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

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

The science that makes us spend more in supermarkets, and feel good while we do it

Publication(s)

A Hybrid Evolutionary Approach to the Nurse Rostering Problem
http://bit.ly/ey147Y
Using an Evolutionary Algorithm for the Tuning of a Chess Evaluation Function Based on a Dynamic Boundary Strategy
http://bit.ly/hsgyZ8
A local search approach to a circle cutting problem arising in the motor cycle industry
http://bit.ly/dJxzGW
A New Placement Heuristic for the Orthogonal Stock-Cutting Problem
http://bit.ly/gJdaAs

Graham Kendall: Details of Requested Publication


Citation

Burke, E.K and Kendall, G Applying Simulated Annealing and the No Fit Polygon to the Nesting Problem. In Proceedings of the World Manufacturing Congress (WMC '99), pages 70-76, ICSC Academic Press, 27-30 September 1999, Durham, UK, 1999.


Abstract

This paper presents a new method to pack convex polygons into bins (the nesting problem). To do this polygons are placed in rows within bins using a meta-heuristic algorithm (simulated annealing) and by utilising the No Fit Polygon. We show that simulated annealing out performs hill climbing. The nesting algorithm is described in detail, along with various aspects that have been incorporated in order to improve the efficiency of the algorithm whilst maintaining solution quality. Computational results are given


pdf

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Bibtex

@INPROCEEDINGS{bk1999c, author = {E.K. Burke and G. Kendall},
title = {Applying Simulated Annealing and the No Fit Polygon to the Nesting Problem},
booktitle = {Proceedings of the World Manufacturing Congress (WMC '99)},
year = {1999},
pages = {70--76},
address = {27-30 September 1999, Durham, UK},
publisher = {ICSC Academic Press},
abstract = {This paper presents a new method to pack convex polygons into bins (the nesting problem). To do this polygons are placed in rows within bins using a meta-heuristic algorithm (simulated annealing) and by utilising the No Fit Polygon. We show that simulated annealing out performs hill climbing. The nesting algorithm is described in detail, along with various aspects that have been incorporated in order to improve the efficiency of the algorithm whilst maintaining solution quality. Computational results are given},
comment = {ISBN 3-906454-19-3},
keywords = {packing, nesting, no fit polygon, NFP, simulated annealing},
timestamp = {2007.03.29},
webpdf = {http://www.graham-kendall.com/papers/bk1999c.pdf} }