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.

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Operational or Operations Research?

Publication(s)

A novel approach to independent taxi scheduling problem based on stable matching
http://bit.ly/1A3GUfR
An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem
http://bit.ly/egxt0d
A Hyper-Heuristic Approach to Strip Packing Problems
http://bit.ly/fkNqJz
Throughput Maximization of Queueing Networks with Simultaneous Minimization of Service Rates and Buffers
http://bit.ly/1cJuWLM

Graham Kendall: Details of Requested Publication


Citation

Sabar, N.R; Ayob, M and Kendall, G Tabu Exponential Monte-Carlo with Counter Heuristic for Examination Timetabling. In Proceedings of the IEEE Symposium on Computational Intelligence in Scheduling, 2009 (CISched 2009), pages 90-94, 2009.


Abstract

In this work, we introduce a new heuristic TEMCQ (Tabu Exponential Monte-Carlo with Counter) for solving exam timetabling problems. This work, an extension of the EMCQ (Exponential Monte-Carlo with Counter) heuristic that was originally introduced by Ayob and Kendall. EMCQ accepts an improved solution but intelligently accepts worse solutions depending on the solution quality, search time and the number of consecutive non-improving iterations. In order to enhance the EMCQ heuristic, we hybridise it with tabu search, in which the accepted moves are kept in a tabu list for a certain number of iterations in order to avoid cyclic moves. In this work, we test TEMCQ on the un-capacitated Carter's benchmark examination timetable dataset and evaluate the heuristic performance using standard proximity cost. We compare our results against other methodologies that have been reported in the literature over recent years. Results demonstrate that TEMCQ produces good results and outperforms other approaches on several benchmark instances.


pdf

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doi

The doi for this publication is 10.1109/SCIS.2009.4927020 You can link directly to the original paper, via the doi, from here

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Bibtex

@INPROCEEDINGS{sak2009b, author = {N.R. Sabar and M. Ayob and G. Kendall},
title = {Tabu Exponential Monte-Carlo with Counter Heuristic for Examination Timetabling.},
booktitle = {Proceedings of the IEEE Symposium on Computational Intelligence in Scheduling, 2009 (CISched 2009)},
year = {2009},
pages = {90--94},
month = {30 March - 2nd April 2009},
organization = {Nashville, Tennessee, USA},
abstract = {In this work, we introduce a new heuristic TEMCQ (Tabu Exponential Monte-Carlo with Counter) for solving exam timetabling problems. This work, an extension of the EMCQ (Exponential Monte-Carlo with Counter) heuristic that was originally introduced by Ayob and Kendall. EMCQ accepts an improved solution but intelligently accepts worse solutions depending on the solution quality, search time and the number of consecutive non-improving iterations. In order to enhance the EMCQ heuristic, we hybridise it with tabu search, in which the accepted moves are kept in a tabu list for a certain number of iterations in order to avoid cyclic moves. In this work, we test TEMCQ on the un-capacitated Carter's benchmark examination timetable dataset and evaluate the heuristic performance using standard proximity cost. We compare our results against other methodologies that have been reported in the literature over recent years. Results demonstrate that TEMCQ produces good results and outperforms other approaches on several benchmark instances.},
doi = {10.1109/SCIS.2009.4927020},
keywords = {tabu search, monte carlo, examination timetabling, EMCQ, heuristic, meta-heuristics},
owner = {est},
timestamp = {2010.03.18},
webpdf = {http://www.graham-kendall.com/papers/sak2009b.pdf} }