• DocumentCode
    2998315
  • Title

    Empirical study of particle swarm optimizer with an increasing inertia weight

  • Author

    Zheng, Yong-ling ; Ma, Long-hua ; Zhang, Li-yan ; Qian, Ji-Xin

  • Author_Institution
    Dept. of Control Sci. & Eng., Zheijiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    221
  • Abstract
    A PSO with increasing inertia weight, distinct from a widely used PSO with decreasing inertia weight, is proposed in this paper. Four standard test functions with asymmetric initial range settings are used to confirm its validity. From the experiments, it is clear that a PSO with increasing inertia weight outperforms the one with decreasing inertia weight, both in convergent speed and solution precision, with no additional computing load compared with the PSO with a decreasing inertia weight.
  • Keywords
    artificial life; convergence; evolutionary computation; optimisation; search problems; asymmetric initial range settings; computing load; convergent speed; inertia weight; particle swarm optimizer; standard test functions; Benchmark testing; Birds; Control systems; Equations; Insects; Integrated circuit modeling; Particle swarm optimization; Performance analysis; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299578
  • Filename
    1299578