We investigate the examination timetabling problem in the context of Italian universities. The outcome is the definition of a general problem that can be applied to a large set of universities, but is quite different in many aspects from the classical versions proposed in the literature. We propose both a metaheuristic approach based on Simulated Annealing and a Constraint Programming model in MiniZinc. We compare the results of the metaheuristic approach (properly tuned) with the available MiniZinc back-ends on a large set of diverse real-world instances.
CITATION STYLE
Battistutta, M., Ceschia, S., De Cesco, F., Di Gaspero, L., Schaerf, A., & Topan, E. (2020). Local Search and Constraint Programming for a Real-World Examination Timetabling Problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12296 LNCS, pp. 69–81). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58942-4_5
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