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 have published a number of papers on Cutting and Packing
http://bit.ly/dQPw7T
I have published a few papers on Sports Scheduling.
http://bit.ly/gVaUqT

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Football Prediction: Follow up

Publication(s)

A Genetic Programming Hyper-Heuristic Approach for Evolving 2-D Strip Packing Heuristics
http://bit.ly/grTvxk
Evolving Tiles for Automated Self-Assembly Design
http://bit.ly/dInbHL
A scheme for determining vehicle routes based on Arc-based service network design
http://bit.ly/2iaUTxA
Collective Behavior and Kin Selection in Evolutionary IPD
http://bit.ly/if34nF

Graham Kendall: Details of Requested Publication


Citation

Kendall, G Evolutionary Computation in the Real World: Successes and Challenges. In Knowledge and Systems Engineering: Advances in Intelligent Systems and Computing, Volume 245, pages 5-5, Springer, 2014.

This paper is an abstract of an invited talk I gave at the Fifth International Conference KSE (Knowledge and Systems Engineering) 2013. It forms a one page chapter in Knowledge and Systems Engineering: Advances in Intelligent Systems and Computing, Volume 245 (see here)


Abstract

Evolutionary Computation has the potential to address many problems which may seem intractable to some of the methodologies that are available today. After briefly describing what evolutionary computation is (and what it is not), I will outline some of the success stories before moving onto the challenges we face in having these algorithms adopted by the industrial community at large.Some of the areas I will draw upon include Checkers and Chess, Scheduling and Timetabling, Hyper-heuristics and Meta-heuristics, as well some other problems drawn from the Operational Research literature.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/978-3-319-02821-7_2 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

@INBOOK{k2014, chapter = {Knowledge and Systems Engineering: Advances in Intelligent Systems and Computing, Volume 245},
pages = {5--5},
title = {Evolutionary Computation in the Real World: Successes and Challenges},
publisher = {Springer},
year = {2014},
editor = {V. N. Nuynh and T. Denoeux and D. H. Tran and A. C. Le and S. B. Pham},
author = {G. Kendall},
note = {This paper is an abstract of an invited talk I gave at the Fifth International Conference KSE (Knowledge and Systems Engineering) 2013. It forms a one page chapter in Knowledge and Systems Engineering: Advances in Intelligent Systems and Computing, Volume 245 (see here)},
abstract = {Evolutionary Computation has the potential to address many problems which may seem intractable to some of the methodologies that are available today. After briefly describing what evolutionary computation is (and what it is not), I will outline some of the success stories before moving onto the challenges we face in having these algorithms adopted by the industrial community at large.Some of the areas I will draw upon include Checkers and Chess, Scheduling and Timetabling, Hyper-heuristics and Meta-heuristics, as well some other problems drawn from the Operational Research literature.},
booktitle = {Meta-heuristics: Progress as Real Problem Solvers, Selected Papers from the 5th Metaheuristics International Conference (MIC 2003)},
comment = {ISBN978-3-319-02820-0},
doi = {10.1007/978-3-319-02821-7_2},
keywords = {shelf packing, planograms, simulated annealing, heuristics, hyper-heuristics, hyperheuristics},
owner = {Graham},
timestamp = {2007.03.29},
webpdf = {http://www.graham-kendall.com/papers/k2014.pdf} }