• DocumentCode
    3272437
  • Title

    A new methodology for membership function design using Ant Colony Optimization

  • Author

    Lizarraga Olivas, Evelia ; Castillo, Oscar ; Soria, Jose ; Melin, Patricia

  • Author_Institution
    Tijuana Inst. of Technol., Tijuana, Mexico
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    40
  • Lastpage
    47
  • Abstract
    In this paper we describe a new methodology to optimize fuzzy logic controllers using Ant Colony Optimization (ACO); in particular, the fuzzy logic controller for the water tank benchmark problem. The proposed methodology is applied in the optimization of membership function parameters and type of membership functions, using a set of constraints for the construction of the solution matrix of an ACO algorithm.
  • Keywords
    fuzzy control; optimisation; tanks (containers); water storage; ACO algorithm; ant colony optimization; fuzzy logic controller optimization; membership function design; membership function parameters; solution matrix; water tank benchmark problem; Ant colony optimization; Cities and towns; Fuzzy logic; Fuzzy systems; Optimization; Shape; Storage tanks; Ant Colony Optimization; evolutive computation; fuzzy control systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence (SIS), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/SIS.2013.6615157
  • Filename
    6615157
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3272437