• DocumentCode
    2217886
  • Title

    Modification of the Bat Algorithm using fuzzy logic for dynamical parameter adaptation

  • Author

    Perez, Jonathan ; Valdez, Fevrier ; Castillo, Oscar

  • Author_Institution
    Tijuana Institute of Technology, Tijuana, México
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    464
  • Lastpage
    471
  • Abstract
    We describe in this paper the Bat Algorithm and a proposed enhancement using a fuzzy system to dynamically adapt its parameter, original method is compared with the proposed method and also compared with genetic algorithm, providing a more complete analysis of the effectiveness of the bat algorithm. Simulation results on a set of mathematical functions with the fuzzy bat algorithm outperform the traditional bat algorithm and genetic algorithms.
  • Keywords
    Algorithm design and analysis; Benchmark testing; Genetic algorithms; Heuristic algorithms; Simulation; Sociology; Statistics; Bat Algorithm; Fuzzy System; Genetic Algorithm; Mathematical Functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7256926
  • Filename
    7256926
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2217886