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Graham Kendall

Vice-Provost (Research and Knowledge Transfer), Faculty of Science

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Biography

Professor Graham Kendall is a member of the Automated, Scheduling, Optimisation and Planning Group in the School ofComputer Science & IT at the University of Nottingham. Prior to his academic career, he spent over 15 years in the IT industry where he managed over 50 people and was responsible for a variety of small, medium and large scale IT projects.

He is a member of the EPSRC Peer Review College(2003-2008) and is an associate editor of the International Journal of Systems Science and INFOR, the journal of the Canadian Operational Research Society. He is a member of the editorial board of Intelligent Systems in Accounting Finance and Management and Cognitive Neurodynamics.

Professor Kendall is the principal investigator on 4 currently active EPSRC awards and is co-investigator on 9 other currently active awards. In total, he has attracted over £5M in external funding. This includes an EPSRC PLATFORM award (GR/S70197/01, £423K) and a recent responsive mode award (EP/D061571/1,£2.6M).

Professor Kendall has published over 75 refereed papers in international journals andconferences, and 5 book chapters. He is also the editor of 8 books. He has chaired 6 international conferences, which includes establishing the MISTA (Multidisciplinary International Conference onScheduling : Theory and Applications) series of conferences, which have been run in Nottingham (2003), New York (2005) and Paris(2007); all chaired by Professor Kendall. He has served on over 80 programme/technical committees since 2000. He currently supervises 9 PhD students and has supervised 8 PhD students to completion.

(Last Updated: 7th March 2007)

Expertise Summary

Professor Kendall has expertise in heuristics, meta-heuristics, hyper-heuristics, evolutionary computation, artificial intelligence and operational research. He is interested in solving real world problems that have not been simplified just to make them easier to tackle. He has a particular interest in sports scheduling and has published papers on scheduling football fixtures for the English Football Leagues. (Last Updated: 20th Nov 2011)

Research Summary

Professor Kendall has expertise in heuristics, meta-heuristics, hyper-heuristics, evolutionarycomputation, artificial intelligence and operational research.He is interested in solving real world… read more

Selected Publications

Current Research

Professor Kendall has expertise in heuristics, meta-heuristics, hyper-heuristics, evolutionarycomputation, artificial intelligence and operational research.He is interested in solving real world problems that have not been simplified just to make them easier to tackle.Hehas a particular interest in sports scheduling and has published paperson scheduling football fixtures for the English Football Leagues.(Last Updated: 7th March 2007)

Past Research

would welcome any discussions on the general areas I have outlined in my "Current Research" interests.

Future Research

I would welcome any discussions on the general areas I have outlined in my "Current Research" interests.

