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

A Conversation article celebrating Pi
http://bit.ly/1DXuXbV
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

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MISTA Conference

Publication(s)

Investigation of an Adaptive Cribbage Player
http://bit.ly/eVPybN
Evolutionary Strategies vs. Neural Networks: An Inflation Forecasting Experiment
http://bit.ly/h6J8Xv
Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling
http://bit.ly/h17mwh
Regulators as agents: Modelling personality and power as evidence is brokered to support decisions on environmental risk
http://bit.ly/1bh6em7

Graham Kendall: Details of Requested Publication


Citation

Qu, R; Xu, Y and Kendall, G A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing. In Proceedings of Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics (LION 3), pages 15-29, Springer Berlin / Heidelberg, Lecture Notes in Computer Science 5851, 2009.


Abstract

The rapid evolution of real-time multimedia applications requires Quality of Service (QoS) based multicast routing in underlying computer networks. The constrained Steiner Tree, as the underpinning mathematical structure, is a well-known NP-complete problem. In this paper we investigate a variable neighborhood descent (VND) search, a variant of variable neighborhood search, for the delay-constrained least-cost (DCLC) multicast routing problem. The neighborhood structures designed in the VND approaches are based on the idea of path replacement in trees. They are simple, yet effective operators, enabling a flexible search over the solution space of this complex problem with multiple constraints. A large number of simulations demonstrate that our algorithm is highly efficient in solving the DCLC multicast routing problem in terms of the tree cost and execution time. To our knowledge, this is the first study of VND algorithm on the DCLC multicast routing problem. It outperforms other existing algorithms over a range of problem instances.


pdf

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doi

The doi for this publication is 10.1007/978-3-642-11169-3_2 You can link directly to the original paper, via the doi, from here

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Bibtex

@INPROCEEDINGS{qxk2009, author = {R. Qu and Y. Xu and G. Kendall},
title = {A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing},
booktitle = {Proceedings of Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics (LION 3)},
year = {2009},
editor = {T. St\"{u}tzle},
volume = {5851},
series = {Lecture Notes in Computer Science},
pages = {15--29},
month = {January},
organization = {Trento, Italy},
publisher = {Springer Berlin / Heidelberg},
abstract = {The rapid evolution of real-time multimedia applications requires Quality of Service (QoS) based multicast routing in underlying computer networks. The constrained Steiner Tree, as the underpinning mathematical structure, is a well-known NP-complete problem. In this paper we investigate a variable neighborhood descent (VND) search, a variant of variable neighborhood search, for the delay-constrained least-cost (DCLC) multicast routing problem. The neighborhood structures designed in the VND approaches are based on the idea of path replacement in trees. They are simple, yet effective operators, enabling a flexible search over the solution space of this complex problem with multiple constraints. A large number of simulations demonstrate that our algorithm is highly efficient in solving the DCLC multicast routing problem in terms of the tree cost and execution time. To our knowledge, this is the first study of VND algorithm on the DCLC multicast routing problem. It outperforms other existing algorithms over a range of problem instances.},
doi = {10.1007/978-3-642-11169-3_2},
keywords = {multimedia, quality of service, variable neighborhood descent, heuristics, meta-heuristics},
owner = {est},
timestamp = {2010.03.18},
webpdf = {http://www.graham-kendall.com/papers/qxk2009.pdf} }