• DocumentCode
    3047152
  • Title

    Research on resource allocation method in universities based on user participation

  • Author

    Liu, Cong

  • Author_Institution
    Comput. & Inf. Manage. Center, Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    9-11 Dec. 2011
  • Firstpage
    278
  • Lastpage
    282
  • Abstract
    Resource allocation problem in universities belongs to office automation research issues, which is one of the important businesses for management departments in universities. Aiming at “Just, Fair and Open” principle and purpose of user-oriented resource management, rational allocation by means of informatization and efficient use of resources is certainly an effective way. In this paper, we study the problem of resource allocation method in universities with user participation. A layered reference model of reservation system for university resources is presented. Taking multiple constraints into account, including user satisfaction, resource utilization, user coverage etc., the resource allocation is made much fit to the actual situation, however, the problem complexity increases correspondingly, leading to the adoption of an intelligent algorithm solution. Hence, an improved ant-colony-optimization-based resource allocation algorithm with user participation is proposed. By feasibility analysis of algorithm, it is shown that the proposed algorithm to solve the multi-objective optimization problem with multi-constraint is feasible and valid. As the layered idea of the model is applicable to other system, so it has broad application value.
  • Keywords
    ant colony optimisation; educational institutions; office automation; resource allocation; ant colony optimization-based resource allocation algorithm; intelligent algorithm; just, fair and open principle; layered reference model; management department; multiobjective optimization problem; office automation research; reservation system; user participation based university; user-oriented resource management; Algorithm design and analysis; Ant colony optimization; Authentication; Educational institutions; Information systems; Optimization; Resource management; ant colony optimization; multi-constraint; multi-objective; optimization problem; resource allocation; university office automation; user participation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine and Education (ITME), 2011 International Symposium on
  • Conference_Location
    Cuangzhou
  • Print_ISBN
    978-1-61284-701-6
  • Type

    conf

  • DOI
    10.1109/ITiME.2011.6132039
  • Filename
    6132039