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 have published some papers on timetabling.
http://bit.ly/hSGAhZ
How are football fixtures worked out?
http://bit.ly/1z0oTAH

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

MISTA Conference

Publication(s)

The Application of a Dendritic Cell Algorithm to a Robotic Classifier
http://bit.ly/hTMQ5K
A Strategy with Novel Evolutionary Features for the Iterated Prisoner's Dilemma
http://bit.ly/eURggX
A honey-bee mating optimization algorithm for educational timetabling problems
http://bit.ly/1dhSqnm
A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization
http://bit.ly/1wqQplE

Graham Kendall: Details of Requested Publication


Citation

Cowling, P; Kendall, G and Soubeiga, E Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation. In Applications of Evolutionary Computing : Proceedings of Evo Workshops 2002, pages 269-287, Springer-Verlag, Kinsale, Ireland, 3-4 April, Lecture Notes in Computer Science 2279, 2002.

The DOI link gives the page numbers as 269-287, the PDF show the page numbers as 1-10. We assume the DOI citation is correct (i.e. pages 269-287)


Abstract

The term hyperheuristic was introduced by the authors as a high-level heuristic that adaptively controls several low-level knowledge poor heuristics so that while using only cheap, easy-to-implement low-level heuristics, we may achieve solution quality approaching that of an expensive knowledge-rich approach. For certain classes of problems, this allows us to rapidly produce effective solutions, in a fraction of the time needed for other approaches, and using a level of expertise common among non-academic IT professionals. Hyperheuristics have been successfully applied by the authors to a real-world problem of personnel scheduling. In this paper, the authors report another successful application of hyperheuristics to a rather different real-world problem of personnel scheduling occuring at a UK academic institution. Not only did the hyperheuristics produce results of a quality much superior to that of a manual solution but also these results were produced within a period of only three weeks due to the savings resulting from using the existing hyperheuristic software framework.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/3-540-46004-7_1 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

The URL for additional information is http://dx.doi.org/10.1007/3-540-46004-7

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{cks2002a, author = {P. Cowling and G. Kendall and E. Soubeiga},
title = {Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation},
booktitle = {Applications of Evolutionary Computing : Proceedings of Evo Workshops 2002},
year = {2002},
editor = {S. Cagnoni and J. Gottlieb and E. Hart and M. Middendorf and G.R. Raidl},
volume = {2279},
series = {Lecture Notes in Computer Science},
pages = {269--287},
address = {Kinsale, Ireland, 3-4 April},
publisher = {Springer-Verlag},
note = {The DOI link gives the page numbers as 269-287, the PDF show the page numbers as 1-10. We assume the DOI citation is correct (i.e. pages 269-287)},
abstract = {The term hyperheuristic was introduced by the authors as a high-level heuristic that adaptively controls several low-level knowledge poor heuristics so that while using only cheap, easy-to-implement low-level heuristics, we may achieve solution quality approaching that of an expensive knowledge-rich approach. For certain classes of problems, this allows us to rapidly produce effective solutions, in a fraction of the time needed for other approaches, and using a level of expertise common among non-academic IT professionals. Hyperheuristics have been successfully applied by the authors to a real-world problem of personnel scheduling. In this paper, the authors report another successful application of hyperheuristics to a rather different real-world problem of personnel scheduling occuring at a UK academic institution. Not only did the hyperheuristics produce results of a quality much superior to that of a manual solution but also these results were produced within a period of only three weeks due to the savings resulting from using the existing hyperheuristic software framework.},
doi = {10.1007/3-540-46004-7_1},
keywords = {hyper-heuristics, hyperheuristics, personnel scheduling, prototyping},
owner = {gxk},
timestamp = {2011.01.16},
url = {http://dx.doi.org/10.1007/3-540-46004-7},
webpdf = {http://www.graham-kendall.com/papers/cks2002a.pdf} }