• DocumentCode
    408364
  • Title

    Evolutionary time scheduling

  • Author

    Nedjah, Nadia ; de Macedo Mourelle, Luiza

  • Author_Institution
    Dept. of de Syst. Eng. & Comput., State Univ. of Rio de Janeiro, Brazil
  • Volume
    2
  • fYear
    2004
  • fDate
    5-7 April 2004
  • Firstpage
    357
  • Abstract
    Genetic algorithms are generally used to solve NP-complete problems, which include scheduling problem in academic institutions. Scheduling consists of assigning offered courses to available time periods so that the students´ satisfaction factor is maximised while preserving the unbreakable academic rules such as two distinct courses cannot be scheduled during the same period of time because the same lecturer ministers the corresponding courses. In this paper, we present an application of genetic algorithms to a generic scheduling problem. The necessary algorithmic solution is described together with some empirical observations about the performance of the scheduler implementation.
  • Keywords
    computational complexity; genetic algorithms; scheduling; NP-complete problem; academic institution; evolutionary time scheduling; genetic algorithm; scheduling problem; Computational modeling; Encoding; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; NP-complete problem; Processor scheduling; Scheduling algorithm; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
  • Print_ISBN
    0-7695-2108-8
  • Type

    conf

  • DOI
    10.1109/ITCC.2004.1286663
  • Filename
    1286663