Graham Kendall
Various Images

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 am the chair of the MISTA (Multidisciplinary International Conference on Scheduling: Theory and Applications)
http://bit.ly/hvZIaN
I blog occasionally, feel free to take a look.
http://bit.ly/hq6rMK

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

What is Operations Research?

Publication(s)

A Hyperheuristic Approach to Scheduling a Sales Summit
http://bit.ly/f5PRaP
A local search approach to a circle cutting problem arising in the motor cycle industry
http://bit.ly/dJxzGW
A Tabu Search Approach for Graph-Structured Case Retrieval
http://bit.ly/hLtUDZ
Chapter 7: Opponent Modelling, Evolution, and the Iterated Prisoner's Dilemma
http://bit.ly/1eJzj8n

Graham Kendall: Details of Requested Publication


Citation

Kendall, G; Binner, J and Gazely., A.M Evolutionary Strategies - A New Macroeconomic Policy Tool?. In Proceedings of the IFAC Symposium on Modeling and Control of Economic Systems (SME 2001), pages 377-382, Elsevier, 6-8 September 2001, Klagenfurt, Austria, 2001.


Abstract

Previous work has used neural networks to predict the rate of inflation in Taiwan using four measures of ‘money’ (simple sum and three Divisia measures). In this work a new approach is developed that uses an evolutionary strategy as a predictive tool. This approach is simple to implement yet produces results that compare favourably with the neural network predictions. Our preferred inflation forecasting model is achieved using networks that employ a Divisia M2 measure of money, adjusted to incorporate a learning mechanism to allow individuals to alter their perceptions of the increased productivity of money. We conclude with a discussion of the promise of evolutionary strategies as a new forecasting tool in the macroeconomic policy arena


pdf

You can download the pdf of this publication from here


doi

This publication does not have a doi, so we cannot provide a link to the original source

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://books.google.co.uk/books?id=tAI0lmF3tAwC&printsec=frontcover&dq=0-08-043858-X&hl=en&ei=N29CTdTlF4mShAfsoOCdAg&sa=X&oi=book_result&ct=result&resnum=1&ved=0CCwQ6AEwAA#v=onepage&q=0-08-043858-X&f=false

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{kbg2001, author = {G. Kendall and J. Binner and A.M. Gazely.},
title = {Evolutionary Strategies - A New Macroeconomic Policy Tool?},
booktitle = {Proceedings of the IFAC Symposium on Modeling and Control of Economic Systems (SME 2001)},
year = {2001},
editor = {R. Neck},
pages = {377--382},
address = {6-8 September 2001, Klagenfurt, Austria},
publisher = {Elsevier},
abstract = {Previous work has used neural networks to predict the rate of inflation in Taiwan using four measures of ‘money’ (simple sum and three Divisia measures). In this work a new approach is developed that uses an evolutionary strategy as a predictive tool. This approach is simple to implement yet produces results that compare favourably with the neural network predictions. Our preferred inflation forecasting model is achieved using networks that employ a Divisia M2 measure of money, adjusted to incorporate a learning mechanism to allow individuals to alter their perceptions of the increased productivity of money. We conclude with a discussion of the promise of evolutionary strategies as a new forecasting tool in the macroeconomic policy arena},
comment = {ISBN: 0-08-043858-X (Proceedings for IFAC Symposium on Modeling and Control of Economic Systems SME 2001 in Klagenfurt, Austria, September 6-8, 2001)},
keywords = {Divisia, Forecasting, Neural Networks, Artificial neural networks, prediction},
timestamp = {2007.03.29},
url = {http://books.google.co.uk/books?id=tAI0lmF3tAwC&printsec=frontcover&dq=0-08-043858-X&hl=en&ei=N29CTdTlF4mShAfsoOCdAg&sa=X&oi=book_result&ct=result&resnum=1&ved=0CCwQ6AEwAA#v=onepage&q=0-08-043858-X&f=false},
webpdf = {http://www.graham-kendall.com/papers/kbg2001.pdf} }