• DocumentCode
    3104589
  • Title

    Modified Max-Min Ant Colony System for Solving Pseudo-Boolean Optimization Problem

  • Author

    Zhen, Liu ; Zhou Yu Ren

  • Author_Institution
    Sch. of Comput. Sci. & Eng., South China Univ. of Technol., GuangZhou, China
  • fYear
    2009
  • fDate
    13-14 Dec. 2009
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    Based on the max-min ant system solving the Pseudo-Boolean Optimization problem, we improved the process of solving the problem. An memory array is introduced to record changes of each bit string, memory array to be used for optimization of the solution of the current iteration. Such improvements will help improve the convergence rate of Max-Min ant colony algorithm. The improved algorithm was applied to solve the problem of Pseudo-Boolean functions. Experiments show a reduction in the number of iteration before achieving the optimal which indicating the effectiveness and Superiority of the algorithm.
  • Keywords
    Boolean functions; minimax techniques; memory array; modified max-min ant colony system; pseudo-Boolean function; pseudo-Boolean optimization problem; Ant colony optimization; Chaotic communication; Conference management; Engineering management; Feedback; Information management; Information technology; Network servers; Queueing analysis; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-5339-9
  • Type

    conf

  • DOI
    10.1109/FITME.2009.38
  • Filename
    5380912