Journal of Engineering and Applied Sciences

Year: 2013
Volume: 8
Issue: 2
Page No. 58 - 63

Simulated Annealing with Dynamic Initial Temperatures for University Course Timetable Problem

Authors : Hassan Y. Tarawneh, Masri Ayob and Zulkifli Ahmad

References

Aycan, E. and T. Ayav, 2009. Solving the course scheduling problem using simulate annealing. Proceedings of the IEEE International Advance Computing Conference, March 6-7, 2009, Patiala, pp: 462-466.

Azimi, Z.N., 2005. Hybrid heuristics for examination timetabling problem. Appl. Math. Comput., 163: 705-733.
CrossRef  |  

Beligiannis, G.N., C.N. Moschopoulos, G.P. Kaperonis and S.D. Likothanassia, 2008. Applying evolutionary computation to the school timetabling problem: The Greek case. Comput. Oper. Res., 35: 1265-1280.
CrossRef  |  

Cerny, V., 1985. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. J. Optimiz. Theo. Appli., 45: 41-51.
CrossRef  |  Direct Link  |  

Cordon, O.F. Moya and C. Zarco, 2002. A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems. Soft Comput., 6: 308-319.
CrossRef  |  

Eglese, R.W., 1990. Simulated annealing: A tool for operational research. Eur. J. Oper. Res., 46: 271-281.

Eley, E., 2007. Ant algorithms for the exam timetabling problem. Proceedings of the 6th International Conference on Practice and Theory of Automated Timetabling, August 30-September 1, 2006, Brno, Czech Republic, pp: 364-382.

Gaspero, L.D., B. McCollum and A. Schaerf, 2007. The second international timetabling competition (ITC-2007): Curriculum-based course timetabling (Track 3). Technical Report. http://www.cs.qub.ac.uk/itc2007/curriculmcourse/report/curriculumtechreport.pdf.

Goffe, W.L., G.D. Ferrier and J. Rogers, 1994. Global optimization of statistical functions with simulated annealing. J. Econ., 60: 65-99.
CrossRef  |  

Ingber, L., 1996. Adaptive Simulated Annealing (ASA): Lessons learned. J. Control Cybernet., 25: 33-54.
Direct Link  |  

Kolonko, M., 1999. Some new results on simulated annealing applied to the job shop scheduling problem. Eur. J. Operat. Res., 113: 123-136.
CrossRef  |  

Lu, Z. and J.K. Hao, 2010. Adaptive tabu search for course timetabling. Eur. J. Oper. Res., 200: 235-244.
CrossRef  |  

Pongcharoen, P., W. Promtet, P. Yenradee and C. Hicks, 2008. Stochastic optimisation timetabling tool for university course scheduling. J. Int. J Prod. Econ., 112: 903-918.
Direct Link  |  

Poupaert, E. and Y. Deville, 2000. Simulated annealing with estimated temperature. AI Commun., 13: 19-26.
Direct Link  |  

Salcedo-Sanz, S., R. Santiago-Mozos and C. Bousono-Calzon, 2004. A hybrid hopfield network-simulated annealing approach for frequency assignment in satellite communications systems. IEEE Trans. Syst. Man Cybernet. Part B: Cybernet., 34: 1108-1116.
CrossRef  |  

Wren, A., 1996. Scheduling, Timetabling and rostering: A special relationship, the practice and theory of automated timetabling. Pract. Theor. Autom. Timetabling, 1153: 46-75.
CrossRef  |  

Xinchao, Z., 2011. Simulated annealing algorithm with adaptive neighborhood. Applied Soft Comput., 11: 1827-1836.
CrossRef  |  

Zhang, D., Y. Liu, R.M. Hallah and S.C.H. Leung, 2010. A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems. Eur. J. Operational Res., 203: 550-558.
CrossRef  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved