• DocumentCode
    2841433
  • Title

    Heuristic Factors in Ant System Algorithm for Course Timetabling Problem

  • Author

    Djamarus, Djasli ; Ku-Mahamud, Ku Ruhana

  • Author_Institution
    Inf. Dept., Trisakti Univ., Jakarta, Indonesia
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 2 2009
  • Firstpage
    232
  • Lastpage
    236
  • Abstract
    This paper presents an algorithm that is based on ant system to solve the course timetabling problem. The problem is modeled using the bipartite graph. Four heuristic factors are derived from the graph characteristic, are used to direct ants as the agent in finding course timetable elements. The concept of negative pheromone was also applied to ensure that paths leading to dead ends are not chosen. The performance of this proposed algorithm is promising when comparison of performance was made with the original ant system algorithm.
  • Keywords
    educational institutions; optimisation; search problems; ant system algorithm; bipartite graph; course timetabling problem; heuristic factors; negative pheromone concept; Ant colony optimization; Approximation algorithms; Art; Bipartite graph; Educational institutions; Informatics; Intelligent systems; Polynomials; Programming profession; Writing; Ant System Algorithm; Course Timetabling Problem; Heuristic; Pheromone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4735-0
  • Electronic_ISBN
    978-0-7695-3872-3
  • Type

    conf

  • DOI
    10.1109/ISDA.2009.62
  • Filename
    5364796