• DocumentCode
    1873601
  • Title

    Hybrid approaches to mutation in genetic search algorithms

  • Author

    Draskovic, Drazen ; Milutinovic, Veljko

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2012
  • fDate
    6-8 Sept. 2012
  • Firstpage
    336
  • Lastpage
    340
  • Abstract
    Genetic algorithms for Internet search have been classified in a recent paper of the same authors, as indicated in the reference section of this paper. The proposed new classification was based on a survey of the open literature and recognizes four basic approaches. This paper analyses these four approaches, and discusses their potentials, especially in the domain of hybridization, i.e., in the domain of generation of new hybrid approaches that take the best of one or more of the existing approaches. Two different hybrid approaches are described and their performance potentials are discussed in a way that opens up new avenues for future research.
  • Keywords
    Internet; genetic algorithms; genetic search algorithms; hybrid approaches; hybridization; internet search; Classification algorithms; Educational institutions; Electronic publishing; Encyclopedias; Genetic algorithms; Internet; genetic algorithms; hybrid algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (IS), 2012 6th IEEE International Conference
  • Conference_Location
    Sofia
  • Print_ISBN
    978-1-4673-2276-8
  • Type

    conf

  • DOI
    10.1109/IS.2012.6335157
  • Filename
    6335157