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

If you are interested in hyper-heuristics, take a look at my publications in this area
http://bit.ly/efxLGg
Does AI have a place in the board room?
http://bit.ly/1DXreuW

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

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Software Support

Publication(s)

The Cross-domain Heuristic Search Challenge - An International Research Competition
http://bit.ly/1a2VfMs
The Scalability of Evolved On Line Bin Packing Heuristics
http://bit.ly/eVBJTd
Aircraft Landing Problem using Hybrid Differential Evolution and Simple Descent Algorithm
http://bit.ly/1kqnagr
A Parallel Branch-and-Bound Approach to the Rectangular Guillotine Strip Cutting Problem
http://bit.ly/fVXMjm

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

You can download the pdf of this publication from here


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

This pubication does not have a URL associated with it.

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} }