• DocumentCode
    3268924
  • Title

    Architecture of virus evolutionary genetic algorithm for car navigation system

  • Author

    Yoshikawa, Masaya ; Terai, Hidekazu

  • Author_Institution
    Meijo Univ., Nagoya
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    915
  • Lastpage
    918
  • Abstract
    This route selection is an important problem for a car navigation system. In general car navigation system, the Dijkstra algorithm (DA) is used as route selection algorithm. From the viewpoint of practical convenience of the driver, we assume a route selection model that a driver must visit at shops (for example, restaurant) on the way to a destination, but it is not necessary for these shops to be specific shops. Several studies have dealt with conducted this problem using virus genetic algorithm (VGA). However, the VGA requires much calculation time, because VGA is multipoint search algorithm. In this paper, we propose an architecture for high-speed car navigation system based on VGA. Moreover, the route guidance function for sightseeing is newly added to the proposed architecture. The proposed architecture, implemented on the field-programmable gate array (FPGA), achieves high-speed processing. Measurement evaluating the proposed architecture demonstrated speeds 20 times greater than software processing.
  • Keywords
    field programmable gate arrays; genetic algorithms; logic design; microprocessor chips; road vehicles; traffic engineering computing; Dijkstra algorithm; car navigation system; field-programmable gate array; route guidance; route selection; system architecture; virus evolutionary genetic algorithm; Computer architecture; Evolution (biology); Field programmable gate arrays; Genetic algorithms; Genetic engineering; Hardware; Navigation; Roads; Software measurement; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
  • Conference_Location
    Montreal, Que.
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-1175-7
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2007.4488717
  • Filename
    4488717