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

How are university examinations scheduled?
http://bit.ly/1z0pG4s
How are football fixtures worked out?
http://bit.ly/1z0oTAH

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Free online access to Journal of the Operational Research Society in April 2013

Publication(s)

Academic Timetabling: Linking Research and Practice
http://bit.ly/eroN3m
A Monte Carlo Hyper-Heuristic To Optimise Component Placement Sequencing For Multi Head Placement Machine
http://bit.ly/dJZXFI
Effect of Look-Ahead Depth in Evolutionary Checkers
http://bit.ly/1PtXSaX
An evaluation of UK risky money: an artificial intelligence approach
http://bit.ly/idh7zY

Graham Kendall: Details of Requested Publication


Citation

Kendall, G and Hussin, N. An Investigation of a Tabu Search Based Hyper-Heuristic for Examination Timetabling. In Selected papers the 1st International Conference on Multidisciplinary Scheduling: Theory and Applications, pages 309-328, Springer, 2005.

An extended abstract of this paper appeared in the Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003) pp 226-233


Abstract

This paper investigates a tabu search based hyper-heuristic for solving examination timetabling problems. The hyper-heuristic framework uses a tabu list to monitor the performance of a collection of low-level heuristics and then make tabu heuristics that have been applied too many times, thus allowing other heuristics to be applied. Experiments carried out on examination timetabling datasets from the literature show that this approach is able to produce good quality solutions


pdf

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doi

This publication does not have a doi, so we cannot provide a link to the original source

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information



URL

The URL for additional information is http://www.mistaconference.org

The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


Bibtex

@INBOOK{kh2005a, chapter = {Selected papers the 1st International Conference on Multidisciplinary Scheduling: Theory and Applications},
pages = {309--328},
title = {An Investigation of a Tabu Search Based Hyper-Heuristic for Examination Timetabling},
publisher = {Springer},
year = {2005},
editor = {G. Kendall and E.K. Burke and S. Petrovic and M. Gendreau},
author = {G. Kendall and N. M Hussin},
note = {An extended abstract of this paper appeared in the Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003) pp 226-233},
abstract = {This paper investigates a tabu search based hyper-heuristic for solving examination timetabling problems. The hyper-heuristic framework uses a tabu list to monitor the performance of a collection of low-level heuristics and then make tabu heuristics that have been applied too many times, thus allowing other heuristics to be applied. Experiments carried out on examination timetabling datasets from the literature show that this approach is able to produce good quality solutions},
booktitle = {Selected papers from MISTA 2003},
keywords = {tabu search, hyper-heuristics, hyperheurstics, exam timetabling, examination timetabling, Carter},
timestamp = {2007.03.29},
url = {http://www.mistaconference.org},
webpdf = {http://www.graham-kendall.com/papers/kh2005a.pdf} }