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

Does AI have a place in the board room?
http://bit.ly/1DXreuW
What do we spend so much in supermarkets?
http://bit.ly/1yW6If7

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

We should be just a number, and we should embrace it: Extend the use of ORCID?

Publication(s)

Finite iterated prisoner's dilemma revisited: belief change and end-game effect
http://bit.ly/hathrT
Learning and Game AI
http://bit.ly/1ib0wGv
Evaluating decision-making units under uncertainty using fuzzy multi-objective nonlinear programming
http://bit.ly/2k79ATE
Is There a Role for Publication Consultants and How Should Their Contribution be Recognized?
http://bit.ly/2deZjSR

Graham Kendall: Details of Requested Publication


Citation

Gustafson, S; Burke, E.K and Kendall, G Sampling of Unique Structures and Behaviours in Genetic Programming. In Proceedings of the 7th European Conference on Genetic Programming (EUROGP 2004), pages 279-288, Springer, Coimbra, Portugal, Lecture Notes in Computer Science 3003, 2004.


Abstract

This paper examines the sampling of unique structures and behaviours in genetic programming. A novel description of behaviour is used to better understand the solutions visited during genetic programming search. Results provide new insight about deception that can be used to improve the algorithm and demonstrate the capability of genetic programming to sample different large tree structures during the evolutionary process.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/978-3-540-24650-3_26 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

The URL for additional information is http://dx.doi.org/10.1007/b96274

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{gek2004, author = {S. Gustafson and E.K. Burke and G. Kendall},
title = {Sampling of Unique Structures and Behaviours in Genetic Programming},
booktitle = {Proceedings of the 7th European Conference on Genetic Programming (EUROGP 2004)},
year = {2004},
editor = {M. Keijzer and U-M. O’Reilly and S.M. Lucas and E. Costa and T. Soule},
volume = {3003},
series = {Lecture Notes in Computer Science},
pages = {279--288},
address = {Coimbra, Portugal},
month = {April 5-7},
publisher = {Springer},
abstract = {This paper examines the sampling of unique structures and behaviours in genetic programming. A novel description of behaviour is used to better understand the solutions visited during genetic programming search. Results provide new insight about deception that can be used to improve the algorithm and demonstrate the capability of genetic programming to sample different large tree structures during the evolutionary process.},
doi = {10.1007/978-3-540-24650-3_26},
keywords = {genetic programming, sampling, structures},
timestamp = {2007.03.29},
url = {http://dx.doi.org/10.1007/b96274},
webpdf = {http://www.graham-kendall.com/papers/gek2004.pdf} }