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 published a number of papers on Cutting and Packing
http://bit.ly/dQPw7T

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Random Number Generation

Publication(s)

Heuristic Space Diversity Management in a Meta-Hyper-Heuristic Framework
http://bit.ly/1uuQW45
An Integration of BP-Pool and Social Learning in the Opening of Go
http://bit.ly/1PtX9qq
We should be just a number, and we should embrace it
http://bit.ly/2mRCd5m
Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation
http://bit.ly/dH42Fp

Graham Kendall: Details of Requested Publication


Citation

Swan, J; Ochoa, G; Kendall, G and Edjvet, M Fitness Landscapes and the Andrews-Curtis Conjecture. International Journal of Algebra and Computation, 22 (2), 2012.


Abstract

Attempts have been made to eliminate some potential counterexamples to the Andrews-Curtis conjecture using the combinatorial optimization methods of blind-search and the genetic algorithms meta-heuristic. Breadth-first search with secondary storage is currently the most successful method, which raises questions regarding the inferior performance of heuristic search. In order to understand the underlying reasons we obtain fitness-landscape metrics for a number of balanced presentations and draw conclusions regarding the likely effectiveness of other meta-heuristics.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1142/S0218196711006753 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.

2015 (0.510), 2013 (0.436), 2012 (0.365), 2011 (0.453), 2010 (0.537), 2009 (0.483), 2008 (0.421), 2007 (0.414), 2006 (0.357), 2005 (0.449), 2004 (0.443), 2003 (0.457), 2002 (0.589), 2001 (0.575), 2000 (0.500)

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{sgke2012, author = {J. Swan and G. Ochoa and G. Kendall and M. Edjvet},
title = {Fitness Landscapes and the Andrews-Curtis Conjecture},
journal = {International Journal of Algebra and Computation},
year = {2012},
volume = {22},
number = {2},
abstract = {Attempts have been made to eliminate some potential counterexamples to the Andrews-Curtis conjecture using the combinatorial optimization methods of blind-search and the genetic algorithms meta-heuristic. Breadth-first search with secondary storage is currently the most successful method, which raises questions regarding the inferior performance of heuristic search. In order to understand the underlying reasons we obtain fitness-landscape metrics for a number of balanced presentations and draw conclusions regarding the likely effectiveness of other meta-heuristics.},
date-modified = {2007-01-17 16:58:57 +0000},
doi = {10.1142/S0218196711006753},
issn = {0218-1967},
keywords = {Andrews-Curtis, Fitness Landscapes},
owner = {gxk},
timestamp = {2011.08.06},
webpdf = {http://www.graham-kendall.com/papers/sgke2012.pdf} }