A tabu search heuristic for the vehicle routing problem
Management Science
Tabu Search
Using Experimental Design to Find Effective Parameter Settings for Heuristics
Journal of Heuristics
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
A simulated annealing approach to the traveling tournament problem
Journal of Scheduling
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search
Operations Research
Automatic algorithm configuration based on local search
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
INFORMS Journal on Computing
SLS'07 Proceedings of the 2007 international conference on Engineering stochastic local search algorithms: designing, implementing and analyzing effective heuristics
Tuning the performance of the MMAS heuristic
SLS'07 Proceedings of the 2007 international conference on Engineering stochastic local search algorithms: designing, implementing and analyzing effective heuristics
Mixed models for the analysis of local search components
SLS'07 Proceedings of the 2007 international conference on Engineering stochastic local search algorithms: designing, implementing and analyzing effective heuristics
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
Optimal university course timetables and the partial transversal polytope
WEA'08 Proceedings of the 7th international conference on Experimental algorithms
Computers and Operations Research
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We propose a hybrid local search algorithm for the solution of the Curriculum-Based Course Timetabling Problem and we undertake a systematic statistical study of the relative influence of the relevant features on the performances of the algorithm. In particular, we apply modern statistical techniques for the design and analysis of experiments, such as nearly orthogonal space-filling Latin hypercubes and response surface methods. As a result of this analysis, our technique, properly tuned, compares favorably with the best known ones for this problem.