Solving high school timetabling problems worldwide using selection hyper-heuristics

Author:

Ahmed Leena N.,Özcan Ender,Kheiri Ahmed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. A tensor-based selection hyper-heuristic for cross-domain heuristic search;Asta;Information Sciences,2015

2. Bai, R., Burke, E. K., Kendall, G., & McCollum, B. (2007). A simulated annealing hyper-heuristic methodology for flexible decision support. Technical Report Technical Report NOTTCS-TR-2007-8. School of CSiT, University of Nottingham.

3. An investigation of automated planograms using a simulated annealing based hyper-heuristics;Bai,2005

4. Bello, G. S., Rangel, M. C., & Boeres, M. C. S. (2008). An approach for the class/teacher timetabling problem. In Proceedings of the seventh international conference on the practice and theory of automated timetabling (PATAT ’08) (pp. 1–6).

5. An experimental study on hyper-heuristics and exam scheduling;Bilgin,2007

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