Graham Kendall
Various Images

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.


I have published a few papers on Sports Scheduling.
I have published a number of papers on Cutting and Packing

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Latex Editors: WinEdt versus TeXstudio


A Parameter-Free Hyperheuristic for Scheduling a Sales Summit
Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization
A Tabu Search hyper-heuristic strategy for t-way test suite generation
Channel Assignment Optimisation Using a Hyper-Heuristic

Graham Kendall: Details of Requested Publication


Binner, J; Kendall, G and Gazely, A Evolving Neural Networks with Evolutionary Strategies: A New Application to Divisa Money. Advances in Econometrics, 19: 127-143, 2004.



There is no pdf available for this paper. You might like to try to obtain the original source (see the doi, for example)


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 for more information

Journal Rankings


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.


@ARTICLE{bkg2004a, author = {J. Binner and G. Kendall and A. Gazely},
title = {Evolving Neural Networks with Evolutionary Strategies: A New Application to Divisa Money},
journal = {Advances in Econometrics},
year = {2004},
volume = {19},
pages = {127--143},
issn = {0731-9053},
keywords = {Divisia, Neural Networks, Evolution, Money},
owner = {gxk},
timestamp = {2010.12.07} }