• DocumentCode
    3105876
  • Title

    NW-based Particle Swarm Optimization

  • Author

    Zhou, Xiaobo

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    Topology structure is a key issue for the performance of particle swarm optimization (PSO). A good structure selection may provide more chance to escape from a local optimum. In this paper, a new topology structure - Newman and Watts model is introduced to increase the performance particle swarm optimization and is called NWPSO. In NWPSO, the topology is changed according to Newman and Watts rules within the whole evolutionary process. Simulation results show the proposed algorithm is superior to other three variants of PSO.
  • Keywords
    particle swarm optimisation; particle swarm optimization; topology structure; Computational modeling; Equations; Heuristic algorithms; Mathematical model; Particle swarm optimization; Simulation; Topology; Newman and Watts model; particle swarm optimization; topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-8785-1
  • Type

    conf

  • DOI
    10.1109/CASoN.2010.11
  • Filename
    5636813
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3105876