IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v76y1994i1p98-110.html
   My bibliography  Save this item

A tabu search algorithm for computing an operational timetable

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Drexl, Andreas & Salewski, Frank, 1997. "Distribution requirements and compactness constraints in school timetabling," European Journal of Operational Research, Elsevier, vol. 102(1), pages 193-214, October.
  2. Dimopoulou, M. & Miliotis, P., 2001. "Implementation of a university course and examination timetabling system," European Journal of Operational Research, Elsevier, vol. 130(1), pages 202-213, April.
  3. Urban, Timothy L. & Russell, Robert A., 2003. "Scheduling sports competitions on multiple venues," European Journal of Operational Research, Elsevier, vol. 148(2), pages 302-311, July.
  4. Haase, Knut & Latteier, Jörg & Schirmer, Andreas, 1997. "Course planning at Lufthansa technical training: Constructing more profitable schedules," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 442, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  5. 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.
  6. Haroldo Santos & Eduardo Uchoa & Luiz Ochi & Nelson Maculan, 2012. "Strong bounds with cut and column generation for class-teacher timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 399-412, April.
  7. Schirmer, Andreas & Potzahr, Kathrin, 2001. "Lehrgangsplanung für die Ausbildung von Verkehrsflugzeugführern: Ergebnisse einer Studie bei Lufthansa Flight Training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 538, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  8. Haase, Knut & Latteier, Jorg & Schirmer, Andreas, 1998. "The course scheduling problem at Lufthansa Technical Training," European Journal of Operational Research, Elsevier, vol. 110(3), pages 441-456, November.
  9. Drexl, Andreas & Salewski, Frank, 1996. "Distribution Requirements and Compactness Constraints in School Timetabling. Part II: Methods," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 384, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  10. R. Alvarez-Valdes & G. Martin & J. Tamarit, 1995. "Hores: A timetabling system for Spanish secondary schools," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 137-144, June.
  11. E K Burke & B L MacCarthy & S Petrovic & R Qu, 2006. "Multiple-retrieval case-based reasoning for course timetabling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 148-162, February.
  12. Asratian, A. S. & de Werra, D., 2002. "A generalized class-teacher model for some timetabling problems," European Journal of Operational Research, Elsevier, vol. 143(3), pages 531-542, December.
  13. Schirmer, Andreas & Potzhar, Kathrin, 2001. "Professional course scheduling in airline transport pilot training: A case from Lufthansa flight training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 539, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  14. Michael Marte, 2007. "Towards constraint-based school timetabling," Annals of Operations Research, Springer, vol. 155(1), pages 207-225, November.
  15. Nonobe, Koji & Ibaraki, Toshihide, 1998. "A tabu search approach to the constraint satisfaction problem as a general problem solver," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 599-623, April.
  16. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
  17. 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.
  18. Haase, Knut & Latteier, Jörg & Schirmer, Andreas, 1997. "The course scheduling problem at Lufthansa Technical Training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 441, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  19. Kristiansen, Simon & Sørensen, Matias & Stidsen, Thomas R., 2011. "Elective course planning," European Journal of Operational Research, Elsevier, vol. 215(3), pages 713-720, December.
  20. Burke, Edmund K. & McCollum, Barry & Meisels, Amnon & Petrovic, Sanja & Qu, Rong, 2007. "A graph-based hyper-heuristic for educational timetabling problems," European Journal of Operational Research, Elsevier, vol. 176(1), pages 177-192, January.
  21. Knut Haase & Jörg Latteier & Andreas Schirmer, 1999. "Course Planning at Lufthansa Technical Training: Constructing More Profitable Schedules," Interfaces, INFORMS, vol. 29(5), pages 95-109, October.
  22. Salem Al-Yakoob & Hanif Sherali, 2015. "A column generation mathematical programming approach for a class-faculty assignment problem with preferences," Computational Management Science, Springer, vol. 12(2), pages 297-318, April.
  23. Timothy R. Hinkin & Gary M. Thompson, 2002. "SchedulExpert: Scheduling Courses in the Cornell University School of Hotel Administration," Interfaces, INFORMS, vol. 32(6), pages 45-57, December.
  24. Daskalaki, S. & Birbas, T. & Housos, E., 2004. "An integer programming formulation for a case study in university timetabling," European Journal of Operational Research, Elsevier, vol. 153(1), pages 117-135, February.
  25. Al-Yakoob, Salem M. & Sherali, Hanif D., 2006. "Mathematical programming models and algorithms for a class-faculty assignment problem," European Journal of Operational Research, Elsevier, vol. 173(2), pages 488-507, September.
  26. Pongcharoen, P. & Promtet, W. & Yenradee, P. & Hicks, C., 2008. "Stochastic Optimisation Timetabling Tool for university course scheduling," International Journal of Production Economics, Elsevier, vol. 112(2), pages 903-918, April.
  27. Massimiliano Caramia & Stefano Giordani, 2020. "Curriculum-Based Course Timetabling with Student Flow, Soft Constraints, and Smoothing Objectives: an Application to a Real Case Study," SN Operations Research Forum, Springer, vol. 1(2), pages 1-21, June.
  28. K Papoutsis & C Valouxis & E Housos, 2003. "A column generation approach for the timetabling problem of Greek high schools," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 230-238, March.
  29. de Werra, D., 1997. "The combinatorics of timetabling," European Journal of Operational Research, Elsevier, vol. 96(3), pages 504-513, February.
  30. Cangalovic, Mirjana & Kovacevic-Vujcic, Vera & Ivanovic, Lav & Drazic, Milan, 1998. "Modeling and solving a real-life assignment problem at universities," European Journal of Operational Research, Elsevier, vol. 110(2), pages 223-233, October.
  31. Ozdemir, Mujgan S. & Gasimov, Rafail N., 2004. "The analytic hierarchy process and multiobjective 0-1 faculty course assignment," European Journal of Operational Research, Elsevier, vol. 157(2), pages 398-408, September.
  32. Hertz, Alain & Robert, Vincent, 1998. "Constructing a course schedule by solving a series of assignment type problems," European Journal of Operational Research, Elsevier, vol. 108(3), pages 585-603, August.
  33. White, George M. & Xie, Bill S. & Zonjic, Stevan, 2004. "Using tabu search with longer-term memory and relaxation to create examination timetables," European Journal of Operational Research, Elsevier, vol. 153(1), pages 80-91, February.
  34. Daskalaki, S. & Birbas, T., 2005. "Efficient solutions for a university timetabling problem through integer programming," European Journal of Operational Research, Elsevier, vol. 160(1), pages 106-120, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.