  • EDMUND K. BURKE, MATTHEW R. HYDE, GRAHAM KENDALL and JOHN WOODWARD, 2012. Automating the Packing Heuristic Design Process with Genetic Programming Evolutionary Computation. 20(1), 63-89
  • J. LI, G.D. DAVIES, G. KENDALL, E. SOANE, R. BAI AND S.A. ROCKS, S.A. ROCKS, R. BAI and S.J.T. POLLARD, 2012. Evidence and belief in regulatory decisions - Incorporating expected utility into decision modelling Expert Systems with Applications. 39(10), 8604-8610
  • J. SWAN, G. OCHOA, G. KENDALL and M. EDJVET, 2012. Fitness Landscapes and the Andrews-Curtis Conjecture International Journal of Algebra and Computation. 22(2),
  • BAI R, KENDALL G, QU R and ATKIN J, 2012. Tabu assisted guided local search approaches for freight service network design Information Sciences. 189, 266-281
  • SABAR, NR, AYOB, M, KENDALL, G and QU, R, 2012. A Honey-Bee Mating Optimization Algorithm For Educational Timetabling Problems European Journal Of Operational Research. 216(3), 533-543
  • ALLEN, SD, BURKE, EK and KENDALL, G, 2011. A Hybrid Placement Strategy For The Three-Dimensional Strip Packing Problem European Journal Of Operational Research. 209(3), 219-227
  • BAK, S, BLAZEWICZ, J, PAWLAK, G, PLAZA, M, BURKE, EK and KENDALL, G, 2011. A Parallel Branch-And-Bound Approach To The Rectangular Guillotine Strip Cutting Problem INFORMS Journal On Computing. 23(1), 15-25
  • BURKE, EK, HYDE, MR and KENDALL, G, 2011. A Squeaky Wheel Optimisation Methodology For Two-Dimensional Strip Packing Computers & Operations Research. 38(7), 1035-1044
  • LI J, HINGSTON P and KENDALL G, 2011. Engineering Design of Strategies for Winning Iterated Prisoner’s Dilemma Competitions IEEE Transactions on Computational Intelligence and AI in Games. 3(4), 348-360
  • BAI, RB, BURKE, EK, KENDALL, G, LI, JP and MCCOLLUM, B, 2010. A Hybrid Evolutionary Approach To The Nurse Rostering Problem IEEE Transactions On Evolutionary Computation. 14(4), 580-590
  • BINNER JM, TINO P, TEPPER J, ANDERSON R, JONES B and KENDALL G, 2010. Does money matter in inflation forecasting? Physica A: Statistical Mechanics and its Applications. 389(21), 4793-4808
  • BURKE EK, HELLIER R, KENDALL G and WHITWELL G, 2010. Irregular Packing using the Line and Arc No-Fit Polygon Operations Research. 58(4), 948-970
  • BURKE, EK, HYDE, M, KENDALL, G and WOODWARD, J, 2010. A Genetic Programming Hyper-Heuristic Approach For Evolving 2-D Strip Packing Heuristics IEEE Transactions On Evolutionary Computation. 14(6), 942-958
  • DAVIES GJ, KENDALL G, SOANE E, LI J, CHARNLEY F and POLLARD SJT, 2010. Regulators as ‘agents’: power and personality in risk regulation and a role for agent-based simulation Journal of Risk Research. 13(8), 961-982
  • KENDALL, G, KNUST, S, RIBEIRO, CC and URRUTIA, S, 2010. Scheduling In Sports: An Annotated Bibliography Computers & Operations Research. 37(1), 1-19
  • LI J and KENDALL G, 2010. Collective Behavior and Kin Selection in Evolutionary IPD Journal of Multiple-Valued Logic and Soft Computing. 16(6), 509-525
  • YANG, SX, WANG, DW, CHAI, TY and KENDALL, G, 2010. An Improved Constraint Satisfaction Adaptive Neural Network For Job-Shop Scheduling Journal Of Scheduling. 13(1), 17-38
  • BINNER, J.M., GRAZELY, A.M. and KENDALL,G., 2009. An evaluation of UK risky money: An artificial intelligence approach Global Business and Economics Review. 11(1), 1-18
  • AYOB, M and KENDALL, G, 2009. The Optimisation Of The Single Surface Mount Device Placement Machine In Printed Circuit Board Assembly: A Survey International Journal of Systems Science. 40(6), 553-569
