The student scheduling problem at Université de Technologie de Compiègne

Author:

Boufflet Jean-Paul,Arbaoui Taha,Moukrim Aziz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Abdullah, S. (2006). Heuristic approaches for university timetabling problems. PhD thesis, Doctoral dissertation, University of Nottingham.

2. A bi-criteria hybrid genetic algorithm with robustness objective for the course timetabling problem;Akkan;Computers & Operations Research,2018

3. Arbaoui, T., Boufflet, J.-P., & Moukrim, A. (2013). An analysis framework for examination timetabling. In Proceedings of the Sixth International Symposium on Combinatorial Search (SoCS 2013), pages 11–19. Leavenworth, WA, USA.

4. Preprocessing and an improved mip model for examination timetabling;Arbaoui;Annals of Operations Research,2015

5. Lower bounds and compact mathematical formulations for spacing soft constraints for university examination timetabling problems;Arbaoui;Computers & Operations Research,2019

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1. Convergence analysis for optimizing course schedule problems (CSP) at high school using the hybrid artificial bee colony algorithm;AIP Conference Proceedings;2024

2. A New Method of Arranging Courses in Educational Administration System;2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM);2022-01

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