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

I blog occasionally, feel free to take a look.
http://bit.ly/hq6rMK
What do we spend so much in supermarkets?
http://bit.ly/1yW6If7

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

2015 General Election Prediction: Wisdom of the Crowds

Publication(s)

Scheduling TV Commercials: Models and Solution Methodologies
http://bit.ly/idSBCA
A Tabu Search hyper-heuristic strategy for t-way test suite generation
http://bit.ly/1W2GjGR
An efficient guided local search approach for service network design problem with asset balancing
http://bit.ly/fY7uch
Scheduling English Football Fixtures: Consideration of Two Conflicting Objectives
http://bit.ly/1hWKuwV

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 problem’s 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.


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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 problem’s 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} }