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
I have published a number of papers on Cutting and Packing
http://bit.ly/dQPw7T

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Wisdom of the Crowds at the Graduate School Christmas Party

Publication(s)

On Nie-Tan operator and type-reduction of interval type-2 fuzzy sets
http://bit.ly/2kqxtD3
A Tabu Search Hyper-heuristic Approach to the Examination Timetabling Problem at the MARA University of Technology
http://bit.ly/fA5Mv6
An Evolutionary Approach for the Tuning of a Chess Evaluation Function using Population Dynamics
http://bit.ly/dFh029
Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation
http://bit.ly/dVxwCs

Graham Kendall: Details of Requested Publication


Citation

Burke, E. K; Kendall, G; O’Brien, R. F. J; Redrup, D and Soubeiga, E An Ant-Algorithm Hyper-heuristic. In Proceedings of The Fifth Metaheuristics International Conference (MIC 2003), pages 10-1-10-10, Kyoto, Japan, 2003.


Abstract

Ant algorithms were introduced in 1996 by Dorigo as a collaborative optimisation method, but it can be argued that they have not yet fulfilled their potential. Hyper-heuristic research is concerned with the development of “heuristics to choose heuristics” in an attempt to raise the level of generality at which optimisation systems can operate. In this paper the two are brought together. Variants of applications of the ant algorithm as a hyper-heuristic are investigated and developed. The results are evaluated against other hyper-heuristic methods.


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Bibtex

@INPROCEEDINGS{bgors2003, author = {E. K. Burke and G. Kendall and R. F. J. O’Brien and D. Redrup and E. Soubeiga},
title = {An Ant-Algorithm Hyper-heuristic},
booktitle = {Proceedings of The Fifth Metaheuristics International Conference (MIC 2003)},
year = {2003},
pages = {10-1 -- 10-10},
address = {Kyoto, Japan},
month = {Kyoto, Japan, August 25–28 2003},
abstract = {Ant algorithms were introduced in 1996 by Dorigo as a collaborative optimisation method, but it can be argued that they have not yet fulfilled their potential. Hyper-heuristic research is concerned with the development of “heuristics to choose heuristics” in an attempt to raise the level of generality at which optimisation systems can operate. In this paper the two are brought together. Variants of applications of the ant algorithm as a hyper-heuristic are investigated and developed. The results are evaluated against other hyper-heuristic methods.},
keywords = {ant algorithms, hyper-heuristic, hyperheuristic, ACO},
owner = {gxk},
timestamp = {2011.01.06},
webpdf = {http://www.graham-kendall.com/papers/bgors2003.pdf} }