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 university examinations scheduled?
http://bit.ly/1z0pG4s
I have wriiten a number of articles for TheConversation
http://bit.ly/1yWlOkE

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Time to switch to Java for a football prediction project

Publication(s)

Tabu Search Hyper-Heuristic Approach to the Examination Timetabling Problem at University Technology MARA
http://bit.ly/fOXpLD
The examination timetabling problem at Universiti Malaysia Pahang: Comparison of a constructive heuristic with an existing software solution
http://bit.ly/fqDS68
Automated code generation by local search
http://bit.ly/1dAz69a
Chapter 4: An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic
http://bit.ly/1cJv7H4

Graham Kendall: Details of Requested Publication


Citation

Kendall, G and Spoerer, K Scripting the Game of Lemmings with a Genetic Algorithm. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC'04), pages 117-124, Portland, Oregon, 2004.


Abstract

The game of Lemmings has been offered as a new Drosophila for AI research. Yet the authors have no knowledge of any efforts to create a computer player for Lemmings. This paper presents a scaled down version of Lemmings and offers an evolutionary approach to solving maps. Scripts are evolved using a genetic algorithm. Results show that this approach is able to solve increasingly complex maps.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1109/CEC.2004.1330846 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

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

@INPROCEEDINGS{ks2004a, author = {G. Kendall and K. Spoerer},
title = {Scripting the Game of Lemmings with a Genetic Algorithm},
booktitle = {Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC'04)},
year = {2004},
pages = {117--124},
address = {Portland, Oregon},
month = {20-23 June},
abstract = {The game of Lemmings has been offered as a new Drosophila for AI research. Yet the authors have no knowledge of any efforts to create a computer player for Lemmings. This paper presents a scaled down version of Lemmings and offers an evolutionary approach to solving maps. Scripts are evolved using a genetic algorithm. Results show that this approach is able to solve increasingly complex maps.},
doi = {10.1109/CEC.2004.1330846},
keywords = {games. lemmings, evolution, artificial intelligence, genetic algorithm},
timestamp = {2007.03.29},
webpdf = {http://www.graham-kendall.com/papers/ks2004a.pdf} }