  • BARTECZKO-HIBBERT C, GILLOTT M and KENDALL G, 2009. An artificial neural network for predicting domestic hot water characteristics International Journal of Low-Carbon Technologies. 4(2), 112-119
  • BURKE, EK, KENDALL, G and WHITWELL, G, 2009. A Simulated Annealing Enhancement Of The Best-Fit Heuristic For The Orthogonal Stock-Cutting Problem INFORMS Journal On Computing. 21(3), 505-516
  • LI, JW and KENDALL, G, 2009. A Strategy With Novel Evolutionary Features For The Iterated Prisoner's Dilemma Evolutionary Computation. 17(2), 257-274
  • LI, JW, POLLARD, S, KENDALL, G, SOANE, E and DAVIES, G, 2009. Optimising Risk Reduction: An Expected Utility Approach For Marginal Risk Reduction During Regulatory Decision Making Reliability Engineering & System Safety. 94(11), 1729-1734
  • BAI, R., BURKE, E.K. and KENDALL, G., 2008. Heuristic, Meta-heuristic and Hyper-heuristic Approaches for Fresh Product Inventory Control and Shelf Space Allocation Journal of the Operational Research Society. (In Press.)
  • OATES, R., KENDALL, G. and GARIBALDI, J., 2008. Frequency Analysis for Dendritic Cell Population Tuning Evolutionary Intelligence. 1(2), 145-157
  • KENDALL, G., PARKES. A and SPOERER, K, 2008. A Survey of NP-Complete Puzzles International Computer Games Association Journal. 31(1), 13-34
  • BINNER, J.M., GAZELY, A.M. and KENDALL, G., 2008. Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques International Journal of Automation and Computing. 5(1), 58-62
  • KENDALL, G., 2008. Scheduling English football fixtures over holiday periods Journal of the Operational Research Society. 59(6), 743-755
  • AYOB, M and KENDALL, G, 2008. A Survey Of Surface Mount Device Placement Machine Optimisation: Machine Classification European Journal of Operational Research. 186(3), 893-914
  • PETROVIC, S, FAYAD, C, PETROVIC, D, BURKE, E and KENDALL, G, 2008. Fuzzy Job Shop Scheduling With Lot-Sizing Annals of Operations Research. 159(1), 275-292
  • BURKE, E.K., HELLIER, R., KENDALL, G. and WHITWELL, G., 2007. Complete and robust no-fit polygon generation for the irregular stock cutting problem European Journal of Operational Research. 179(1), 27-49
  • KENDALL, G. and SU, Y., 2007. Imperfect evolutionary systems IEEE Transactions on Evolutionary Computation. 11(3), 294-307
  • BINNER, J., CHEN, Q-B. and KENDALL, G., 2007. Studying the Effect that a Linear Transformation has on the Time-Series Prediction Ability of an Evolutionary Neural Network In: Proceedings of the 10th Joint Conference on Information Sciences. 592-601
  • TERRAZAS, G., SIEPMAN, P., KENDALL, G. and KRASNOGOR, N., 2007. An Evolutionary Methodology for the Automated Design of Cellular Automaton-based Complex Systems Journal of Cellular Automata. 2(1), 77-102
  • AYOB, M., MD. AB. MALIK A,, ABDULLAH, S., HAMDEN, A.R., KENDALL, G. and QU, R., 2007. Solving a Practical Examination Timetabling Problem: A Case Study: Proceedings of Computational Science and Its Applications - ICCSA 2007 Lecture Notes in Computer Science. 611-624
  • MOODY, D., BAR-NOY, A. and KENDALL, G., 2007. Construction of Initial Neighborhoods for a Course Scheduling Problem Using Tiling In: Proceedings of IEEE Symposium of Computational Intelligence in Scheduling (CISched 2007). 187-191
  • TERRAZAS, G., GHEORGHE, M., KENDALL, G. and KRASNOGOR, N., 2007. Evolving Tiles for Automated Self- Assembly Design In: Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC2007). 2001-2008
