• DocumentCode
    3655651
  • Title

    Compare Ant-colony and Genetic algorithm for shortest path problem and introduce their parallel implementations

  • Author

    Geza Katona;Janos Juhasz;Balázs Lenart

  • Author_Institution
    Dept. of Transp. Technol. &
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    312
  • Lastpage
    319
  • Abstract
    There are several algorithms which calculates shortest path, but most of them are not enough fast, effective and they provide only one solution. Therefore our investigation tries to find one alternative algorithm for this problem. In this paper it is described how Ant-colony and the Genetic algorithm can be applied for multimodal transportation systems and tests have been made to find the best parameters of these methods. Parallel methods are being introduced, as these methods are more effective and more applicable to Cloud based systems. It has been simulated in a multi-threaded server but it could also be used in a distributed computing system.
  • Keywords
    "Genetic algorithms","Biological cells","Intelligent transportation systems","Economics","Sociology","Statistics","Standards"
  • Publisher
    ieee
  • Conference_Titel
    Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on
  • Print_ISBN
    978-9-6331-3140-4
  • Type

    conf

  • DOI
    10.1109/MTITS.2015.7223273
  • Filename
    7223273