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

Help solve Santa's logistics problems
http://bit.ly/1DXreuW
I have published some papers on timetabling.
http://bit.ly/hSGAhZ

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Tracking Paper Downloads for MISTA

Publication(s)

The Effects of Extra-Somatic Weapons on the Evolution of Human Cooperation towards Non-Kin
http://bit.ly/1oXDe7O
A task based approach for a real-world commodity routing problem
http://bit.ly/1mlrzCS
Academic Timetabling: Linking Research and Practice
http://bit.ly/eroN3m
A local search approach to a circle cutting problem arising in the motor cycle industry
http://bit.ly/dJxzGW

Graham Kendall: Details of Requested Publication


Citation

Burke, E.K; Gendreau, M; Hyde, M; Kendall, G; McCollum, B; Ochoa, G; Parkes, A and Petrovic, S The Cross-domain Heuristic Search Challenge - An International Research Competition. In Proceedings of Learning and Intelligent Optmization (LION5), pages 631-634, Lecture Notes in Computer Science 6683, 2011.


Abstract

The first Cross-domain Heuristic Search Challenge (CHeSC 2011) seeks to bring together practitioners from operational research, computer science and arti cial intelligence who are interested in developing more generally applicable search methodologies. The challenge is to design a search algorithm that works well, not only across different instances of the same problem, but also across di erent problem domains. This article overviews the main features of this challenge.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/978-3-642-25566-3_49 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://www.springer.com/computer/theoretical+computer+science/book/978-3-642-25565-6

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{bghkmopp2011, author = {E.K. Burke and M. Gendreau and M. Hyde and G. Kendall and B. McCollum and G. Ochoa and A. Parkes and S. Petrovic},
title = {The Cross-domain Heuristic Search Challenge - An International Research Competition},
booktitle = {Proceedings of Learning and Intelligent Optmization (LION5)},
year = {2011},
editor = {X. Yao and C. A. C. Coello},
volume = {6683},
series = {Lecture Notes in Computer Science},
pages = {631--634},
month = {Jan 17-21, 2011, Rome, Italy},
abstract = {The first Cross-domain Heuristic Search Challenge (CHeSC 2011) seeks to bring together practitioners from operational research, computer science and arti cial intelligence who are interested in developing more generally applicable search methodologies. The challenge is to design a search algorithm that works well, not only across different instances of the same problem, but also across di erent problem domains. This article overviews the main features of this challenge.},
doi = {10.1007/978-3-642-25566-3_49},
keywords = {hyper-heuristics, hyperheuristics, competition, meta-heuristics, metaheuristics},
owner = {gxk},
timestamp = {2010.12.09},
url = {http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-25565-6},
webpdf = {http://www.graham-kendall.com/papers/bghkmopp2011.pdf} }