• DocumentCode
    982871
  • Title

    Neighborhood topologies in fully informed and best-of-neighborhood particle swarms

  • Author

    Kennedy, Jessie ; Mendes, R.

  • Author_Institution
    U.S. Bur. of Labor Stat., Washington, DC
  • Volume
    36
  • Issue
    4
  • fYear
    2006
  • fDate
    7/1/2006 12:00:00 AM
  • Firstpage
    515
  • Lastpage
    519
  • Abstract
    In this study, we vary the way an individual in the particle swarm interacts with its neighbors. The performance of an individual depends on population topology as well as algorithm version. It appears that a fully informed particle swarm is more susceptible to alterations in the topology, but with a good topology, it can outperform the canonical version
  • Keywords
    particle swarm optimisation; psychology; social sciences; particle swarm optimization; population topology; social-psychological model; Emulation; Feedforward neural networks; Humans; Informatics; Network topology; Neural networks; Particle swarm optimization; Social network services; Statistics; Testing; Algorithms; optimization; particle swarm;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2006.875410
  • Filename
    1643842