• DocumentCode
    3370377
  • Title

    The research of task assignment based on Ant Colony Algorithm

  • Author

    Wang, Ziniu ; Li, Song ; Wang, Yan ; Li, Shaobo

  • Author_Institution
    Center of Informationization Manage., Guizhou Univ., Guiyang, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    2334
  • Lastpage
    2339
  • Abstract
    Ant Colony Algorithm newly appears as a heuristic algorithm, which has received much attention recently. It is applied to the assignment problem and an improved algorithm is presented to raise the search ability for the global optimization. The assignment problem based on the Ant Colony Algorithm is briefly introduced, and then the mathematical description and the procedure of the Ant Colony Algorithm problem are given. Base on that, the real case is given to demonstrate the superiority of the Ant Colony Algorithm.
  • Keywords
    human resource management; optimisation; scheduling; search problems; ant colony algorithm; global optimization; heuristic algorithm; human resources scheduling; search ability; task assignment; Ant colony optimization; Automation; Conference management; Contracts; Educational institutions; Feedback; Heuristic algorithms; Humans; Mechatronics; Scheduling; Ant Colony Algorithm; Improved Ant Colony Algorithm; Positive Feedback Problem; Self-adaptive Perturbation Mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246570
  • Filename
    5246570