• DocumentCode
    3344551
  • Title

    Application of Particle Swarm Optimization to Seismic Location

  • Author

    Han Dong-xue ; Wang Gai-Yun

  • Author_Institution
    Sch. of Comput. & Control, Guilin Univ. of Electron. & Technol., Guilin, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    641
  • Lastpage
    644
  • Abstract
    The particle swarm optimization (PSO) is an adaptive optimization based on swarm intelligence. The basic principle and the method of it being used in seismic location were introduced. To get a more accurate result, the objective function is the residual square sum of the observational travel-time and theoretical travel-time of the same earthquake return two stations. Compared with Genetic Algorithm on Seismic Location, PSO, after numerous experiments, proved its distinct superiority to locate the hypocenter more quickly and accurately. PSO is potentially useful for seismic location.
  • Keywords
    earthquakes; geophysical techniques; particle swarm optimisation; seismic waves; seismology; PSO; adaptive optimization; earthquake travel-time; genetic algorithm; particle swarm optimization; seismic location; seismology; swarm intelligence; Adaptive control; Application software; Birds; Computer applications; Earthquakes; Genetic algorithms; Optimization methods; Particle swarm optimization; Programmable control; Seismology; double-difference; genetic algorithm; particle swarm optimization; seismic location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.48
  • Filename
    5402755