Hybrid variable neighbourhood approaches to university exam timetabling

Author:

Burke E.K.,Eckersley A.J.,McCollum B.,Petrovic S.,Qu R.

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference59 articles.

1. Simulated annealing;Aarts,2005

2. Investigating Ahuja–Orlin’s large neighbourhood search approach for examination timetabling;Abdullah;OR Spectrum,2007

3. A Tabu based large neighbourhood search methodology for the capacitated examination timetabling problem;Abdullah;Journal of Operational Research Society,2007

4. A survey of very large-scale neighborhood search techniques;Ahuja;Discrete Applied Mathematics,2002

5. H. Asmuni, E.K. Burke, J. Garibaldi, B. McCollum, A novel fuzzy approach to evaluate the quality of examination timetabling, in: E.K. Burke, H. Rudova (Eds.), Proceedings of the Sixth International Conference on the Practice and Theory of Automated Timetabling, 2006, pp. 82–102, ISBN: 80-210-3726-1.

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3. Heuristics: An Overview;Handbook of Formal Optimization;2024

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5. Algorithm for compiling an examination timetabling at a higher education institutions;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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