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

MISTA Conference: Plenary Talk (Raymond Kwan)

Publication(s)

A great deluge algorithm for a real-world examination timetabling problem
http://bit.ly/1xCdCSx
A Model for Fresh Produce Shelf-Space Allocation and Inventory Management with Freshness-Condition-Dependent Demand
http://bit.ly/ehgQ1O
An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem
http://bit.ly/egxt0d
The Effects of Extra-Somatic Weapons on the Evolution of Human Cooperation towards Non-Kin
http://bit.ly/1oXDe7O

Graham Kendall: Details of Requested Publication


Citation

Al-Khateeb, B and Kendall, G The importance of a piece difference feature to Blondie24. In Proceedings of the 2010 UK Workshop on Computational Intelligence (UKCI), pages 1-6, 2010.


Abstract

In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel's Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this work provides a different experimental setup to previous work, but arrives at the same conclusion. Our experiments show that piece difference has a significant effect on learning abilities.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1109/UKCI.2010.5625582 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



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

@INPROCEEDINGS{ak2010, author = {B. Al-Khateeb and G. Kendall},
title = {The importance of a piece difference feature to Blondie24},
booktitle = {Proceedings of the 2010 UK Workshop on Computational Intelligence (UKCI)},
year = {2010},
pages = {1--6},
month = {8-10 Sep 2010},
organization = {Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK},
abstract = {In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel's Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this work provides a different experimental setup to previous work, but arrives at the same conclusion. Our experiments show that piece difference has a significant effect on learning abilities.},
doi = {10.1109/UKCI.2010.5625582},
keywords = {Checkers, Blondie24, Draughts, Games, Computational Intelligence, Neural Networks, evolutionary computation},
owner = {gxk},
timestamp = {2010.12.11},
webpdf = {http://www.graham-kendall.com/papers/ak2010.pdf} }