coefficient and proposed the directional FPSO (d-FPSO). In a family, the flight of a particle referred to the flying directions of other particles. Simulations for six benchmark functions demonstrated that with the proposed direction coefficient particles had stronger intelligence and the convergence speed was increased. Therefore, the directions of particles had very important meaning of guidance.
  • Keywords
    convergence of numerical methods; multi-agent systems; particle swarm optimisation; vectors; coefficient particle; direction coefficient; family particle swarm optimization; flying direction; global optimization; Particle swarm optimization(PSO); direction; family; vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658555
  • Filename
    5658555