• DocumentCode
    3231966
  • Title

    Union-Intersection Ant System

  • Author

    Wang, Jinbiao ; Wang, Kaichi

  • Author_Institution
    Comput. Sci. & Technol. Coll., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    364
  • Lastpage
    371
  • Abstract
    Union-Intersection Ant System is an optimization algorithm with multi-nest of ants cooperating with each other, whose goal is to identify the edges belonging to the solution of TSP (denoted as TSP-edge-set). It identifies a part of elements in TSP-edge-set by the intersection of several hero ants´ tours (a hero ant is the one found the best tour in a nest) during an iteration and provides a collapsed solution space for future iterations by the union of these tours, thus a rapid solution to large-scale TSPs comes true. Experiments on the TSP instances with several thousands of cities from TSPLIB show that the convergence time of Union-Intersection Ant System has been significantly compressed compared to MMAS on the premise of the solution quality not worse than that of MMAS, thus the scale of the TSPs solved can reach up to 10000 cites or more. Union-Intersection Ant System is feasible.
  • Keywords
    iterative methods; travelling salesman problems; iteration; optimization algorithm; travelling salesman problem-edge-set; union-intersection ant system; Artificial neural networks; Cities and towns; Wireless sensor networks; ACO; Ant System; TSP-edge-set; TSP-related degree; intersection; large scale; union;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645301
  • Filename
    5645301