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 am involved with a spin out company that specialises in Strategic Resource Planning
http://bit.ly/eTPZO2
Help solve Santa's logistics problems
http://bit.ly/1DXreuW

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

MISTA Conference

Publication(s)

Evolutionary Strategies vs. Neural Networks: An Inflation Forecasting Experiment
http://bit.ly/h6J8Xv
Regulators as agents: Modelling personality and power as evidence is brokered to support decisions on environmental risk
http://bit.ly/1bh6em7
Applying Simulated Annealing and the No Fit Polygon to the Nesting Problem
http://bit.ly/ikrub2
Hybridising heuristics within an estimation distribution algorithm for examination timetabling
http://bit.ly/1Plbd56

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

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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

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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} }