• DocumentCode
    1793092
  • Title

    Elaboration of hybrid discrete optimization algorithm for solving the problem of modernization of base stations

  • Author

    Kolokolov, A.A. ; Levanova, T.V. ; Pozdnyakov, Yu.C.

  • Author_Institution
    Omsk Div., S.L. Sobolev Inst. of Math., Omsk, Russia
  • fYear
    2014
  • fDate
    11-13 Nov. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The problem of modernization of cellular base stations employing some new equipment with various performance specifications and cost is considered. It is required to select the reconstructed stations where the total number of clients will be maximized. For solving this problem a hybrid scheme on the basis of ant colony algorithm and immune algorithm is proposed and its experimental test is conducted.
  • Keywords
    ant colony optimisation; cellular radio; ant colony algorithm; cellular base station modernization; hybrid discrete optimization algorithm; immune algorithm; performance cost; performance specifications; Algorithm design and analysis; Approximation algorithms; Base stations; Immune system; Linear programming; Optimization; Zirconium; ant colony algorithm; discrete optimization; immune algorithm; integer programming; location problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dynamics of Systems, Mechanisms and Machines (Dynamics), 2014
  • Conference_Location
    Omsk
  • Print_ISBN
    978-1-4799-6406-2
  • Type

    conf

  • DOI
    10.1109/Dynamics.2014.7005668
  • Filename
    7005668