  • BURKE, E.K., HYDE, M.R., KENDALL, G. and WOODWARD, J.R., 2007. The Scalability of Evolved On Line Bin Packing Heuristics In: Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC2007). 2530-2537
  • CHEN, P-C., KENDALL, G. and VANDEN BERGHE, G., 2007. An Ant Based Hyper-heuristic for the Travelling Tournament Problem In: Proceedings of IEEE Symposium of Computational Intelligence in Scheduling (CISched 2007). 19-26
  • AYOB M. and KENDALL G., 2007. A Survey of Surface Mount Device Placement Machine Optimisation: Machine Classification European Journal of Operational Research. 186(3), 893-914
  • BAI, R., BURKE, E.K., GENDREAU, M., KENDALL, G. and MCCOLLUM, B., 2007. Memory Length in Hyper-heuristics: An Empirical Study In: Proceedings of IEEE Symposium of Computational Intelligence in Scheduling (CISched 2007). 173-178
  • DOWSLAND, K.A, GILBERT, M. and KENDALL, G., 2007. A Local Search Approach to a Circle Cutting Problem Arising in the Motor Cycle Industry Journal of the Operational Research Society. 58, 429-438
  • DOWSLAND, K.A., HERBERT, E.A., KENDALL, G. and BURKE, E., 2006. Using tree search bounds to enhance a genetic algorithm approach to two rectangle packing problems European Journal of Operational Research. 168(2), 390-402
  • BURKE, E., HELLIER, R., KENDALL, G. and WHITWELL, G., 2006. A new bottom-left-fill heuristic algorithm for the two-dimensional irregular packing problem Operations Research. 54(3), 587-601
  • KENDALL, G. and YAO, X. YEW CHONG, S., eds., 2006. The Iterated Prisoner's Dilemma: 20 Years On World Scientific.
  • NASREDDINE, H., POH, H.S. and KENDALL, G., 2006. Using an Evolutionary Algorithm for the Tuning of a Chess Evaluation Function Based on a Dynamic Boundary Strategy In: Proceedings of 2006 IEEE International Conference on Cybernetics and Intelligent Systems (CIS2006).
  • BURKE, E.K., HYDE, M. and KENDALL, G., 2006. Evolving bin packing heuristics with genetic programming In: 9th International Conference on Parallel Problem Solving fromNature.
  • YEW CHONG, S., HUMBLE, J., KENDALL, G. and YAO, X., 2006. Iterated Prisoner's Dilemma and Evolutionary Game Theory Chapter 2. In: KENDALL, G., YAO, X. and YEW CHONG, S., eds., The Iterated Prisoner's Dilemma: 20 Years On World Scientific.
  • LUCAS, S. M. and KENDALL, G., 2006. Evolutionary Computation and Games IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE. VOL 1(NUMB 1), 10-18
  • LOUIS,S. and KENDALL, G., eds., 2006. Proceedings of IEEE Symposium on Computational Intelligence and Games
  • YEW CHONG, S.' HUMBLE, J., KENDALL, G., LI, M. and YAO, X., 2006. The Iterated Prisoner's Dilemma: 20 Years on. In: KENDALL, G., YAO, X. and YEW CHONG, S., eds., The Iterated Prisoner's Dilemma: 20 Years On World Scientific.
  • HALLAM, N., KENDALL, G. and BLANCHFIELD, P., 2006. Solving Multi-Objective Optimisation Problems using the Potential Pareto Regions Evolutionary Algorithm In: Proceedings of the 9th International Conference on Problem Parallel Solving from Nature, Lecture Notes in Computer Science 4193. 503-512
  • YEW CHONG, S., HUMBLE, J., KENDALL, G., LI, M. and YAO, X., 2006. Learning IPD Strategies Through Coevolution. In: KENDALL, G., YAO, X. and YEW CHONG, S., eds., The Iterated Prisoner's Dilemma: 20 Years On World Scientific.
  • BURKE, E., KENDALL, G., LANDA SILVA, J.D., O'BRIEN, R. and SOUBEIGA, E., 2005. An Ant Algorithm Hyperheuristic for the Project Presentatio Scheduling Problem In: 2005 IEEE Congress on Evolutionary Computation (CEC 2005). 2263-2270
