• DocumentCode
    2959703
  • Title

    Usability of the genetic algorithms for solving lectures schedule task

  • Author

    Ediberidze, Alexandre ; Kantaria, Michael

  • Author_Institution
    Tech. Univ. of Georgia, Tbilisi, Georgia
  • fYear
    2009
  • fDate
    14-16 Oct. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The paper discusses the aspects of genetic algorithms application in the university scholar process management, particularly the solving problems of lectures optimal timetable planning.
  • Keywords
    education; genetic algorithms; genetic algorithms; lectures optimal timetable planning; university scholar process management; Biological cells; Concrete; Educational institutions; Genetic algorithms; Laboratories; Process planning; Processor scheduling; Scheduling algorithm; Usability; education; genetic algorithm; schedule;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies, 2009. AICT 2009. International Conference on
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-4244-4739-8
  • Electronic_ISBN
    978-1-4244-4740-4
  • Type

    conf

  • DOI
    10.1109/ICAICT.2009.5372540
  • Filename
    5372540
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2959703