• DocumentCode
    2482530
  • Title

    Tuning of Particle Swarm Optimization Parameter Using Fuzzy Logic

  • Author

    Kumar, Sanjeev ; Chaturvedi, D.K.

  • Author_Institution
    Fac. of Eng., Dayalbagh Educ. Inst., Agra, India
  • fYear
    2011
  • fDate
    3-5 June 2011
  • Firstpage
    174
  • Lastpage
    179
  • Abstract
    In this paper, a fuzzy particle swarm optimization (FPSO) is developed, in which inertia weight is adaptively adjusted using fuzzy logic controller (FLC) during the search process. The FLC presented in this paper has one input and one output FLC into Particle Swarm Optimization (PSO). The effectiveness of proposed FPSO is demonstrated by applying it to four benchmark functions. The simulation result show that FPSO performs better than simple PSO.
  • Keywords
    fuzzy logic; particle swarm optimisation; FPSO; PSO tuning; fuzzy logic controller; particle swarm optimization; Benchmark testing; Convergence; Fuzzy logic; Genetic algorithms; Input variables; Particle swarm optimization; Tuning; Fuzzy Logic Controller; Inertia Weight; Particle Swarm optimization; particle velocity; swarm size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2011 International Conference on
  • Conference_Location
    Katra, Jammu
  • Print_ISBN
    978-1-4577-0543-4
  • Electronic_ISBN
    978-0-7695-4437-3
  • Type

    conf

  • DOI
    10.1109/CSNT.2011.44
  • Filename
    5966430
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2482530