• DocumentCode
    230097
  • Title

    An interval type-2 fuzzy logic system for dynamic parameter adaptation in particle swarm optimization

  • Author

    Olivas, Frumen ; Valdez, Fevrier ; Castillo, Oscar

  • Author_Institution
    Tijuana Inst. of Technol., Tijuana, Mexico
  • fYear
    2014
  • fDate
    24-26 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we propose an interval type-2 fuzzy logic system for dynamic parameter adaptation in particle swarm optimization (PSO); the main contribution of this paper is an improvement of PSO in its abilities to search in a global and local fashion, by dynamically changing some of its parameters using an interval type-2 fuzzy logic system.
  • Keywords
    fuzzy logic; particle swarm optimisation; PSO; dynamic parameter adaptation; interval type-2 fuzzy logic system; particle swarm optimization; Convergence; Force; Fuzzy logic; Fuzzy systems; Particle swarm optimization; Social factors; Space exploration; Dynamic Parameter Adaptation; PSO; Particle Swarm Optimization; Type-2 Fuzzy Logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NORBERT.2014.6893881
  • Filename
    6893881
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=230097