• DocumentCode
    2042474
  • Title

    Comparing genetic operators for the timetabling problem

  • Author

    Hideg, Attila

  • Author_Institution
    Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2015
  • fDate
    22-24 Jan. 2015
  • Firstpage
    53
  • Lastpage
    57
  • Abstract
    This paper describes a genetic algorithm used to solve the timetabling problem. Our approach will deal with the weekly curriculum based timetabling problem using real datasets from the University of Udine. Before proposing an algorithm we examine and compare the performance of the different genetic operators.
  • Keywords
    educational institutions; genetic algorithms; scheduling; University of Udine; genetic algorithm; genetic operators; weekly curriculum based timetabling problem; Biological cells; Genetic algorithms; Genetics; Optimization; Sociology; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
  • Conference_Location
    Herl´any
  • Type

    conf

  • DOI
    10.1109/SAMI.2015.7061845
  • Filename
    7061845
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2042474