  • KENDALL, G., BURKE, E.K. and PETROVIC, S., eds., 2005. Proceedings of the MISTA 2003 (The 1st Multidisciplinary International Conference on Scheduling: Theory and Applications) conference on Scheduling: Theory and Applications
  • KENDALL, G., 2005. Evaluating the Performance of a EuroDivisia Index Using Artificial Intelligence Techniques In: 8th Joint Conference on Information Systems (JCIS 2005). 871-874
  • KENDALL G, BURKE E and PETROVIC S. AND GENDREAU M, eds., 2005. An Investigation of a Tabu-Search-Based Hyper-heuristic for Examination Timetabling Springer Verlag, London, UK.
  • HALLAM, N., BLANCHFIELD, P. and KENDALL, G., 2005. Handling Diversity in Evolutionary Multiobjective Optimisation In: 2005 IEEE Congress on Evolutionary Computation (CEC'05). 2233-2240
  • BAI, R. and KENDALL, G., 2005. An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-heuristics In: Metaheuristics: Progress as Real Problem Solvers. 87-108
  • KENDALL, G. and MOHD HUSSIN, N., 2005. Tabu Search Hyper-heuristic Approach to the Examination Timetabling Problem at University Technology MARA In: Proceedings of the 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2004). 199-217
  • SU, Y. and KENDALL, G., 2005. A Particle Swarm Optimisation Approach in the Construction of Optimal Risky Portfolios In: 23rd IASTED International Multi-Conference Artificial Intelligence and Applications. 140-145
  • BIAN, F., BURKE, E.K, JAIN, S., KENDALL, G., KOOLE, G.M., LANDA SILVA, J.D, MULDER, J., PAELINCK, M.C.E., REEVES, C., RUSDI, I. and SULEMAN, M.O., 2005. Measuring the Robustness of Airline Fleet Schedules, Multidisciplinary Scheduling; Theory and Applications In: 381-392
  • BURKE, E.K. and KENDALL, G., eds., 2005. Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques Springer.
  • SASTRY, K., GOLDBERG, D. and KENDALL, G., 2005. Genetic Algorithms. In: Introductory Tutorials in Optimisation, Decision Support and Search Methodology Kluwer Academic Publishers, Dordrecht, Boston. 97-125
  • KENDALL, G., LEI, L. and PINEDO, M., eds., 2005. Proceedings of the MISTA 2005 (The 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications) conference
  • TERRAZAS, G., KRASNOGOR, N., KENDALL, G. and GHEORGHE, M., 2005. Automated Tile Design for Self-Assembly Conformations In: 2005 IEEE Congress on Evolutionary Computation (CEC'05). 1801-1814
  • HINGSTON, P. and KENDALL, G., 2005. Enumerating Knight's Tours using an Ant Colony Algorithm In: 2005 IEEE Congress on Evolutionary Computation (CEC'05). 1003-1010
  • KENDALL, G. and HUSSIN, M., 2005. A Tabu Search Hyper-heuristic Approach to the Examination Timetabling Problem at the MARA University of Technology In: Proceedings of the 5th International Conference of Practice and Theory of Automated Timetablingt V (PATAT 2004). 270-293
  • BURKE, E.K., KENDALL, G. and WHITWELL, G., 2004. A new placement heuristic for the orthogonal stock-cutting problem Operations Research. 52(4), 655-671
  • BURKE, E.K., GUSTAFSON, S. and KENDALL, G., 2004. Diversity in genetic programming: an analysis of measures and correlation with fitness IEEE Transactions on Evolutionary Computation. 8(1), 47-62
  • HINGSTON, P. and KENDALL, G., 2004. Ant Colonies Discover Knight's Tours In: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence (AI'04). 1213-1218
  • AYOB, M. and KENDALL, G., 2004. A Nozzle Selection Heuristic to Optimise the Hybrid Pick and Place Machine In: 2004 IEEE Conference on Cybernetic and Intelligent Systems (CIS2004). 1259-1264
