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

Help solve Santa's logistics problems
http://bit.ly/1DXreuW
I am the chair of the MISTA (Multidisciplinary International Conference on Scheduling: Theory and Applications)
http://bit.ly/hvZIaN

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Wisdom of the Crowds at the Graduate School Christmas Party

Publication(s)

Solving Multi-objective Optimisation Problems Using the Potential Pareto Regions Evolutionary Algorithm
http://bit.ly/fCOMDK
An Iterated Local Search with Multiple Perturbation Operators and Time Varying Perturbation Steength for the Aircraft Landing Problem
http://bit.ly/1KJ1818
Learning versus Evolution in Iterated Prisoner's Dilemma
http://bit.ly/eWgsgR
Frequency analysis for dendritic cell population tuning
http://bit.ly/go1Ihk

Graham Kendall: Details of Requested Publication


Citation

Kendall, G and Mohamad, M Channel assignment in cellular communication using a great deluge hyper-heuristic. In Proceedings of the 12th IEEE International Conference on Networks (ICON 2004), pages 769-773, Singapore, 2004.


Abstract

This paper proposes a methodology for the channel assignment problem in the cellular communication industry. The problem considers the assignment of a limited channel bandwidth to satisfy a growing channel demand without violating electromagnetic interference constraints. The initial solution is generated using a random constructive heuristic. This solution is then improved by using a hyper-heuristic technique based on the great deluge algorithm. Our experimental results, on benchmarks data sets, gives promising results.


pdf

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doi

The doi for this publication is 10.1109/ICON.2004.1409283 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{km2004a, author = {G. Kendall and M. Mohamad},
title = {Channel assignment in cellular communication using a great deluge hyper-heuristic},
booktitle = {Proceedings of the 12th IEEE International Conference on Networks (ICON 2004)},
year = {2004},
pages = {769--773},
address = {Singapore},
month = {16-19 November},
abstract = {This paper proposes a methodology for the channel assignment problem in the cellular communication industry. The problem considers the assignment of a limited channel bandwidth to satisfy a growing channel demand without violating electromagnetic interference constraints. The initial solution is generated using a random constructive heuristic. This solution is then improved by using a hyper-heuristic technique based on the great deluge algorithm. Our experimental results, on benchmarks data sets, gives promising results.},
comment = {ISBN 0-7803-8783-X},
doi = {10.1109/ICON.2004.1409283},
keywords = {Channel Assignment, Telcommunications, Great Deluge Algorithm, hyper-heuristic, hyperheuristic, channel allocation},
timestamp = {2007.03.29},
webpdf = {http://www.graham-kendall.com/papers/km2004a.pdf} }