Graham Kendall
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Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

If you are interested in hyper-heuristics, take a look at my publications in this area
http://bit.ly/efxLGg
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Crowdfunding: A new model to fund research?

Publication(s)

A dynamic truck dispatching problem in marine container terminal
http://bit.ly/2mH037B
The evolution of blackjack strategies
http://bit.ly/gdKjUc
The Effects of Extra-Somatic Weapons on the Evolution of Human Cooperation towards Non-Kin
http://bit.ly/1oXDe7O
Scheduling in sports: An annotated bibliography
http://bit.ly/eCfi42

Graham Kendall: Details of Requested Publication


Citation

While, L and Kendall, G Scheduling the English Football League with a Multi-objective Evolutionary Algorithm. In Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science, Volume 8672, pages 842-851, Slovenia, 2014.

ISSN:0302-9743


Abstract

We describe a multi-objective evolutionary algorithm that derives schedules for the English Football League over the busy New Year period according to seven objectives. The two principal objectives are to minimise travel distances for teams and supporters, and to minimise so-called “pair clashes” where teams which are geographically close play at home simultaneously, which can cause problems for police, and other logistical issues. The other five objectives implement various problem constraints. The schedules derived are often superior both to those used in the relevant years, and to those previously published in the literature, especially for the harder problem instances. In addition, the system returns a set of schedules offering different trade-offs between the main objectives, any of which might be of interest to the authorities.


pdf

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doi

The doi for this publication is 10.1007/978-3-319-10762-2_83 You can link directly to the original paper, via the doi, from here

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URL

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Bibtex

@INPROCEEDINGS{wk2014, author = {L. While and G. Kendall},
title = {Scheduling the English Football League with a Multi-objective Evolutionary Algorithm},
booktitle = {Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science, Volume 8672},
year = {2014},
pages = {842--851},
month = {13-17 Sep 2014},
organization = {Ljubljana},
publisher = {Slovenia},
note = {ISSN:0302-9743},
abstract = {We describe a multi-objective evolutionary algorithm that derives schedules for the English Football League over the busy New Year period according to seven objectives. The two principal objectives are to minimise travel distances for teams and supporters, and to minimise so-called “pair clashes” where teams which are geographically close play at home simultaneously, which can cause problems for police, and other logistical issues. The other five objectives implement various problem constraints. The schedules derived are often superior both to those used in the relevant years, and to those previously published in the literature, especially for the harder problem instances. In addition, the system returns a set of schedules offering different trade-offs between the main objectives, any of which might be of interest to the authorities.},
doi = {10.1007/978-3-319-10762-2_83},
owner = {gxk},
timestamp = {2010.12.10},
webpdf = {http://www.graham-kendall.com/papers/wk2014.pdf} }