The teaching space allocation problem with splitting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3867 LNCS, Issue , 2006, Pages 228-247

  Beyrouthy, Camille ^a   Burke, Edmund K ^a   Landa Silva, Dario ^a   Mccollum, Barry ^b,c   Mcmullan, Paul ^b   Parkes, Andrew J ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^c Belfast   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ASSIGNMENT PROBLEMS; PEDAGOGIC REQUIREMENTS; TEACHING SPACE ALLOCATION;

CONSTRAINED OPTIMIZATION; CURRICULA; PROBLEM SOLVING; SCHEDULING; TEACHING;

RESOURCE ALLOCATION;

EID: 38549090555     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (18)

1. Aarts, E., Korst, J.: Simulated Annealing and Boltzman Machines. Wiley, New York (1990)
2. Alvarez-Valdes, R., Crespo, E., Tamarit, J.: Assigning students to course sections using tabu search. Annals of Operations Research 96, 1-16 (2000)
3. AminToosi, M., Yazdi, H.S., Haddadnia, J.: Feature selection in a fuzzy student sectioning algorithm. In: Burke, E.K., Trick, M.A. (eds.) PATAT 2004. LNCS, vol. 3616, pp. 147-160. Springer, Heidelberg (2005)
4. Bardadym, V.: Computer-aided school and university timetabling: The new wave. In: Burke, E.K., Ross, P. (eds.) Practice and Theory of Automated Timetabling. LNCS, vol. 1153, pp. 22-45. Springer, Heidelberg (1996)
5. Beyrouthy, C., Burke, E.K., McCollum, B., McMullan, P., Landa-Silva, D., Parkes, A.: Towards improving the utilisation of university teaching space. Technical Report NOTTCS-TR-2006-5, School of Computer Science & IT, University of Nottingham (2006)
6. Beyrouthy, C., Burke, E.K., McCollum, B., McMullan, P., Landa-Silva, D., Parkes, A.: Understanding the role of UFOs within space exploitation. In: Proceedings of the 6th International Conference on the Practice and Theory of Automated Timetabling, Brno, pp. 359-362 (August 2006)
7. Burke, E.K., Jackson, K., Kingston, J., Weare, R.: Automated timetabling: The state of the art. The Computer Journal 40, 565-571 (1997)
8. Burke, E.K., Petrovic, S.: Recent research directions in automated timetabling. European Journal of Operational Research 140, 266-280 (2002)
9. Carter, M.: Timetabling. In: Gass, S., Harris, C. (eds.) Encyclopedia of Operations Research and Management Science, pp. 833-836. Kluwer, Dordrecht (2001)
10. Carter, M., Laporte, G.: Recent developments in practical course timetabling. In: Burke, E.K., Carter, M. (eds.) PATAT 1997. LNCS, vol. 1408, pp. 3-19. Springer, Heidelberg (1998)
11. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220, 671-680 (1983)
12. Laporte, G., Desroches, S.: The problem of assigning students to course sections in a large engineering school. Computers and Operations Research 13, 387-394 (1986)
13. McCollum, B., McMullan, P.: The cornerstone of effective management and planning of space. Technical Report, Realtime Solutions Ltd (2004)
14. McCollum, B., Roche, T.: Scenarios for allocation of space. Technical Report, Realtime Solutions Ltd (2004)
15. Petrovic, S., Burke, E.K.: University timetabling. In: Leung, J. (ed.) Handbook of Scheduling: Algorithms, Models, and Performance Analysis, pp. 1-23. Chapman and Hall/CRC Press, London (2004)
16. Schaerf, A.: A survey of automated timetabling. Artificial Intelligence Review 13, 18-27 (1999)
17. Selim, S.: Split vertices in vertex colouring and their application in developing a solution to the faculty timetable problem. The Computer Journal 31, 76-82 (1988)
18. de Werra, D.: An introduction to timetabling. European Journal of Operational Research 19, 151-162 (1985)