A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem

Author:

Jat Sadaf Naseem,Yang Shengxiang

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Abdullah, S., Burke, E.K., McCollum, B.: An investigation of variable neighbourhood search for university course timetabling. In: Proc. of the 2nd Multidisciplinary Int. Conf. on Scheduling: Theory and Appl., pp. 413–427 (2005)

2. Abdullah, K., Coit, D.W., Smith, A.E.: Multi-objective optimisation using genetic algorithms: A tutorial. Reliability Engg and System Safty 91(9), 992–1007 (2006)

3. Burke, E.K., Silva, J.D.L., Soubeiga, E.: Multi-objective hyper-heuristic approaches for space allocation and timetabling. In: Ibaraki, T., Nonobe, K., Yagiuru, M. (eds.) Meta-heuristics: Progress as Real Problem Solvers, ch. 6, pp. 129–158. Springer, Heidelberg (2003)

4. Burke, E.K., MacCloumn, B., Meisels, A., Petrovic, S., Qu, R.: A graph-based hyper-heuristic for educational timetabling problems. Europ. J. of Oper. Res. 176(1), 177–192 (2007)

5. Lecture Notes in Computer Science;M.P. Carrasco,2001

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