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
I am the chair of the MISTA (Multidisciplinary International Conference on Scheduling: Theory and Applications)
http://bit.ly/hvZIaN

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Periodic Table of Videos (Hydrogen – 1 – H)

Publication(s)

An Ant-Algorithm Hyper-heuristic
http://bit.ly/eeGL0m
Artificial and Computational Intelligence for Games on Mobile Platforms
http://bit.ly/1hWKtsE
Irregular Packing using the Line and Arc No-Fit Polygon
http://bit.ly/hf6IdA
Elicitation of Strategies in Four Variants of a Round-robin Tournament: The case of Goofspiel
http://bit.ly/2d96xWj

Graham Kendall: Details of Requested Publication


Citation

Moody, D; Kendall, G and Bar-Noy, A An efficient and robust approach to generate high quality solutions for the Traveling Tournament Problem. In Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010), pages 273-282, 2010.


Abstract

The Traveling Tournament Problem (TTP) describes a typical sports scheduling challenge. The TTP, which is based on the U.S. Major League Baseball (MLB), has specific instances with results available on the web. Several approaches have been proposed since the problems creation. The best of these solutions use extensive resources in local search activities to find high quality solutions. We propose a tiling method that can produce a good quality solution, using a fraction of the resources documented in other approaches. Our solution can also be expanded to handle the additional real-world scheduling requirements, including unbalanced schedules within the MLB.


pdf

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Bibtex

@INPROCEEDINGS{mkb2010a, author = {D. Moody and G. Kendall and A. Bar-Noy},
title = {An efficient and robust approach to generate high quality solutions for the Traveling Tournament Problem.},
booktitle = {Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010)},
year = {2010},
editor = {B. McCollum and E.K. Burke},
pages = {273--282},
month = {11-13 August 2010},
organization = {Queen's University Belfast, UK},
abstract = {The Traveling Tournament Problem (TTP) describes a typical sports scheduling challenge. The TTP, which is based on the U.S. Major League Baseball (MLB), has specific instances with results available on the web. Several approaches have been proposed since the problems creation. The best of these solutions use extensive resources in local search activities to find high quality solutions. We propose a tiling method that can produce a good quality solution, using a fraction of the resources documented in other approaches. Our solution can also be expanded to handle the additional real-world scheduling requirements, including unbalanced schedules within the MLB.},
keywords = {Football, Soccer, Scheduling, Sports, TTP, Travelling Tournament Problem},
owner = {gxk},
timestamp = {2010.12.10},
webpdf = {http://www.graham-kendall.com/papers/mkb2010a.pdf} }