• DocumentCode
    1436032
  • Title

    Genetic algorithm simulation approach to determine membership functions of fuzzy traffic controller

  • Author

    Kim, J.Y. ; Kim, B.M. ; Kim, J.W.

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Taegu Univ., Kyungpook, South Korea
  • Volume
    34
  • Issue
    20
  • fYear
    1998
  • fDate
    10/1/1998 12:00:00 AM
  • Firstpage
    1982
  • Lastpage
    1983
  • Abstract
    A genetic algorithm (GA) is used to determine membership functions in situations where fuzzy traffic control rules are given by human operators. To find membership functions showing good performance, the authors use a simulation approach while conventional methods are used to compute mathematical functions. In the simulation approach, the fitness value of a chromosome is determined by the use of a performance measure that is obtained by a traffic simulator
  • Keywords
    fuzzy control; genetic algorithms; road traffic; traffic control; chromosome; fitness value; fuzzy traffic controller; genetic algorithm simulation approach; mathematical functions; membership functions; performance measure;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19981369
  • Filename
    722068