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

Help solve Santa's logistics problems
http://bit.ly/1DXreuW
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

Tracking Paper Downloads: Database

Publication(s)

Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization
http://bit.ly/1a2YEuE
Providing a memory mechanism to enhance the evolutionary design of heuristics
http://bit.ly/fd4uYt
Evolutionary Computation in the Real World: Successes and Challenges
http://bit.ly/1tT0uEY
Finite iterated prisoner's dilemma revisited: belief change and end-game effect
http://bit.ly/hathrT

Graham Kendall

Papers in Journal of the Operational Research Society (ISSN: 0160-5682)

Articles

2016

  1. Kendall, G.; Bai, R.; Blazewicz, J.; Causmaecker, P. De; Gendreau, M. et al. Good Laboratory Practice for optimization research. In Journal of the Operational Research Society, 67 (4): 676-689, 2016. pdf  Abstract BibTeX

2015

  1. Kahar, M.N. M. and Kendall, G. A great deluge algorithm for a real-world examination timetabling problem. In Journal of the Operational Research Society, 66 (1): 116-133, 2015. pdf  Abstract BibTeX

2014

  1. Bai, R.; Li, J.; Atkin, J.A.D. and Kendall, G. A novel approach to independent taxi scheduling problem based on stable matching. In Journal of the Operational Research Society, 65 (10): 1501-1510, 2014. pdf  Abstract BibTeX
  2. Kahar, M.N. M. and Kendall, G. Universiti Malaysia Pahang examination timetabling problem: scheduling invigilators. In Journal of the Operational Research Society, 65 (2): 214-226, 2014. pdf  Abstract BibTeX
  3. Xing, H.; Qu, R.; Kendall, G. and Bai, R. A path-oriented encoding evolutionary algorithm for network coding resource minimization. In Journal of the Operational Research Society, 65 (8): 1261-1277, 2014. pdf  Abstract BibTeX

2013

  1. Burke, E. K.; Gendreau, M.; Hyde, M.; Kendall, G.; Ochoa, G. et al. Hyper-heuristics: a survey of the state of the art. In Journal of the Operational Research Society, 64 (12): 1695-1724, 2013. pdf  Abstract BibTeX
  2. Hyde, M. H.; Burke, E. K. and Kendall, G. Automated code generation by local search. In Journal of the Operational Research Society, 64 (12): 1725-1741, 2013. pdf  Abstract BibTeX
  3. Kendall, G. and Li, J. Competitive travelling salesmen problem: A hyper-heuristic approach. In Journal of the Operational Research Society, 64 (2): 208-216, 2013. pdf  Abstract BibTeX

2008

  1. Bai, R.; Burke, E. K. and Kendall, G. Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation. In Journal of the Operational Research Society, 59 (10): 1387-1397, 2008. pdf  Abstract BibTeX
  2. Kendall, G. Scheduling English football fixtures over holiday periods. In Journal of the Operational Research Society, 59 (6): 743-755, 2008. pdf  Abstract BibTeX

2007

  1. Dowsland, K.A.; Gilbert, M. and Kendall, G. A local search approach to a circle cutting problem arising in the motor cycle industry. In Journal of the Operational Research Society, 58 (4): 429-438, 2007. pdf  Abstract BibTeX