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 am the chair of the MISTA (Multidisciplinary International Conference on Scheduling: Theory and Applications)
http://bit.ly/hvZIaN
The hunt for MH370
http://bit.ly/1DXRLbu

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Football Prediction: A decision to be made

Publication(s)

An Investigation of an Evolutionary Approach to the Opening of Go
http://bit.ly/dIVT5J
Scheduling the English Football League with a Multi-objective Evolutionary Algorithm
http://bit.ly/1HXMsuU
Making Airline Schedules More Robust
http://bit.ly/hbGm4B
Automating the Packing Heuristic Design Process with Genetic Programming
http://bit.ly/19OfB8C

Graham Kendall: Details of Requested Publication


Citation

Oates, R; Greensmith, J; Aickelin, U; Garibaldi, J.M and Kendall, G The Application of a Dendritic Cell Algorithm to a Robotic Classifier. In Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007), pages 204-215, Springer, 26-29 August 2007, Santos, Brazil, Lecture Notes in Computer Science 4628, 2007.


Abstract

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/978-3-540-73922-7_18 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/10.1007/978-3-540-73922-7

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{ogagk2007, author = {R. Oates and J. Greensmith and U. Aickelin and J.M. Garibaldi and G. Kendall},
title = {The Application of a Dendritic Cell Algorithm to a Robotic Classifier},
booktitle = {Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007)},
year = {2007},
editor = {L. Nunes de Castro and F. Jose Von Zuben and H. Knidel},
volume = {4628},
series = {Lecture Notes in Computer Science},
pages = {204--215},
address = {26-29 August 2007, Santos, Brazil},
publisher = {Springer},
abstract = {The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.},
doi = {10.1007/978-3-540-73922-7_18},
keywords = {DCA, Debdetric Cell, AIS, Artificail Immune Systems, Robotics, Robot},
timestamp = {2007.08.08},
url = {http://dx.doi.org/10.1007/978-3-540-73922-7},
webpdf = {http://www.graham-kendall.com/papers/ogagk2007.pdf} }