RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Solving University Course Timetabling Problems by a Novel Genetic Algorithm Based on Flow
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
A tabu-based memetic approach for examination timetabling problems
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Fish swarm intelligent algorithm for the course timetabling problem
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
A hybrid metaheuristic approach to the university course timetabling problem
Journal of Heuristics
Information Sciences: an International Journal
Dual sequence simulated annealing with round-robin approach for university course timetabling
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
Population based Local Search for university course timetabling problems
Applied Intelligence
On the performance of Scatter Search for post-enrolment course timetabling problems
Journal of Combinatorial Optimization
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In this paper we establish a new algorithm based on Genetic Algorithms (GA) and sequential local search to solve course timetabling problem. Universities are challenged to arise in number of complexity, their resources and events are becoming harder to schedule. Timetabling is a kind of problem in which events (classes, exams, courses, etc) have to be arranged into a number of timeslots such that conflicts in using a given set of resources are avoided. We perform preliminary experiments on standard benchmark course timetable problems and able to produce promising results.