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Assigning students to course sections using tabu search

Author

Listed:
  • Ramon Alvarez-Valdes
  • Enric Crespo
  • Jose Tamarit

Abstract

In this paper we describe a new student registration system which has been developed at the University of Valencia, Spain. The system has two steps. First, the students make a computer-aided course selection from the courses available at the University. Thereafter, an assignment procedure allocates students to sections in order to respect two criteria: to provide the students with satisfactory schedules and to get balanced section enrollments. The assignment process has two phases. In Phase I, we obtain a set of the best solutions for each student. The algorithm is based on the construction of maximum cardinality independent sets. In Phase II, these solution sets are put together and a tabu search algorithm looks for a satisfactory balance between course sections without causing the solution obtained for each student to worsen significantly. The system was used at the beginning of the academic year 1996/97 in the Faculty of Mathematics and could be extended in the near future to the rest of the University. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Ramon Alvarez-Valdes & Enric Crespo & Jose Tamarit, 2000. "Assigning students to course sections using tabu search," Annals of Operations Research, Springer, vol. 96(1), pages 1-16, November.
    • Handle: RePEc:spr:annopr:v:96:y:2000:i:1:p:1-16:10.1023/a:1018930930672
    DOI: 10.1023/A:1018930930672
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    Cited by:

    1. Alvarez-Valdes, Ramon & Crespo, Enric & Tamarit, Jose M., 2002. "Design and implementation of a course scheduling system using Tabu Search," European Journal of Operational Research, Elsevier, vol. 137(3), pages 512-523, March.
    2. David Schindl, 2019. "Optimal student sectioning on mandatory courses with various sections numbers," Annals of Operations Research, Springer, vol. 275(1), pages 209-221, April.
    3. De Causmaecker, Patrick & Demeester, Peter & Vanden Berghe, Greet, 2009. "A decomposed metaheuristic approach for a real-world university timetabling problem," European Journal of Operational Research, Elsevier, vol. 195(1), pages 307-318, May.
    4. Gartner, Daniel & Kolisch, Rainer, 2021. "Mathematical programming for nominating exchange students for international universities: The impact of stakeholders’ objectives and fairness constraints on allocations," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    5. Sana Bouajaja & Najoua Dridi, 2017. "A survey on human resource allocation problem and its applications," Operational Research, Springer, vol. 17(2), pages 339-369, July.

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