• DocumentCode
    2331475
  • Title

    On Dynamic Evolution of Industry Agglomeration Based on Swarm Intelligence

  • Author

    Guan Jun

  • Author_Institution
    Coll. of Econ. & Manage., Beijing Univ. of Technol., Beijing
  • fYear
    2008
  • fDate
    20-20 Nov. 2008
  • Firstpage
    24
  • Lastpage
    28
  • Abstract
    Defects of linear and circular models on industry agglomeration have been illustrated in this paper, with the conclusion that the defects lie in the improper prerequisite of the models, which will lead to false identification of the fundamental impetus of the phenomenon. A dynamic evolution model on industry agglomeration based on swarm intelligence is set up, followed with relevant computer simulation, leading to the finding that the accumulation and diffusion of knowledge is the prime motivation of industry agglomeration.
  • Keywords
    artificial intelligence; digital simulation; industrial engineering; manufacturing industries; organisational aspects; circular model; computer simulation; dynamic evolution model; fundamental impetus; industry agglomeration; linear model; manufacturing organisation; swarm intelligence; Aerospace industry; Cities and towns; Computer industry; Costs; Engineering management; Geography; Industrial economics; Manufacturing industries; Particle swarm optimization; Technology management; computerized simulation; evolution model; industry agglomeration; swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering, 2008. FITME '08. International Seminar on
  • Conference_Location
    Leicestershire, United Kingdom
  • Print_ISBN
    978-0-7695-3480-0
  • Type

    conf

  • DOI
    10.1109/FITME.2008.116
  • Filename
    4746433