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

If you are interested in hyper-heuristics, take a look at my publications in this area
http://bit.ly/efxLGg
A Conversation article celebrating Pi
http://bit.ly/1DXuXbV

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Software Support

Publication(s)

Using an Evolutionary Algorithm for the Tuning of a Chess Evaluation Function Based on a Dynamic Boundary Strategy
http://bit.ly/hsgyZ8
An investigation of a tabu assisted hyper-heuristic genetic algorithm
http://bit.ly/e1WFfU
A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization
http://bit.ly/1wqQplE
On Nash equilibrium and evolutionarily stable states that are not characterised by the folk theorem
http://bit.ly/1J4KNC0

Graham Kendall: Details of Requested Publication


Citation

Lucas, S.M and Kendall, G Evolutionary Computation and Games (Invited Review). IEEE Computational Intelligence Magazine, 1 (1): 10-18, 2006.


Abstract

Games provide competitive, dynamic environments that make ideal test beds for computational intelligence theories, architectures, and algorithms. Natural evolution can be considered to be a game in which the rewards for an organism that plays a good game of life are the propagation of its genetic material to its successors and its continued survival. In natural evolution, the fitness of an individual is defined with respect to its competitors and collaborators, as well as to the environment. Within the evolutionary computation (EC) literature, this is known as co-evolution and within this paradigm, expert game-playing strategies have been evolved without the need for human expertise.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1109/MCI.2006.1597057 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 (2.571), 2013 (2.706), 2012 (4.629), 2011 (3.368), 2010 (2.833), 2009 (2.622), 2008 (2.767), 2007 (1.619)

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{lk2006, author = {S.M. Lucas and G. Kendall},
title = {Evolutionary Computation and Games (Invited Review)},
journal = {IEEE Computational Intelligence Magazine},
year = {2006},
volume = {1},
pages = {10--18},
number = {1},
month = {February 2006},
abstract = {Games provide competitive, dynamic environments that make ideal test beds for computational intelligence theories, architectures, and algorithms. Natural evolution can be considered to be a game in which the rewards for an organism that plays a good game of life are the propagation of its genetic material to its successors and its continued survival. In natural evolution, the fitness of an individual is defined with respect to its competitors and collaborators, as well as to the environment. Within the evolutionary computation (EC) literature, this is known as co-evolution and within this paradigm, expert game-playing strategies have been evolved without the need for human expertise.},
date-modified = {2007-01-16 16:10:05 +0000},
doi = {10.1109/MCI.2006.1597057},
issn = {1556-603X},
keywords = {Games, Poker, FPS, First Person Shooter, Strategy, Intelligence, Poker, Checkers, Chess, Perfect Information, Imperfect Information, Evolution, Video Games, Evolutionary Computation, Pacman, Coevolution, Temporal Difference Learning},
webpdf = {http://www.graham-kendall.com/papers/lk2006.pdf} }