Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results
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Abstract (arXiv)
We propose a survey of the research contributions on the field of Educational Timetabling with a specific focus on "standard" formulations and the corresponding benchmark instances. We identify six of such formulations and we discuss their features, pointing out their relevance and usability. Other available formulations and datasets are also reviewed and briefly discussed. Subsequently, we report the main state-of-the-art results on the selected benchmarks, in terms of solution quality (upper and lower bounds), search techniques, running times, statistical distributions, and other side settings.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 2 of its 114 references that are in the map. First posted on arXiv 19 Jan 2022.
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2 of 114 references.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
4 papers.
- 2025Large Language Models for Combinatorial Optimization: A Systematic Reviewcited by 20
- 2023Which algorithm to select in sports timetabling?cited by 1
- 2022Planning Courses for Student Success at the American College of Greececited by 0
- 2026Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Frameworkcited by 0
- 2026Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Framework15 Jun 2026
- 2025Large Language Models for Combinatorial Optimization: A Systematic Review4 Jul 2025
- 2023Which algorithm to select in sports timetabling?4 Sep 2023
- 2022Planning Courses for Student Success at the American College of Greece16 Jun 2022