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

How to teach Deep Blue to play poker and deliver groceries
http://bit.ly/1DXGeZD
A Conversation article celebrating Pi
http://bit.ly/1DXuXbV

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Vehicle Routing: VeRoLog Solver Challenge 2014

Publication(s)

The evolution of blackjack strategies
http://bit.ly/gdKjUc
Ghost direction detection and other innovations for Ms. Pac-Man
http://bit.ly/hRqET5
Backward Induction and Repeated Games With Strategy Constraints: An Inspiration From the Surprise Exam Paradox
http://bit.ly/1ib50Nd
Good Laboratory Practice for optimization research
http://bit.ly/1TFr8zD

Graham Kendall: Details of Requested Publication


Citation

Terrazas, G; Gheorghe, M; Kendall, G and Krasnogor, N Evolving Tiles for Automated Self-Assembly Design. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2007), pages 2001-2008, Swissotel The Stamford, Singapore, 2007.

This paper won the best student paper AND the best overall paper at the conference.


Abstract

Self-assembly is a distributed, asynchronous mechanism that is pervasive across natural systems where hierarchical complex structures are built from the bottom-up. The lack of a centralised master plan, no external intervention, and preprogrammed interactions among entities are within its most relevant and technologically appealing properties. This paper tackles the self-assembly Wang tiles designability problem by means of artificial evolution. This research is centred in the use of tiles that are extended with rotation and probabilistic motion, and an evolutionary algorithm using the Morphological Image Analyses method as a fitness function. The obtained results support this approach as a successful engineering mechanism for the computer-aided design of self-assembled patterns.


pdf

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doi

The doi for this publication is 10.1109/CEC.2007.4424719 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

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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{tgkk2007, author = {G. Terrazas and M. Gheorghe and G. Kendall and N. Krasnogor},
title = {Evolving Tiles for Automated Self-Assembly Design},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2007)},
year = {2007},
pages = {2001--2008},
address = {Swissotel The Stamford, Singapore},
month = {September 25-28},
organization = {Swissotel The Stamford, Singapore},
note = {This paper won the best student paper AND the best overall paper at the conference.},
abstract = {Self-assembly is a distributed, asynchronous mechanism that is pervasive across natural systems where hierarchical complex structures are built from the bottom-up. The lack of a centralised master plan, no external intervention, and preprogrammed interactions among entities are within its most relevant and technologically appealing properties. This paper tackles the self-assembly Wang tiles designability problem by means of artificial evolution. This research is centred in the use of tiles that are extended with rotation and probabilistic motion, and an evolutionary algorithm using the Morphological Image Analyses method as a fitness function. The obtained results support this approach as a successful engineering mechanism for the computer-aided design of self-assembled patterns.},
doi = {10.1109/CEC.2007.4424719},
keywords = {self-assembly, artificail evolution, Morphological Image Analyses, engineering},
timestamp = {2007.05.22},
webpdf = {http://www.graham-kendall.com/papers/tgkk2007.pdf} }