• DocumentCode
    714364
  • Title

    The comparison of A* algorithm and Ant Colonial Optimization for mobile traveler application

  • Author

    Aydin, Ahmet ; Telceken, Sedat

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Anadolu Univ., Eskişehir, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    491
  • Lastpage
    494
  • Abstract
    In this paper, a route planning application has been developed for mobile devices. The goal was to select the algorithm that computes the route in the shortest amount of time. To this end, a database containing information and high-resolution pictures of the touristic locations in Eskisehir province have been created. For each interest point in the database, optimal routes have been computed using such complete search algorithms as A* and Ant Colonial Optimization found in the literature. The experimental work has shown that A* algorithm runs up to 80% faster than the Ant Colonial Optimization as the number of interest points increases.
  • Keywords
    ant colony optimisation; database management systems; mobile computing; travel industry; A* algorithm; Eskisehir province; ant colonial optimization; database; high-resolution pictures; mobile devices; mobile traveler application; route planning application; touristic locations; Artificial intelligence; Computers; Databases; Mobile communication; Optimization; Planning; Reactive power; A* algorithm; Ant Colonial Optimization; Mobile application; Route planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129866
  • Filename
    7129866