• DocumentCode
    3509512
  • Title

    Current Status of Ant Colony Optimization Algorithm Applications

  • Author

    Wu, Qinghong ; Ma, Zongmin ; Zhang, Ying

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    305
  • Lastpage
    308
  • Abstract
    As a novel evolutionary computation technology, swarm intelligence is now becoming a new research hotspot. As a representative method of swarm intelligence, ant colony optimization (ACO) is a novel simulated evolutionary algorithm which was proposed first by M. Dorigo and has been applied in many fields. The current status of ACO applications is given in this paper.
  • Keywords
    evolutionary computation; ant colony optimization algorithm application; evolutionary computation technology; simulated evolutionary algorithm; swarm intelligence; ACO; TSP; swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining (WISM), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8438-6
  • Type

    conf

  • DOI
    10.1109/WISM.2010.102
  • Filename
    5662869
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3509512