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A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem

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  • Carrasco, M. P.
  • Pato, M. V.

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  • Carrasco, M. P. & Pato, M. V., 2004. "A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem," European Journal of Operational Research, Elsevier, vol. 153(1), pages 65-79, February.
    • Handle: RePEc:eee:ejores:v:153:y:2004:i:1:p:65-79
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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. Kate A. Smith, 1999. "Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research," INFORMS Journal on Computing, INFORMS, vol. 11(1), pages 15-34, February.
    3. de Werra, D., 1997. "The combinatorics of timetabling," European Journal of Operational Research, Elsevier, vol. 96(3), pages 504-513, February.
    4. Arabinda Tripathy, 1984. "School Timetabling---A Case in Large Binary Integer Linear Programming," Management Science, INFORMS, vol. 30(12), pages 1473-1489, December.
    5. Costa, Daniel, 1994. "A tabu search algorithm for computing an operational timetable," European Journal of Operational Research, Elsevier, vol. 76(1), pages 98-110, July.
    6. Kovacic, Matevz, 1993. "Timetable construction with Markovian neural network," European Journal of Operational Research, Elsevier, vol. 69(1), pages 92-96, August.
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    Cited by:

    1. De Causmaecker, Patrick & Demeester, Peter & Vanden Berghe, Greet, 2009. "A decomposed metaheuristic approach for a real-world university timetabling problem," European Journal of Operational Research, Elsevier, vol. 195(1), pages 307-318, May.
    2. Nelishia Pillay, 2014. "A survey of school timetabling research," Annals of Operations Research, Springer, vol. 218(1), pages 261-293, July.
    3. Zhang, Defu & Liu, Yongkai & M'Hallah, Rym & Leung, Stephen C.H., 2010. "A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 550-558, June.
    4. Vermuyten, Hendrik & Lemmens, Stef & Marques, Inês & Beliën, Jeroen, 2016. "Developing compact course timetables with optimized student flows," European Journal of Operational Research, Elsevier, vol. 251(2), pages 651-661.
    5. Dönmez, Kadir & Demirel, Soner & Özdemir, Mustafa, 2020. "Handling the pseudo pilot assignment problem in air traffic control training by using NASA TLX," Journal of Air Transport Management, Elsevier, vol. 89(C).
    6. Song, Kwonsik & Kim, Sooyoung & Park, Moonseo & Lee, Hyun-Soo, 2017. "Energy efficiency-based course timetabling for university buildings," Energy, Elsevier, vol. 139(C), pages 394-405.

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