Abstract
One of the annual issues that has to be addressed in English football is producing a fixture schedule for the holiday periods that reduces the travel distance for the fans and players. This problem can be seen as a minimisation problem which must abide to the constraints set by the Football Association. In this study, the performance of selection hyper-heuristics is investigated as a solution methodology. Hyper-heuristics aim to automate the process of selecting and combining simpler heuristics to solve computational search problems. A selection hyper-heuristic stores a single candidate solution in memory and iteratively applies selected low level heuristics to improve it. The results show that the learning hyper-heuristics outperform some previously proposed approaches and solutions published by the Football Association. © 2010 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Gibbs, J., Kendall, G., & Özcan, E. (2010). Scheduling English football fixtures over the holiday period using hyper-heuristics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6238 LNCS, pp. 496–505). https://doi.org/10.1007/978-3-642-15844-5_50
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.