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 university examinations scheduled?
http://bit.ly/1z0pG4s

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

PATAT 2010: Multi-objective Sports (Football) Scheduling

Publication(s)

Optimising risk reduction: An expected utility approach for marginal risk reduction during regulatory decision making
http://bit.ly/gBihFm
An Evolutionary Methodology for the Automated Design of Cellular Automaton-based Complex Systems
http://bit.ly/hlJNZh
An Exponential Monte-Carlo Local Search Algorithm for the Berth Allocation Problem
http://bit.ly/1tLKIMh
A New Placement Heuristic for the Orthogonal Stock-Cutting Problem
http://bit.ly/gJdaAs

Graham Kendall: Book Chapters

These are the book chapters I have written. You can extract the various categories using the menu on the left.

Book Chapters

2014

  1. Burke, E.K and Kendall, G Chapter 1: Introduction. In Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, 2nd ed., pages 1-17, Springer, 2014.

    This is the introductory chapter that we wrote for this book

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  2. 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)

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  3. Sastry, K; Goldberg, D and Kendall, G Chapter 4: Genetic Algorithms. In Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, pages 93-117, Springer, 2014.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2013

  1. Kendall, G; McCollum, B; Cruz, F; McMullan, P and While, L Scheduling English Football Fixtures: Consideration of Two Conflicting Objectives. In Hybrid Metaheuristics, pages 369-385, Springer, Studies in Computational Intelligence 434, 2013.

    This book chapter is part of the book Hybrid Metaheuristics

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  2. Kendall, G and Westphal, S Sports Scheduling: Minimizing Travel for English Football Supporters. In Autoomated Scheduling and Planning: Studies in Computational Intelligence, pages 61-90, Springer Berlin Heidelberg, 2013.

    This book chapter is part of the book Automated Scheduling and Planning

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2012

  1. Congdon, C. B.; Hingston, P and Kendall, G Artificial and Computational Intelligence for Games on Mobile Platforms. In Artificial and Computational Intelligence in Games: A Follow-up to Dagstuhl Seminar 12191, pages 101-108, 2012.

    This was a follow up publication to a Dagstuhl seminar

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  2. Levine, J; Congdon, C. B.; Ebner, M; Kendall, G; Lucas, S.M.; Miikkulainen, R; Schaul, T and Thompson, T General Video Game Playing. In Artificial and Computational Intelligence in Games: A Follow-up to Dagstuhl Seminar 12191, pages 77-83, 2012.

    This was a follow up publication to a Dagstuhl seminar

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  3. Munoz-Avila, H; Bauckhage, C; Bida, M; Congdon, C. B. and Kendall, G Learning and Game AI. In Artificial and Computational Intelligence in Games: A Follow-up to Dagstuhl Seminar 12191, pages 33-43, 2012.

    This was a follow up publication to a Dagstuhl seminar

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2011

  1. Kendall, G and Burke, E.K Hyper-heuristics. In Wiley Encyclopedia of Operations Research and Management Science, Wiley, 2011.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2010

  1. Burke, E.K; Hyde, M; Kendall, G; Ochoa, G; Ozcan, E and Woodward, J. R A Classification of Hyper-heuristic Approaches. In Handbook of Meta-Heuristics, pages 449-468, Kluwer, 2010.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2009

  1. Burke, E. K; Hyde, M; Kendall, G; Ochoa, G; Özcan, E and Woodward, J. R Exploring hyper-heuristic methodologies with genetic programming. In Computational Intelligence: Collaboration, Fusion and Emergence, pages 177-201, Springer, Intelligent Systems Reference Library 1, 2009.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2007

  1. Chong, S. Y; Humble, J; Kendall, G; Li, J and Yao, X Chapter 1: The Iterated Prisoners' Dilemma: 20 Years On. In The iterated prisoner's dilemma: 20 years on, pages 1-21, World Scientific, Singapore, Advances in Natural Computation 4, 2007.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  2. Chong, S. Y; Humble, J; Kendall, G; Li, J and Yao, X Chapter 2: Iterated prisoner's dilemma and evolutionary game theory. In The Iterated Prisoners' Dilemma: 20 Years On, pages 23-62, World Scientific, Singapore, Advances in Natural Computation 4, 2007.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  3. Chong, S. Y; Humble, J; Kendall, G; Li, J and Yao, X Chapter 3: Learning IPD Strategies through Coevolution. In The Iterated Prisoners' Dilemma: 20 Years On, pages 63-87, World Scientific, Singapore, Advances in Natural Computation 4, 2007.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  4. Hingston, P; Dyer, D; Barone, L; French, T and Kendall, G Chapter 7: Opponent Modelling, Evolution, and the Iterated Prisoner's Dilemma. In The Iterated Prisoners' Dilemma: 20 Years On, pages 139-170, World Scientific, Singapore, Advances in Natural Computation 4, 2007.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2005

  1. Bai, R and Kendall, G Chapter 4: An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic. In Metaheuristics: Progress as Real Problem Solvers (Operations Research/Computer Science Interfaces Series, Volume 32, Part III), pages 87-108, Springer, 2005.

    A previous version of this paper was published in the 2003 Metaheuristics International Conference (MIC) proceedings

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  2. Bian, F; Burke, E.K; Jain, S; Kendall, G; Koole, G.M; Silva, J.D. L.; Mulder, J; Paelinck, M.C.E; Reeves, C; Rusdi, I and Suleman, M.O Measuring the Robustness of Airline Fleet Schedules. In Selected papers from the 1st International Conference on Multidisciplinary Scheduling: Theory and Applications, pages 381-392, Springer, 2005.

    A previous version of this paper was presented at the MISTA 2003 conference

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  3. Burke, E.K and Kendall, G Chapter 1: Introduction. In Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, pages 5-18, Springer, 2005.

    This is the introductory chapter that we wrote for this book

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  4. Kendall, G and Hussin, N. An Investigation of a Tabu Search Based Hyper-Heuristic for Examination Timetabling. In Selected papers the 1st International Conference on Multidisciplinary Scheduling: Theory and Applications, pages 309-328, Springer, 2005.

    An extended abstract of this paper appeared in the Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003) pp 226-233

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

  5. Sastry, K; Goldberg, D and Kendall, G Chapter 4: Genetic Algorithms. In Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, pages 97-125, Springer, 2005.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here

2003

  1. Burke, E.K; Hart, E; Kendall, G; Newall, J; Ross, P and Schulenburg, S Hyper-Heuristics: An Emerging Direction in Modern Search Technology. In Handbook of Meta-Heuristics, pages 457-474, Kluwer, 2003.

    More details for this paper (incl. download information, abstract, bibtex, journal ranking (if applicable) etc.) is available here