• DocumentCode
    527767
  • Title

    An anytime algorithm for optimal coalition structure generation

  • Author

    Zhang, Zhenrong ; Zhang, Wei ; Liu, Jinglei

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Yantai Univ., Yantai, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2889
  • Lastpage
    2893
  • Abstract
    In multi agent system, how to find a coalition structure making the greatest profits in cooperation in the shortest time is an issue which has been given much attention. When finding the optimal coalition structure, if we make no any restriction on the searching space, we must search all the coalition structures. An anytime algorithm-LVAA(Lateral and Vertical Anytime Algorithm), designed in this paper, used a branch and bound technique and pruning function to simplify the searching space besides L1, L2 and Ln layers vertically and horizontally. Then, it find the optimal coalition structure value. The result of the experiment proved that it greatly reduced the searching space. When coalition values meet uniform distribution and normal distribution respectively, the searching times of LVAA can be reduced by 78% and 82% than Sandholm´s for agent number 18 and 23.
  • Keywords
    multi-agent systems; tree searching; branch and bound technique; lateral and vertical anytime algorithm; multi agent system; optimal coalition structure generation; pruning function; searching space; Algorithm design and analysis; Arrays; Conferences; Gaussian distribution; Heuristic algorithms; Partitioning algorithms; Upper bound; LVAA (Lateral and Vertical Anytime Algorithm); anytime algorithm; branch and bound technique; prune function; the optimal coalition structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584176
  • Filename
    5584176