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
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Ranking’s research impact indicator is skewed

Publication(s)

The Scalability of Evolved On Line Bin Packing Heuristics
http://bit.ly/eVBJTd
Multi-method algorithms: Investigating the entity-to-algorithm allocation problem
http://bit.ly/1goMj5g
A Multiobjective Approach for UK Football Scheduling
http://bit.ly/fV4caa
The Scalability of Evolved On Line Bin Packing Heuristics
http://bit.ly/eVBJTd

Graham Kendall: Details of Requested Publication


Citation

Gustafson, S; Burke, E and Kendall, G A Survey and Analysis of Diversity Measures in Genetic Programming. In Proceedings of Genetic and Evolutionary Computation Conference 2002 (GECCO 2002), New York, USA, July 9-13, 2002.

This paper incorrectly cited P. D'haeseleer 1994 paper on context preserving crossover. The correct citation should be the "Effects of Locality in Individual Population Evolution" in Advances in Genetic Programming, 1994, edited by K.E Kinnear Jr


Abstract

This paper presents a survey and comparison of the significant diversity measures in the genetic programming literature. The overall aim and motivation behind this study is to attempt to gain a deeper understanding of genetic programming dynamics and the conditions under which genetic programming works well. Three benchmark problems (Artificial Ant, Symbolic Regression and Even-5-Parity) are used to illustrate different diversity measures and to analyse their correlation with performance. The results show that diversity is not an absolue indicator of performance and that phenotypic measures appear to be superior to and genotypic ones. Finally we conclude that interssting potentail exists with tracking ancestral linkages.


pdf

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doi

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URL

The URL for additional information is http://portal.acm.org/citation.cfm?id=682789

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Bibtex

@INPROCEEDINGS{gbk2002, author = {S. Gustafson and E. Burke and G. Kendall},
title = {A Survey and Analysis of Diversity Measures in Genetic Programming},
booktitle = {Proceedings of Genetic and Evolutionary Computation Conference 2002 (GECCO 2002)},
year = {2002},
address = {New York, USA, July 9-13},
note = {This paper incorrectly cited P. D'haeseleer 1994 paper on context preserving crossover. The correct citation should be the "Effects of Locality in Individual Population Evolution" in Advances in Genetic Programming, 1994, edited by K.E Kinnear Jr},
abstract = {This paper presents a survey and comparison of the significant diversity measures in the genetic programming literature. The overall aim and motivation behind this study is to attempt to gain a deeper understanding of genetic programming dynamics and the conditions under which genetic programming works well. Three benchmark problems (Artificial Ant, Symbolic Regression and Even-5-Parity) are used to illustrate different diversity measures and to analyse their correlation with performance. The results show that diversity is not an absolue indicator of performance and that phenotypic measures appear to be superior to and genotypic ones. Finally we conclude that interssting potentail exists with tracking ancestral linkages.},
keywords = {genetic programming, diversity measure, Artificial Ant, Symbolic Regression and Even-5-Parity, genotypic, phenotypic},
owner = {gxk},
timestamp = {2011.01.16},
url = {http://portal.acm.org/citation.cfm?id=682789},
webpdf = {http://www.graham-kendall.com/papers/gbk2002.pdf} }