• DocumentCode
    3237811
  • Title

    Bio-inspired algorithms for query optimization in biological databases

  • Author

    Melita, L. ; Ganapathy, Gopinath ; Prakash, P.

  • Author_Institution
    Dept. of Comput. Sci., Jimma Univ., Jimma, Ethiopia
  • fYear
    2010
  • fDate
    2-4 Nov. 2010
  • Firstpage
    370
  • Lastpage
    373
  • Abstract
    Despite of the numerous research efforts on distributed query processing, the complexity of the problem has been little solved which paves way for the exploration on the solution of the problem. However, due to its inherent difficulty, the complexity of the majority of problems on distributed query optimization remains unknown. In this paper, we analyze and present the problems identified and the possible algorithms used for solving them. The higher probability of problem solving nature of the Bio-inspired Algorithms has been projected with a Comparative Study on literature proof and as a result a proposal for Query Optimization on Biological Databases is introduced.
  • Keywords
    biology computing; distributed databases; query processing; bio-inspired algorithms; biological databases; distributed query optimization; distributed query processing; Biology; Databases; Equations; Gallium; Optimization; Probabilistic logic; Usability; Bio-Computing; Memetic Algorithms; Query Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development (ICCTD), 2010 2nd International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8844-5
  • Electronic_ISBN
    978-1-4244-8845-2
  • Type

    conf

  • DOI
    10.1109/ICCTD.2010.5645824
  • Filename
    5645824