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An XML format for benchmarks in High School Timetabling

Author

Listed:
  • Gerhard Post
  • Samad Ahmadi
  • Sophia Daskalaki
  • Jeffrey Kingston
  • Jari Kyngas
  • Cimmo Nurmi
  • David Ranson

Abstract

The High School Timetabling Problem is amongst the most widely used timetabling problems. This problem has varying structures in different high schools even within the same country or educational system. Due to lack of standard benchmarks and data formats this problem has been studied less than other timetabling problems in the literature. In this paper we describe the High School Timetabling Problem in several countries in order to find a common set of constraints and objectives. Our main goal is to provide exchangeable benchmarks for this problem. To achieve this we propose a standard data format suitable for different countries and educational systems, defined by an XML schema. The schema and datasets are available online. Copyright The Author(s) 2012

Suggested Citation

  • Gerhard Post & Samad Ahmadi & Sophia Daskalaki & Jeffrey Kingston & Jari Kyngas & Cimmo Nurmi & David Ranson, 2012. "An XML format for benchmarks in High School Timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 385-397, April.
    • Handle: RePEc:spr:annopr:v:194:y:2012:i:1:p:385-397:10.1007/s10479-010-0699-9
    DOI: 10.1007/s10479-010-0699-9
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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. Burke, Edmund Kieran & Petrovic, Sanja, 2002. "Recent research directions in automated timetabling," European Journal of Operational Research, Elsevier, vol. 140(2), pages 266-280, July.
    3. de Gans, Onno B., 1981. "A computer timetabling system for secondary schools in the Netherlands," European Journal of Operational Research, Elsevier, vol. 7(2), pages 175-182, June.
    4. D. Abramson, 1991. "Constructing School Timetables Using Simulated Annealing: Sequential and Parallel Algorithms," Management Science, INFORMS, vol. 37(1), pages 98-113, January.
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    Cited by:

    1. Dorneles, Árton P. & de Araújo, Olinto C.B. & Buriol, Luciana S., 2017. "A column generation approach to high school timetabling modeled as a multicommodity flow problem," European Journal of Operational Research, Elsevier, vol. 256(3), pages 685-695.
    2. Ahmed Kheiri & Ender Özcan & Andrew J. Parkes, 2016. "A stochastic local search algorithm with adaptive acceptance for high-school timetabling," Annals of Operations Research, Springer, vol. 239(1), pages 135-151, April.
    3. 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.
    4. Jeffrey H. Kingston, 2016. "Repairing high school timetables with polymorphic ejection chains," Annals of Operations Research, Springer, vol. 239(1), pages 119-134, April.
    5. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    6. David Van Bulck & Dries Goossens & Jo¨rn Scho¨nberger & Mario Guajardo, 2020. "An Instance Data Repository for the Round-robin Sports Timetabling Problem," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 184-200, May.
    7. Ceschia, Sara & Di Gaspero, Luca & Schaerf, Andrea, 2023. "Educational timetabling: Problems, benchmarks, and state-of-the-art results," European Journal of Operational Research, Elsevier, vol. 308(1), pages 1-18.
    8. Gerhard Post & Luca Gaspero & Jeffrey H. Kingston & Barry McCollum & Andrea Schaerf, 2016. "The Third International Timetabling Competition," Annals of Operations Research, Springer, vol. 239(1), pages 69-75, April.
    9. Tomáš Müller & Hana Rudová, 2016. "Real-life curriculum-based timetabling with elective courses and course sections," Annals of Operations Research, Springer, vol. 239(1), pages 153-170, April.
    10. Emir Demirović & Nysret Musliu, 2017. "Modeling high school timetabling with bitvectors," Annals of Operations Research, Springer, vol. 252(2), pages 215-238, May.
    11. Kaixiang Zhu & Lily D. Li & Michael Li, 2021. "School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method," Mathematics, MDPI, vol. 10(1), pages 1-19, December.
    12. Smet, Pieter & Brucker, Peter & De Causmaecker, Patrick & Vanden Berghe, Greet, 2016. "Polynomially solvable personnel rostering problems," European Journal of Operational Research, Elsevier, vol. 249(1), pages 67-75.

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