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 blog occasionally, feel free to take a look.
http://bit.ly/hq6rMK
How to teach Deep Blue to play poker and deliver groceries
http://bit.ly/1DXGeZD

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

The unintended conseuqences of sports rules: Olympic examples sought

Publication(s)

Academic Timetabling: Linking Research and Practice
http://bit.ly/eroN3m
Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization
http://bit.ly/1a2YEuE
Evidence and belief in regulatory decisions Incorporating expected utility into decision modelling
http://bit.ly/1iaJTKT
Choice Function and Random HyperHeuristics
http://bit.ly/e7QYog

Graham Kendall: Details of Requested Publication


Citation

Swan, J; Woodward, J; Özcan, E; Kendall, G and Burke, E Searching the Hyper-heuristic Design Space. Cognitive Computation, 6 (1): 66-73, 2014.

ISSN: 1866-9956


Abstract

We extend a previous mathematical formulation of hyper-heuristics to reflect the emerging generalization of the concept. We show that this leads naturally to a recursive definition of hyper-heuristics and to a division of responsibility that is suggestive of a blackboard architecture, in which individual heuristics annotate a shared workspace with information that may also be exploited by other heuristics. Such a framework invites consideration of the kind of relaxations of the domain barrier that can be achieved without loss of generality. We give a concrete example of this architecture with an application to the 3-SAT domain that significantly improves on a related token-ring hyper-heuristic.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/s12559-013-9201-8 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


Journal Rankings


ISI Web of Knowledge Journal Citation Reports

The Web of Knowledge Journal Citation Reports (often known as ISI Impact Factors) help measure how often an article is cited. You can get an introduction to Journal Citation Reports here. Below I have provided the ISI impact factor for the jourrnal in which this article was published. For complete information I have shown the ISI ranking over a number of years, with the latest ranking highlighted.

2014 (1.440), 2013 (1.100), 2012 (0.867), 2011 (1.000)

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

@ARTICLE{swokb2014, author = {J. Swan and J. Woodward and E. \"{O}zcan and G. Kendall and E. Burke},
title = {Searching the Hyper-heuristic Design Space},
journal = {Cognitive Computation},
year = {2014},
volume = {6},
pages = {66--73},
number = {1},
note = {ISSN: 1866-9956},
abstract = {We extend a previous mathematical formulation of hyper-heuristics to reflect the emerging generalization of the concept. We show that this leads naturally to a recursive definition of hyper-heuristics and to a division of responsibility that is suggestive of a blackboard architecture, in which individual heuristics annotate a shared workspace with information that may also be exploited by other heuristics. Such a framework invites consideration of the kind of relaxations of the domain barrier that can be achieved without loss of generality. We give a concrete example of this architecture with an application to the 3-SAT domain that significantly improves on a related token-ring hyper-heuristic.},
doi = {10.1007/s12559-013-9201-8},
issn = {1866-9956},
owner = {Graham},
timestamp = {2013.08.02},
webpdf = {http://www.graham-kendall.com/papers/swokb2014.pdf} }