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
I have wriiten a number of articles for TheConversation
http://bit.ly/1yWlOkE

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Singapore Statement on Research Integrity

Publication(s)

A Tabu Search hyper-heuristic strategy for t-way test suite generation
http://bit.ly/1W2GjGR
Evaluating the performance of a EuroDivisia index using artificial intelligence techniques
http://bit.ly/eJvwpG
An evaluation of UK risky money: an artificial intelligence approach
http://bit.ly/idh7zY
Evolutionary Strategies vs. Neural Networks: An Inflation Forecasting Experiment
http://bit.ly/h6J8Xv

Graham Kendall: Details of Requested Publication


Citation

Kahar, M.N. M. and Kendall, G A great deluge algorithm for a real-world examination timetabling problem. Journal of the Operational Research Society, 66 (1): 116-133, 2015.

ISSN: 0160-5682


Abstract

The examination timetabling problem involves assigning exams to a specific or limited number of timeslots and rooms with the aim of satisfying all hard constraints (without compromise) and satisfying the soft constraints as far as possible. Most of the techniques reported in the literature have been applied to simplified examination benchmark data sets. In this paper, we bridge the gap between research and practice by investigating a problem taken from the real world. This paper introduces a modified and extended great deluge algorithm (GDA) for the examination timetabling problem that uses a single, easy to understand parameter. We investigate different initial solutions, which are used as a starting point for the GDA, as well as altering the number of iterations. In addition, we carry out statistical analyses to compare the results when using these different parameters. The proposed methodology is able to produce good quality solutions when compared with the solution currently produced by the host organisation, generated in our previous work and from the original GDA.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1057/jors.2012.169 You can link directly to the original paper, via the doi, from here

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


Journal Rankings


ISI Web of Knowledge Journal Citation Reports

The Web of Knowledge Journal Citation Reports (often known as ISI Impact Factors) help measure how often an article is cited. You can get an introduction to Journal Citation Reports here. Below I have provided the ISI impact factor for the jourrnal in which this article was published. For complete information I have shown the ISI ranking over a number of years, with the latest ranking highlighted.

2014 (0.953), 2013 (0.911), 2012 (0.989), 2011 (0.971), 2010 (1.102), 2009 (1.009), 2008 (0.839), 2007 (0.784), 2006 (0.597), 2005 (0.603), 2004 (0.515), 2003 (0.416), 2002 (0.493), 2001 (0.438), 2000 (0.648)

URL

This pubication does not have a URL associated with it.

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

@ARTICLE{kk2015, author = {M.N. Mohmad Kahar and G. Kendall},
title = {A great deluge algorithm for a real-world examination timetabling problem},
journal = {Journal of the Operational Research Society},
year = {2015},
volume = {66},
pages = {116--133},
number = {1},
note = {ISSN: 0160-5682},
abstract = {The examination timetabling problem involves assigning exams to a specific or limited number of timeslots and rooms with the aim of satisfying all hard constraints (without compromise) and satisfying the soft constraints as far as possible. Most of the techniques reported in the literature have been applied to simplified examination benchmark data sets. In this paper, we bridge the gap between research and practice by investigating a problem taken from the real world. This paper introduces a modified and extended great deluge algorithm (GDA) for the examination timetabling problem that uses a single, easy to understand parameter. We investigate different initial solutions, which are used as a starting point for the GDA, as well as altering the number of iterations. In addition, we carry out statistical analyses to compare the results when using these different parameters. The proposed methodology is able to produce good quality solutions when compared with the solution currently produced by the host organisation, generated in our previous work and from the original GDA.},
doi = {10.1057/jors.2012.169},
issn = {0160-5682},
owner = {Graham},
timestamp = {2013.08.03},
webpdf = {http://www.graham-kendall.com/papers/kk2015.pdf} }