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Modeling and Solving a Latin American University Course Timetabling Problem Instance

Author

Listed:
  • Oscar Chávez-Bosquez

    (División Académica de Ciencias y Tecnologías de la Información, Universidad Juárez Autónoma de Tabasco, Cunduacán, Tabasco 86690, Mexico)

  • José Hernández-Torruco

    (División Académica de Ciencias y Tecnologías de la Información, Universidad Juárez Autónoma de Tabasco, Cunduacán, Tabasco 86690, Mexico)

  • Betania Hernández-Ocaña

    (División Académica de Ciencias y Tecnologías de la Información, Universidad Juárez Autónoma de Tabasco, Cunduacán, Tabasco 86690, Mexico)

  • Juana Canul-Reich

    (División Académica de Ciencias y Tecnologías de la Información, Universidad Juárez Autónoma de Tabasco, Cunduacán, Tabasco 86690, Mexico)

Abstract

Timetabling problem is a complex task that is performed by a number of institutions worldwide, which has been usually addressed as an optimization problem where every approach considers the particular constraints of each institution under consideration. In this paper, we describe, model, and propose a solution to the timetabling problem at the División Académica de Ciencias y Tecnologías de la Información of the Universidad Juárez Autónoma de Tabasco (UJAT), México. We modeled the specific constraints of this problem instance using the Object Constraint Language (OCL) of the Unified Modeling Language (UML), and we validated the model while using the state-of-the-art tool USE: UML-based Specification Environment. The solution strategy tackles the problem in two stages: (1) ACA: academic assignments, i.e., assign lectures to professors and (2) TTP: the timetabling process. We developed a Tabu Search customization named Tabu Search with Probabilistic Aspiration Criterion (TS-PAC) in order to solve the timetabling problem, and we developed a software prototype to test our proposal. Two feasible timetables for two different semesters were obtained according to the modeled constraints.

Suggested Citation

  • Oscar Chávez-Bosquez & José Hernández-Torruco & Betania Hernández-Ocaña & Juana Canul-Reich, 2020. "Modeling and Solving a Latin American University Course Timetabling Problem Instance," Mathematics, MDPI, vol. 8(10), pages 1-29, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1833-:d:431066
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    References listed on IDEAS

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    1. de Werra, D., 1985. "An introduction to timetabling," European Journal of Operational Research, Elsevier, vol. 19(2), pages 151-162, February.
    2. Hertz, A., 1991. "Tabu search for large scale timetabling problems," European Journal of Operational Research, Elsevier, vol. 54(1), pages 39-47, September.
    3. Kergosien, Y. & Lenté, Ch. & Piton, D. & Billaut, J.-C., 2011. "A tabu search heuristic for the dynamic transportation of patients between care units," European Journal of Operational Research, Elsevier, vol. 214(2), pages 442-452, October.
    4. Fred Glover, 1990. "Tabu Search: A Tutorial," Interfaces, INFORMS, vol. 20(4), pages 74-94, August.
    5. Saviniec, Landir & Santos, Maristela O. & Costa, Alysson M., 2018. "Parallel local search algorithms for high school timetabling problems," European Journal of Operational Research, Elsevier, vol. 265(1), pages 81-98.
    6. Valdecy Pereira & Helder Gomes Costa, 2016. "Linear Integer Model for the Course Timetabling Problem of a Faculty in Rio de Janeiro," Advances in Operations Research, Hindawi, vol. 2016, pages 1-9, January.
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    Cited by:

    1. Fabian Riquelme & Elizabeth Montero & Leslie Pérez-Cáceres & Nicolás Rojas-Morales, 2022. "A Track-Based Conference Scheduling Problem," Mathematics, MDPI, vol. 10(21), pages 1-25, October.

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