• DocumentCode
    3209022
  • Title

    Comparison of Heuristic Algorithms to Solving Mesh Network Path Finding Problem

  • Author

    Kubacki, Jacek ; Koszalka, Leszek ; Pozniak-Koszalka, Iwona ; Kasprzak, Andrzej

  • Author_Institution
    Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2009
  • fDate
    17-19 Dec. 2009
  • Firstpage
    388
  • Lastpage
    392
  • Abstract
    In this paper, we concentrate on efficiency of path finding problem with obstacles. The implemented algorithms for solving such a problem are based on ant colony optimization, genetic algorithm idea, simulated annealing and simple algorithms. The simple algorithms like random search and Nai¿ve algorithm are considered either. As the investigation tool we have designed and implemented computer experimentation system in Java technology. In the paper, the results of some research are reported and discussed. During investigations we focus on such parameters like shape of the mesh and amount of obstacles. The comparison of algorithms properties is made using the introduced indices of performance treated as a measure to effectiveness of examined algorithms.
  • Keywords
    genetic algorithms; search problems; simulated annealing; Java technology; Nai¿ve algorithm; ant colony optimization; computer experimentation system; genetic algorithm; heuristic algorithms; mesh network path finding problem; random search; simulated annealing; Biological cells; Computer science; Costs; Genetic algorithms; Heuristic algorithms; Java; Mesh networks; Shape measurement; Simulated annealing; Temperature; heuristic algorithms; mesh network; obstacles; path finding; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3932-4
  • Electronic_ISBN
    978-1-4244-5467-9
  • Type

    conf

  • DOI
    10.1109/FCST.2009.51
  • Filename
    5392888