University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study

Author:

Bratković Zlatko,Herman Tomislav,Omrčen Vjera,Čupić Marko,Jakobović Domagoj

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Lecture Notes in Computer Science;B. McCollum,2007

2. Qu, R., Burke, E., McCollum, B., Merlot, L., Lee, S.: A Survey of Search Methodologies and Automated Approaches for Examination Timetabling. Technical Report NOTTCS-TR-2006-4, School of CSiT, University of Nottingham (2006)

3. Burke, E., Petrovic, S.: Recent research directions in automated timetabling. European Journal of Operational Research 127(2), 266–280 (2002)

4. Schaerf, A.: A survey of automated timetabling. In: 115. Centrum voor Wiskunde en Informatica (CWI), p. 33 (1995) ISSN 0169-118X

5. Lewis, R.: A survey of metaheuristic-based techniques for university timetabling problems. OR Spectrum (2007)

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2. Examinations Timetabling System Based on A Genetic Algorithm;2022 International Conference on Engineering & MIS (ICEMIS);2022-07-04

3. A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study;2021 IEEE Congress on Evolutionary Computation (CEC);2021-06-28

4. University Course Timetabling Using ACO: A Case Study on Laboratory Exercises;Knowledge-Based and Intelligent Information and Engineering Systems;2010

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