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

The hunt for MH370
http://bit.ly/1DXRLbu
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

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Bibtex: Display papers by a given author

Publication(s)

The Entity-to-Algorithm Allocation Problem: Extending the Analysis
http://bit.ly/1yHLiyp
A local search approach to a circle cutting problem arising in the motor cycle industry
http://bit.ly/dJxzGW
Good Laboratory Practice for optimization research
http://bit.ly/1TFr8zD
Multi-drop container loading using a multi-objective evolutionary algorithm
http://bit.ly/1mlJK7A

Graham Kendall: Details of Requested Publication


Citation

Moody, D; Kendall, G and Bar-Noy, A Constructing Initial Neighbourhoods to Identify Critical Constraints. In Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008), 18-22 August 2008, Montreal, Canada, 2008.

This was published in the proceedings as an abstract (not a full paper)


Abstract

Recent course scheduling competitions have seen solution approaches which construct an initial solution quickly, and then employ a local search to improve the solution. With the use of different seeds, this process is repeated, searching for the best solution. Solutions with constraint violations provide little guidance on which constraints to relax in order to produce a better quality solution. Our approach seeks to construct several high quality initial solutions and analyze their characteristics which enables us to predict the relative success of the local search phase. With this capability, sets of initial solutions can be generated with selected constraint relaxations, leading to a prediction of which constraint relaxation can most improve the final solution, leading to a good quality solution.


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Bibtex

@INPROCEEDINGS{mkb2008, author = {D. Moody and G. Kendall and A. Bar-Noy},
title = {Constructing Initial Neighbourhoods to Identify Critical Constraints},
booktitle = {Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008)},
year = {2008},
editor = {E.K. Burke and M. Gendreau},
address = {18-22 August 2008, Montreal, Canada},
note = {This was published in the proceedings as an abstract (not a full paper)},
abstract = {Recent course scheduling competitions have seen solution approaches which construct an initial solution quickly, and then employ a local search to improve the solution. With the use of different seeds, this process is repeated, searching for the best solution. Solutions with constraint violations provide little guidance on which constraints to relax in order to produce a better quality solution. Our approach seeks to construct several high quality initial solutions and analyze their characteristics which enables us to predict the relative success of the local search phase. With this capability, sets of initial solutions can be generated with selected constraint relaxations, leading to a prediction of which constraint relaxation can most improve the final solution, leading to a good quality solution.},
keywords = {neighborhoods, constructive, course timetabling, heuristic},
owner = {rxj},
timestamp = {2008.09.12},
webpdf = {http://www.graham-kendall.com/papers/mkb2008.pdf} }