  • KENDALL, G. and MOHAMAD, M., 2004. Solving the Fixed Channel Assignment Problem in Cellular Communications Using an Adaptive Local Search In: 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT2004). 219-231
  • GUSTAFSON, S., EKART, A., BURKE, E. and KENDALL, G., 2004. Problem difficulty and code growth in genetic programming Journal of Genetic Programming and Evolvable Machines. 5(3), 271-290
  • HINGSTON, P. and KENDALL, G., 2004. Learning versus Evolution in Iterated Prisoner's Dilemma In: Proceedings of the IEEE 2004 Congress on Evolutionary Computation 2004 (CEC'04). 364-372
  • KENDALL, G. and MOHAMAD, M., 2004. Channel Assignment Optimisation Using a Hyper-heuristic In: 2004 IEEE Conference on Cybernetic and Intelligent Systems (CIS2004). 709-795
  • KENDALL, G. and SU, Y., 2004. Learning with Imperfections - A Multi-Agent Neural-Genetic Trading Systems with Differing Levels of Social Learning In: 2004 IEEE Conference on Cybernetic and Intelligent Systems (CIS2004). 47-52
  • KENDALL, G. and MOHAMAD, M., 2004. Channel Assignement in Cellular Communication Using a Great Deluge Hyper-heuristic In: 2004 12th IEEE International Conference on Networks (ICON2004). 769-773
  • KENDALL, G., YAAKOB, R. and HINGSTON, P., 2004. An Investigation of an Evolutionary Approach to the Opening of Go In: Congress on Evolutionary Computation 2004 (CEC'04). 2052-2059
  • KENDALL, G. and SPOERER, K., 2004. Scripting the Game of Lemmings with a Genetic Algorithm In: Proceeding of the IEEE 2004 Congress on Evolutionary Computation 2004 (CEC'04). 117-124
  • BINNER, J. M., KENDALL, G. and GAZELY, A., 2004. CO-EVOLVING NEURAL NETWORKS WITH EVOLUTIONARY STRATEGIES: A NEW APPLICATION TO DIVISIA MONEY Advances in Econometrics. VOL 19, 127-144
  • BURKE, E.K., KENDALL, G. and SOUBEIGA, E., 2003. A tabu-search hyperheuristic for timetabling and rostering Journal of Heuristics. 9(6), 451-470
  • BURKE, E.K., GUSTAFSON, S.M., KENDALL, G. and KRASNOGOR, N., 2003. Is increased diversity beneficial in genetic programming beneficial: an analysis of the effects on fitness In: Conference on Evolutionary Computation (CEC2003). 1398-1405
  • KENDALL, G. and SMITH, C., 2003. The Co-Evolution of Blackjack Strategies In: Proceedings of Congress on Evolutionary Computation. 2474-2481
  • BURKE, E.K., KENDALL, G., O'BRIEN, R., REDRUP, D. and SOUBEIGA, E., 2003. An Ant-Algorithm Hyper-heuristic In: Proceedings of the Fifth Metaheuristics International Conference (MIC 2003).
  • AYOB, M. and KENDALL, G., 2003. Real-time Scheduling for Multi Headed Placement Machine In: Proceedings of the 2003 IEEE International Symposium on Assembly and Task Planning (ISATP03).
  • AYOB, M. and KENDALL, G., 2003. An Investigation of an Adaptive Scheduling for Multi Headed Placement Machines Using a Greedy Search In: 1st Multidisciplinaryt International Conference on Scheduling: Theory and Applications (MISTA 2003).
  • AYOB, K. and KENDALL, G., 2003. A Monte Carlo Hyper-Heuristic to Optimise Component Placement Sequencing for Multi Head Placement Machine In: International Conference on Intelligent Technologies, InTech'03. 132-141
  • BURKE, E., KENDALL, G., NEWALL, J., HART, E., ROSS, P. and SCHULENBURG, S., 2003. Hyper-heuristics: an emerging direction in modern search technology. In: GLOVER, F. and KOCHENBERGER, G.A., eds., Handbook of meta-heuristics Dordrech: Kluwer Academic Publishers. 457-474
