• DocumentCode
    1677111
  • Title

    An Improvement to the Coordination Method of Ant Colony Algorithm

  • Author

    Meng, Xiangping ; Shen, Zhongyu ; Yue, Ye ; Pi, Yuzhen ; Tan, Wanyu

  • Author_Institution
    Changchun Inst. of Technol., Changchun, China
  • fYear
    2012
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    The ant colony algorithm has two disadvantages: slow convergence and precocity. Aiming at the disadvantage of slow convergence speed, this paper proposed a new kind of pheromone named Directed Pheromone. Using the Directed Pheromone to enhance the pheromone trails on the shorter arcs in order to speed the algorithm´s convergence. Besides, a new parameter is proposed to select arcs with low pheromone trails. Examples of TSP are used to compare the improved ant colony algorithm with basic ones. The simulation experiments show that the improved algorithm has faster convergence speed and more precise calculation results.
  • Keywords
    ant colony optimisation; convergence; ant colony algorithm; convergence speed; coordination method; directed pheromone; pheromone trail; Automation; Cities and towns; Convergence; Educational institutions; Heuristic algorithms; Optimization; Traveling salesman problems; ACO; Directed pheromone; TSP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-1-4673-0458-0
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2012.34
  • Filename
    6178463