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

How are university examinations scheduled?
http://bit.ly/1z0pG4s
How are football fixtures worked out?
http://bit.ly/1z0oTAH

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

Should the contribution of a publication consultant be acknowledged?

Publication(s)

Regulators as agents: Modelling personality and power as evidence is brokered to support decisions on environmental risk
http://bit.ly/1bh6em7
The examination timetabling problem at Universiti Malaysia Pahang: Comparison of a constructive heuristic with an existing software solution
http://bit.ly/fqDS68
Applying Simulated Annealing and the No Fit Polygon to the Nesting Problem
http://bit.ly/ikrub2
A Squeaky Wheel Optimisation Methodology for Two Dimensional Strip Packing
http://bit.ly/ibMskY

Graham Kendall: Details of Requested Publication


Citation

Burke, E. K; Curtois, T; Kendall, G; Hyde, M; Ochoa, G; Vazquez-Rodriguez, J.A and Petrovic, S Towards the 'Decathlon 'Challenge' of search heuristics. In Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference (GECCO 2009): Late Breaking Papers, pages 2205-2208, Montreal, Canada. 8-12 July, 2009.

Please note that this paper appeared in the Late Breaking Papers proceedings


Abstract

We present an object oriented framework for designing and evaluating heuristic search algorithms that achieve a high level of generality and work well on a wide range of combinatorial optimization problems. Our framework, named HyFlex, differs from most software tools for meta-heuristics and evolutionary computation in that it provides the algorithm components that are problem-specific instead of those which are problem-independent. In this way, we simultaneously liberate algorithm designers from needing to know the details of the problem domains; and prevent them from incorporating additional problem specific information in their algorithms. The efforts need instead to be focused on designing high-level strategies to intelligently combine the provided problem specific algorithmic components. We plan to propose a challenge, based on our framework, where the winners will be those algorithms with a better overall performance across all of the different domains. Using an Olympic metaphor, we are not solely focussed on the 100 meters race, but instead on the decathlon of modern search methodologies.


pdf

There is no pdf available for this paper. You might like to try to obtain the original source (see the doi, for example)


doi

The doi for this publication is 10.1145/1570256.1570303 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{bckhov2009, author = {E. K. Burke and T. Curtois and G. Kendall and M. Hyde and G. Ochoa and J.A. Vazquez-Rodriguez and S. Petrovic},
title = {Towards the 'Decathlon 'Challenge' of search heuristics},
booktitle = {Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference (GECCO 2009): Late Breaking Papers},
year = {2009},
pages = {2205--2208},
address = {Montreal, Canada. 8-12 July},
note = {Please note that this paper appeared in the Late Breaking Papers proceedings},
abstract = {We present an object oriented framework for designing and evaluating heuristic search algorithms that achieve a high level of generality and work well on a wide range of combinatorial optimization problems. Our framework, named HyFlex, differs from most software tools for meta-heuristics and evolutionary computation in that it provides the algorithm components that are problem-specific instead of those which are problem-independent. In this way, we simultaneously liberate algorithm designers from needing to know the details of the problem domains; and prevent them from incorporating additional problem specific information in their algorithms. The efforts need instead to be focused on designing high-level strategies to intelligently combine the provided problem specific algorithmic components. We plan to propose a challenge, based on our framework, where the winners will be those algorithms with a better overall performance across all of the different domains. Using an Olympic metaphor, we are not solely focussed on the 100 meters race, but instead on the decathlon of modern search methodologies.},
doi = {10.1145/1570256.1570303},
keywords = {hyperheuristics, hyper-heuristic, competition, meta-heuristics, metaheuristics, heuristics, flow shop problem, bin packing, personnel scheduling, rostering, boolean satisfiability},
owner = {gxk},
timestamp = {2011.01.16} }