# Late acceptance hill-climbing for high school timetabling

Article

First Online:

- 325 Downloads
- 1 Citations

## Abstract

The application of the Late Acceptance Hill-Climbing (LAHC) to solve the High School Timetabling Problem is the subject of this manuscript. The original algorithm and two variants proposed here are tested jointly with other state-of-art methods to solve the instances proposed in the Third International Timetabling Competition. Following the same rules of the competition, the LAHC-based algorithms noticeably outperformed the winning methods. These results, and reports from the literature, suggest that the LAHC is a reliable method that can compete with the most employed local search algorithms.

## Keywords

Late Acceptance Hill-Climbing Third International Timetabling Competition High School Timetabling Local search## References

- Abuhamdah, A. (2010). Experimental result of late acceptance randomized descent algorithm for solving course timetabling problems.
*IJCSNS-International Journal of Computer Science and Network Security*,*10*(1), 192–200.Google Scholar - Burke, E. K., & Bykov, Y. (2008). A late acceptance strategy in hill-climbing for exam timetabling problems. In
*PATAT’08 proceedings of the 7th international conference on the practice and theory of automated timetabling*.Google Scholar - Burke, E. K., & Bykov, Y. (2012). The late acceptance hill-climbing heuristic. Technical Report CSM-192, Department of Computing Science and Mathematics, University of Stirling.Google Scholar
- de Haan, P., Landman, R., Post, G., & Ruizenaar, H. (2007). A case study for timetabling in a dutch secondary school. In
*Lecture notes in computer science: VI. Practice and theory of automated timetabling*(Vol. 3867, pp. 267–279). Berlin: Springer.Google Scholar - Dorneles, Á. P., de Araújo, O. C., & Buriol, L. S. (2014). A fix-and-optimize heuristic for the high school timetabling problem.
*Computers & Operations Research*,*52*, 29–38.CrossRefGoogle Scholar - Fonseca, G., Santos, H., Toffolo, T., Brito, S., & Souza, M. (2012). A SA-ILS approach for the high school timetabling problem. In
*PATAT’12 proceedings of the 9th international conference on the practice and theory of automated timetabling*.Google Scholar - Fonseca, G. H. G., Santos, H. G., Toffolo, T. A. M., Brito, S. S., & Souza, M. J. F. (2014). GOAL solver: A hybrid local search based solver for high school timetabling.
*Annals of Operations Research*, 1–21. doi: 10.1007/s10479-014-1685-4. - Garey, M. R., & Jonhson, D. S. (1979).
*Computers and intractability: A guide to the theory of NP-completeness*. San Francisco, CA: Freeman.Google Scholar - IDSIA (2012). International Timetabling Competition 2002 (2012). Retrieved December, 2012 from http://www.idsia.ch/Files/ttcomp2002/.
- Kheiri, A., Ozcan, E., & Parkes, A. J. (2012). Hysst: Hyper-heuristic search strategies and timetabling. In
*Proceedings of the ninth international conference on the practice and theory of automated timetabling (PATAT 2012)*(pp. 497–499).Google Scholar - Kingston, J. (2014). KHE14 an algorithm for high school timetabling. In
*10th international conference on the practice and theory of automated timetabling*(pp. 26–29).Google Scholar - Kingston, J. H. (2005) A tiling algorithm for high school timetabling. In
*Lecture notes in computer science: V. Practice and theory of automated timetabling*(Vol. 3616, pp. 208–225). Berlin: Springer.Google Scholar - Kingston, J. H. (2012). A software library for school timetabling (2012). Retrieved May, 2012, from http://sydney.edu.au/engineering/it/~jeff/khe/.
- Kingston, J. H. (2012). A software library for school timetabling (2012). Retrieved December 2012, from http://sydney.edu.au/engineering/it/~jeff/khe/.
- Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing.
*Science*,*220*, 671–680.CrossRefGoogle Scholar - Kostuch, P. (2005). The university course timetabling problem with a three-phase approach. In
*Proceedings of the 5th international conference on practice and theory of automated timetabling, PATAT’04*(pp. 109–125). Berlin: Springer. doi: 10.1007/11593577_7. - Kristiansen, S., Srensen, M., Stidsen, T. (2014). Integer programming for the generalized high school timetabling problem.
*Journal of Scheduling*, 1–16. doi: 10.1007/s10951-014-0405-x. - McCollum, B. (2012). International timetabling competition 2007. Retrieved December, 2012 from http://www.cs.qub.ac.uk/itc2007/.
- Moura, A. V., & Scaraficci, R. A. (2010). A grasp strategy for a more constrained school timetabling problem.
*International Journal of Operational Research*,*7*(2), 152–170.CrossRefGoogle Scholar - Muller, T. (2009). ITC2007 solver description: a hybrid approach.
*Annals OR**172*(1), 429–446. http://dblp.uni-trier.de/db/journals/anor/anor172.html#Muller09. - Nurmi, K., & Kyngas, J. (2007). A framework for school timetabling problem. In
*Proceedings of the 3rd multidisciplinary international scheduling conference: theory and applications, Paris*(pp. 386–393).Google Scholar - Özcan, E., Bykov, Y., Birben, M., & Burke, E. K. (2009). Examination timetabling using late acceptance hyper-heuristics. In
*Proceedings of the eleventh conference on congress on evolutionary computation, CEC’09*(pp. 997–1004). IEEE Press, Piscataway, NJ http://dl.acm.org/citation.cfm?id=1689599.1689731. - Pillay, N. (2013) A survey of school timetabling research.
*Annals of Operations Research*, 1–33.Google Scholar - Post, G., Kingston, J., Ahmadi, S., Daskalaki, S., Gogos, C., Kyngas, J., et al. (2014). XHSTT: An XML archive for high school timetabling problems in different countries.
*Annals of Operations Research*,*218*(1), 295–301.CrossRefGoogle Scholar - Romrs, J., & Homberger, J. (2012). An evolutionary algorithm for high school timetabling. In
*PATAT’12 proceedings of the 9th international conference on the practice and theory of automated timetabling*.Google Scholar - Santos, H. G., Uchoa, E., Ochi, L. S., & Maculan, N. (2012). Strong bounds with cut and column generation for class-teacher timetabling.
*Annals OR*,*194*(1), 399–412.CrossRefGoogle Scholar - Srensen, M., Kristiansen, S., & Stidsen, T. (2012). International timetabling competition 2011: An adaptive large neighborhood search algorithm (pp. 489–492).Google Scholar
- Tuga, M., Berretta, R., & Mendes, A. (2007) A hybrid simulated annealing with kempe chain neighborhood for the university timetabling problem. In
*6th IEEE/ACIS international conference on computer and information science, 2007. ICIS 2007*, IEEE (pp. 400–405).Google Scholar - Valourix, C., & Housos, E. (2003). Constraint programming approach for school timetabling. In
*Computers & Operations Research*(pp. 1555–1572).Google Scholar - Verstichel, J., & Vanden Berghe, G. (2009). A late acceptance algorithm for the lock scheduling problem. In S. Voss, J. Pahl, & S. Schwarze (Eds.),
*Logistik management*(pp. 457–478). Dordrecht: Springer.CrossRefGoogle Scholar - Wright, M. (1996). School timetabling using heuristic search.
*Journal of Operational Research Society*,*47*, 347–357.CrossRefGoogle Scholar

## Copyright information

© Springer Science+Business Media New York 2015