Selected Papers

• Özcan E, Burke EK, Di Gaspero L, McCollum B, Schaerf A.  2019.  The practice and theory of automated timetabling (2016). Annals of Operations Research. 275:1–2.

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• Banbara M, Inoue K, Kaufmann B, Okimoto T, Schaub T, Soh T, Tamura N, Wanko P.  2019.  teaspoon: solving the curriculum-based course timetabling problems with answer set programming. Annals of Operations Research. 275:3–37.

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• Chiarandini M, Fagerberg R, Gualandi S.  2019.  Handling preferences in student-project allocation. Annals of Operations Research. 275:39–78.

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• Demirović E, Musliu N, Winter F.  2019.  Modeling and solving staff scheduling with partial weighted maxSAT. Annals of operations research. 275:79–99.

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• Ermis G, Akkan C.  2019.  Search algorithms for improving the pareto front in a timetabling problem with a solution network-based robustness measure. Annals of Operations Research. 275:101–121.

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• Mischek F, Musliu N.  2019.  Integer programming model extensions for a multi-stage nurse rostering problem. Annals of operations research. 275:123–143.

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• Vrielink RAOude, Jansen EA, Hans EW, van Hillegersberg J.  2019.  Practices in timetabling in higher education institutions: a systematic review. Annals of operations research. 275:145–160.

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• Petrovic S.  2019.  “You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice. Annals of Operations Research. 275:161–179.

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• Pillay N, Özcan E.  2019.  Automated generation of constructive ordering heuristics for educational timetabling. Annals of Operations Research. 275:181–208.

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• Schindl D.  2019.  Optimal student sectioning on mandatory courses with various sections numbers. Annals of operations research. 275:209–221.

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• Toffolo TAM, Christiaens J, Spieksma FCR, Berghe GVanden.  2019.  The sport teams grouping problem. Annals of Operations Research. 275:223–243.

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• Zeng L, Zhao M, Liu Y.  2019.  Airport ground workforce planning with hierarchical skills: a new formulation and branch-and-price approach. Annals of Operations Research. 275:245–258.

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