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

How are football fixtures worked out?
http://bit.ly/1z0oTAH
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Bin Packing Made Easier?

Publication(s)

A Heuristic Approach for the Travelling Tournament Problem using Optimal Travelling Salesman Tours
http://bit.ly/fmZWW1
Effect of Look-Ahead Depth in Evolutionary Checkers
http://bit.ly/1PtXSaX
Does money matter in inflation forecasting?
http://bit.ly/fRebpX
Population based Local Search for university course timetabling problems
http://bit.ly/1mlJLZj

Graham Kendall: Details of Requested Publication


Citation

Kendall, G and Mohamad, M Channel Assignment Optimisation Using a Hyper-Heuristic. In Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS 2004), pages 790-795, Singapore, 2004.


Abstract

The channel assignment problem is a real world problem from the mobile communications industry. The primary objective is to find the minimum frequency bandwidth given different traffic demand distribution within the mobile network, besides fulfilling the channel demand requirement, we must also consider the minimum channel reuse distance in order to avoid the effect of call interference within the same cell or adjacent cells. Previous approaches have used graph-colouring algorithms, heuristic search, neural networks, simulated annealing and genetic algorithms (CA). In this paper, we propose a hyper-heuristic methodology and compare our approach against channel assignment problems from the literature


pdf

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doi

The doi for this publication is 10.1109/ICCIS.2004.1460689 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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Bibtex

@INPROCEEDINGS{km2004b, author = {G. Kendall and M. Mohamad},
title = {Channel Assignment Optimisation Using a Hyper-Heuristic},
booktitle = {Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS 2004)},
year = {2004},
pages = {790--795},
address = {Singapore},
month = {1-3 December},
abstract = {The channel assignment problem is a real world problem from the mobile communications industry. The primary objective is to find the minimum frequency bandwidth given different traffic demand distribution within the mobile network, besides fulfilling the channel demand requirement, we must also consider the minimum channel reuse distance in order to avoid the effect of call interference within the same cell or adjacent cells. Previous approaches have used graph-colouring algorithms, heuristic search, neural networks, simulated annealing and genetic algorithms (CA). In this paper, we propose a hyper-heuristic methodology and compare our approach against channel assignment problems from the literature},
doi = {10.1109/ICCIS.2004.1460689},
keywords = {Channel Assignment, Telcommunications, hyper-heuristic, hyperheuristic, channel allocation},
timestamp = {2007.03.29},
webpdf = {http://www.graham-kendall.com/papers/km2004b.pdf} }