• DocumentCode
    3663992
  • Title

    Proposed augmentation of the Bat Algorithm using fuzzy logic for dynamic parameter adaptation

  • Author

    Jonathan Pérez;Fevrier Valdez;Oscar Castillo

  • Author_Institution
    Tijuana Institute of Technology, Mé
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We describe in this paper the Bat Algorithm and a proposed enhancement using a fuzzy system to dynamically adapt its parameter. The original method is compared with the proposed method and also compared with the 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
    "Genetic algorithms","Heuristic algorithms","Algorithm design and analysis","Simulation","Fuzzy systems","Benchmark testing","Sociology"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
  • Type

    conf

  • DOI
    10.1109/NAFIPS-WConSC.2015.7284132
  • Filename
    7284132
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3663992