Finding a feasible course schedule using Tabu search
Discrete Applied Mathematics - Special issue: Timetabling and chromatic scheduling
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
A Survey of Automated Timetabling
Artificial Intelligence Review
A MAX-MIN Ant System for the University Course Timetabling Problem
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
EasyLocal++: an object-oriented framework for the flexible design of local-search algorithms
Software—Practice & Experience
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
An effective hybrid algorithm for university course timetabling
Journal of Scheduling
An Extended Implementation of the Great Deluge Algorithm for Course Timetabling
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Decomposition, reformulation, and diving in university course timetabling
Computers and Operations Research
ParamILS: an automatic algorithm configuration framework
Journal of Artificial Intelligence Research
INFORMS Journal on Computing
Modeling and solution of a complex university course timetabling problem
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
A clique-based algorithm for constructing feasible timetables
Optimization Methods & Software
Application of the grouping genetic algorithm to university course timetabling
EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
Generalising algorithm performance in instance space: a timetabling case study
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
The university course timetabling problem with a three-phase approach
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
Finding Feasible Timetables Using Group-Based Operators
IEEE Transactions on Evolutionary Computation
On the performance of Scatter Search for post-enrolment course timetabling problems
Journal of Combinatorial Optimization
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The post-enrolment course timetabling (PE-CTT) is one of the most studied timetabling problems, for which many instances and results are available. In this work we design a metaheuristic approach based on simulated annealing to solve the PE-CTT. We consider all the different variants of the problem that have been proposed in the literature and we perform a comprehensive experimental analysis on all the available public instances. The outcome is that our solver, properly engineered and tuned, performs very well on all cases, providing the new best known results on many instances and state-of-the-art values for the others.