  • BIAN, F., BURKE, E.K., JAIN, S., KENDALL, G., KOOLE, G.M., LANDA SILVA, J.D., MULDER, J., PAELINCK, M.C., REEVES, C., RUSDI, 1. and SULEMAN, M.O., 2003. Making Airline Schedules More Robust In: 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003). 678-693
  • HAN, L. and KENDALL, G., 2003. Investigation of a Tabu Assisted Hyper-Heuristic Genetic Algorithm In: Congress on Evolutionary Computation.
  • HAN, L. and KENDALL, G., 2003. Guided Operators for a Hyper-Heuristic Genetic Algorithm In: AI-2003: Advances in Artificial Intelligence. The 16th Australian Conference on Artificial Intelligence (AI'03). 807-820
  • KENDALL, G. and SMITH, C., 2003. The Co-Evolution of Blackjack Strategies In: Proceedings of the IEEE 2003 Congress on Evolutionary Computation (CEC2003). 2474-2481
  • KENDALL, G. and MOHD HUSSIN, N., 2003. An Investigation of a Tabu-Search-Based Hyper-heuristic for Examination Timetabling In: 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003). 226-233
  • KENDALL, G. and SU, Y., 2003. Co-evolution of Successful Trading Strategies in A Simulated Stock Market In: Proceedings of the 2003 International Conference on Machine Learning and Applications (ICLMA03). 200-206
  • KENDALL, G., BURKE, E.K. and PETROVIC, S., eds., 2003. Proceedings of the MISTA 2003 (The 1st Multidisciplinary International Conference on Scheduling: Theory and Applications) conference Springer.
  • KENDALL, G. and SU, Y., 2003. A Multi-Agent Based Stock Market - Testing on Different Types of Stocks In: Congress on Evolutionary Computation.
  • BURKE, E.K., GUSTAFSON, S.M., KENDALL, G. and KRASNOGOR, N., 2002. Advanced population diversity measures in genetic programming In: Seventh Parallel Problem Solving from Nature (PPSN VII) Conference. 341-350
  • AYOB, M., COWLING, P.I. and KENDALL, G., 2002. Optimisation for Surface Mount Placement Machines In: IEEE International Conference on Industrial Technology (ICIT02). 498-503
  • COWLING, P.I., KENDALL, G. and SOUBEIGA, E., 2002. Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation In: Proceedings of Evo Workshops 2002.
  • BURKE, E.K., GUSTAFSON, S.M. and KENDALL, G., 2002. A puzzle to challenge genetic programming In: 5th European Conference on Genetic Programming (EURO-GP). 238-247
  • DAVIS, J.E. and KENDALL, G., 2002. An Investigation, Using Co-Evoluation, to Evolve an Awari Player In: Proceedings of 2002 Congress on Evolutionary Computation (CEC2002). 1408-1413
  • BINNER, J. and KENDALL, G., 2002. Co-Evolving Neural Networks with Evolutionary Strategies: A new Application to Divisia Money In: Proceedings of International Conference on Artificial Intelligence (IC-AL02). 884-889
  • PETROVIC, S., KENDALL, G. and YANG, Y., 2002. A Tabu Search Approach for Graph-Structured Case Matching In: Starting Artificial Intelligence Researchers Symposium (STAIRS 2002). 55-64
  • BURKE, E.K. and KENDALL, G., 2002. A new approach to packing non-convex polygons using the no fit polygon and meta-heuristic and evolutionary algorithms In: Proceedings of the 5th International Conference on Adaptive Computing in Design and Manufacture (ACDM 2002). 193-204
  • COWLING, P., KENDALL, G. and SOUBEIGA, E., 2002. Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling In: Parallel Problem Solving from Nature Conference, 7th International Conference. 851-860
  • AYOB, M. and KENDALL, G., 2002. A New Dynamic Point Specification Approach to Optimise Surface Mount Placement Machine in Printed Ci In: IEEE International Conference on Industrial Technology (ICIT02). 486-491
