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 have published a few papers on Sports Scheduling.
http://bit.ly/gVaUqT
If you are interested in hyper-heuristics, take a look at my publications in this area
http://bit.ly/efxLGg

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

MISTA Conference: Plenary Talk (Moshe Dror)

Publication(s)

Diversity in Genetic Programming: An Analysis of Measures and Correlation with Fitness
RATE_LIMIT_EXCEEDED
A Simulated Annealing Enhancement of the Best-Fit Heuristic for the Orthogonal Stock-Cutting Problem
RATE_LIMIT_EXCEEDED
An efficient guided local search approach for service network design problem with asset balancing
RATE_LIMIT_EXCEEDED
Artificial and Computational Intelligence for Games on Mobile Platforms
RATE_LIMIT_EXCEEDED

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

You can download the pdf of this publication from here


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} }