Abstract
We describe a multi-objective evolutionary algorithm that derives schedules for the National Hockey League according to three objectives: minimising the teams' total travel, promoting equity in rest time between games, and minimising long streaks of home or away games. Experiments show that the system is able to derive schedules that beat the 2008-9 NHL schedule in all objectives simultaneously, and that it returns a set of schedules that offer a range of trade-offs across the objectives. © Springer-Verlag Berlin Heidelberg 2009.
Author supplied keywords
Cite
CITATION STYLE
Craig, S., While, L., & Barone, L. (2009). Scheduling for the National Hockey League using a multi-objective evolutionary algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5866 LNAI, pp. 381–390). https://doi.org/10.1007/978-3-642-10439-8_39
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