  • COWLING, P.I., KENDALL, G. and HAN, L., 2002. An Investigation of a Hyperheuristic Genetic Algorithm Applied to a Trainer Scheduling Problem In: 2002 Congress on Evolutionary Computation (CEC2002). 1185-1190
  • HAN, L., KENDALL, G. and COWLING, P.I., 2002. An Adaptive Length Chromosome Hyperheuristic Genetic Algorithm for a Trainer Scheduling Problem In: Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL02). 267-271
  • BURKE, E.K., GUSTAFSON, S.M. and KENDALL, G., 2002. A survey and analysis of diversity measures in genetic programming In: Genetic and Evolutionary Computation Conference (GECCO-2002). 713-723
  • KENDALL, G., SOUBEIGA, E. and COWLING, P.I., 2002. Choice Function and Random Hyper Heuristics In: Proceedings of the 4th Asia Pacific Conference on Simulated Evolution and Learning (SEAL02). 667-671
  • KENDALL, G. and SHAW, S., 2002. An Investigation of an Adaptive Cribbage Player In: Accepted for Computers and Games 2002 (CG'02). 29-41
  • WARD, C. R., GOBET, F. and KENDALL, G., 2001. Evolving collective behavior in an artificial ecology Artificial Life. 7(2), 191-210
  • COWLING, P.I., KENDALL, G. and SOUBEIGA, E., 2001. A Parameter-Free Hyperheuristic for Scheduling a Sales Summit In: Proceedings of the Fourth Metaheuristics International Conference (MIC 2001). 127-131
  • KENDALL,G. and WHITWELL,G., 2001. An Evolutionary Approach for the Tuning of a Chess Evaluation Function Using Population Dynamics In: Proceedings of the IEEE 2001 Congress on Evolutionary Computation 2001 (CEC'2001), 27-29 May, COEX Center, Seoul, Korea. 995-1002
  • KENDALL, G., BINNER, J. and GAZELY, A., 2001. Evolutionary Strategies - A New Macroeconomic Policy Tool In: Modelling and Control of Economic Systems 2002. 377-382
  • KENDALL, G. and WILLDIG, M., 2001. An Investigation of an Adaptive Poker Player In: Proceedings of the Fourteenth Australian Joint Conference on Artificial Intelligence (AI'01). 189-200
  • KENDALL, G., BINNER, J. and GAZELY, A., 2001. Evolutionary Strategies vs Neural Networks: An Inflation Forecasting Experiment In: Proceedings of IC-AI'2001 (International Conference on Artificial Intelligence. 609-615
  • COWLING, P.I., KENDALL, G. and SOUBEIGA, E., 2000. A Hyperheuristic Approach to Scheduling a Sales Summit In: Third International Conference on the Practice and Theory of Automated Timetabling. 176-190
  • BURKE, E.K. and KENDALL, G., 1999. Applying Simulated Annealing and the No Fit Polygon to the Nesting Problem In: Proceedings of WMC'99: World Manufacturing Congress. 70-76
  • BURKE, E. and KENDALL, G., 1999. Applying evolutionary algorithms and the no fit polygon to the nesting problem In: IC-AI'99: The 1999 International Conference on Artificial Intelligence. 51-57
  • BURKE, E. and KENDALL, G., 1999. Evaluation of two dimensional bin packing problem using the no fit polygon In: 26th International Conference on Computers and Industrial Engineering. 286-291
  • BURKE, E. and KENDALL, G., 1999. Applying ant algorithms and the no fit polygon to the nesting problem In: 12th Australian Joint Conference on Artificial Intelligence (AI'99). 454-464
  • BURKE, E.K. and KENDALL, G., 1999. Comparison of Meta-Heuristic Algorithms for Clustering Rectangles Computers and Industrial Engineering: Proceedings of the 24th International Conference on Computers and Industrial Engineering, Brunel University. 37(1-2), 383-386

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email: csit-enquiries@cs.nott.ac.uk