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
A Conversation article celebrating Pi
http://bit.ly/1DXuXbV

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

How Isaac Newton could help you beat the casino at roulette

Publication(s)

Evolving Weights for a new UK Divisia.
http://bit.ly/fopoFg
Guided Operators for a Hyper-Heuristic Genetic Algorithm
http://bit.ly/hd4Erh
An artificial neural network for predicting domestic hot water characteristics
http://bit.ly/dNtSFu
Does money matter in inflation forecasting?
http://bit.ly/fRebpX

Graham Kendall: Details of Requested Publication


Citation

Burke, E; Kendall, G; Silva, D. L.; O'Brien, R and Soubeiga, E. An ant algorithm hyperheuristic for the project presentation scheduling problem. In Proceedings of the 2005 IEEE Congress on Evolutionary Computation, pages 2263-2270, 2005.


Abstract

Ant algorithms have generated significant research interest within the search/optimization community in recent years. Hyperheuristic research is concerned with the development of "heuristics to choose heuristics" in an attempt to raise the level of generality at which optimization systems can operate. In this paper the two are brought together. An investigation of the ant algorithm as a hyperheuristic is presented and discussed. The results are evaluated against other hyperheuristic methods, when applied to a real world scheduling problem.


pdf

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doi

The doi for this publication is 10.1109/CEC.2005.1554976 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{bksos2005, author = {E. Burke and G. Kendall and D. Landa Silva and R. O'Brien and E. Soubeiga},
title = {An ant algorithm hyperheuristic for the project presentation scheduling problem},
booktitle = {Proceedings of the 2005 IEEE Congress on Evolutionary Computation},
year = {2005},
pages = {2263--2270},
abstract = {Ant algorithms have generated significant research interest within the search/optimization community in recent years. Hyperheuristic research is concerned with the development of "heuristics to choose heuristics" in an attempt to raise the level of generality at which optimization systems can operate. In this paper the two are brought together. An investigation of the ant algorithm as a hyperheuristic is presented and discussed. The results are evaluated against other hyperheuristic methods, when applied to a real world scheduling problem.},
doi = {10.1109/CEC.2005.1554976},
keywords = {ant algorithms, ACO, hyper-heuristic, hyperheuristic},
owner = {gxk},
timestamp = {2011.01.02},
webpdf = {http://www.graham-kendall.com/papers/bksos2005.pdf} }