Abstract
This paper describes an evolutionary algorithm for school time-tabling, demonstrated through applications to the Italian school system. Heuristics have been found and perfected which offer good generalization capabilities. A particular attention has been devoted to problem formulation, also in terms of fuzzy logic, as well as to testing different genetic operators and parameter settings. This work has obtained results of remarkable practical relevance on real-world problem instances illustrated in the paper, and eventually gave rise to a successful commercial product.
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References
S. Even, A. Itai, A. Shamir. On the Complexity of Timetable and Multicommodity Flow Problems. Siam Journal of Computing, Vol. 5,No.4, December 1976, 691–703.
W. Erben. A Grouping Genetic Algorithm for Graph Colouring and Exam Timetabling. Proceedings of the Third International Conference on the Practice and Theory of Automated Timetabling, Constance, Germany, August 16-18, 2000.
P. Adamidis and P. Arakapis. Weekly lecture timetabling with genetic algorithms. Proceedings of the 2nd International Conference on the Practice and Theory of Automated Timetabling, University of Toronto, Canada, 1997.
J.P. Caldeira and A.C Rosa. School timetabling using genetic search. Proceedings of the 2nd International Conference on the Practice and Theory of Automated Timetabling, University of Toronto, Canada, 1997.
L.A. Zadeh. Fuzzy Sets and Applications: Selected Papers. John Wiley & Sons, New York, 1987.
A.M. Barham and J.B. Westwood. A Simple Heuristic to Facilitate Course Timetabling. J. Opnl. Res. Soc. 29, 1055–1060.
D. Corne, P. Ross, H. Fang. Evolutionary Timetabling: Practice, Prospects and Work in Progress. Presented at the UK Planning and Scheduling SIG Workshop, (Strathclyde, UK, September 1994), organised by P Prosser.
B. Paechter, R.C. Rankin, A. Cumming. Improving a Lecture Timetabling System for University Wide Use. Practice and Theory of Automated Timetabling II, Springer-Verlag, LNCS 1408, Berlin, 1998.
A. Brindle. Genetic algorithms for function optimization. Technical Report TR81-2, Department of Computer Science, University of Alberta, Edmonton, 1981.
Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, Berlin, 1992.
D.E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, 1989.
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Di Stefano, C., Tettamanzi, A.G.B. (2001). An Evolutionary Algorithm for Solving the School Time-Tabling Problem. In: Boers, E.J.W. (eds) Applications of Evolutionary Computing. EvoWorkshops 2001. Lecture Notes in Computer Science, vol 2037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45365-2_47
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DOI: https://doi.org/10.1007/3-540-45365-2_47
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