A. GARG, B. SHUKLA and G. KENDALL, 2015. Barriers to implementation of IT in educational institutions The International Journal of Information and Learning Technology. 32(2), 94-108 J. GROBLER, A. P. ENGELBRECHT, G. KENDALL and V.S.S. YADAVALLI, 2015. Heuristic Space Diversity Control for Improved Meta-Hyper-Heuristic Performance Information Sciences. 300, 49-62 M.N. MOHMAD KAHAR and G. KENDALL, 2015. A great deluge algorithm for a real-world examination timetabling problem Journal of the Operational Research Society. 66(1), 116-133 M. MAASHI, G. KENDALL and E. 'OZCAN, 2015. Choice Function based Hyper-heuristics for Multi-objective Optimization Applied Soft Computing. 28, 312-326 G.J. DAVIES, G. KENDALL, E. SOANE, J. LI, S.A. ROCKS AND S.R. JUDE and S.J.T. POLLARD, 2014. Regulators as agents: Modelling personality and power as evidence is brokered to support decisions on environmental risk Science of the Total Environment. 466-467, 74-83 M.N. MOHMAD KAHAR and G. KENDALL, 2014. Universiti Malaysia Pahang examination timetabling problem: scheduling invigilators Journal of the Operational Research Society. 65(2), 214-226 N. R. SABAR, M. AYOB and G. KENDALL, 2014. An Exponential Monte-Carlo Local Search Algorithm for the Berth Allocation Problem In: Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (PATAT 2014). 544-548
A. ABUHAMDAH, M. AYOB, G. KENDALL and N. R. SABAR, 2014. Population based Local Search for university course timetabling problems Applied Intelligence. 40(1), 44-53 R. BAI, J. LI, J.A.D. ATKIN and G. KENDALL, 2014. A novel approach to independent taxi scheduling problem based on stable matching Journal of the Operational Research Society. 65(10), 1501-1510 M. MAASHI, E. 'OZCAN and G. KENDALL, 2014. A Multi-objective Hyper-heuristic based on Choice Function Expert Systems with Applications. 41(9), 4475-4493 J. SWAN, J. WOODWARD, E. 'OZCAN, G. KENDALL and E. BURKE, 2014. Searching the Hyper-heuristic Design Space Cognitive Computation. 6(1), 66-73 H. XING, R. QU, G. KENDALL and R. BAI, 2014. A path-oriented encoding evolutionary algorithm for network coding resource minimization Journal of the Operational Research Society. 65(8), 1261-1277 J. GROBLER, A. P. ENGELBRECHT, G. KENDALL and V.S.S. YADAVALLI, 2014. Heuristic Space Diversity Control for Improved Meta-Hyper-Heuristic Performance Information Sciences. In Press (In Press.)
M. MAASHI, G. KENDALL and E. 'OZCAN, 2014. Choice Function based Hyper-heuristics for Multi-objective Optimization Applied Soft Computing. In Press (In Press.)
G. KENDALL and J. LI, 2013. Competitive travelling salesmen problem: A hyper-heuristic approach Journal of the Operational Research Society. 64(2), 208-216 BAI, R., VAN WOENSEL, T., KENDALL, G. and BURKE, E.K., 2013. A New Model and a Hyper-heuristic Approach for Two-dimensional Shelf Space Allocation 4OR - A Quarterly Journal of Operations Research. 11(1), 31-55 J. LI and G. KENDALL, 2013. Evolutionary Stability of Discriminating Behaviors With the Presence of Kin Cheaters IEEE Transactions on System, Man & Cybernetics: Part B: Cybernetics. (In Press.)
N. R. SABAR, M. AYOB, G. KENDALL and R. QU, 2013. Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems IEEE Transactions on Evolutionary Computation. 17(6), 840-861 J. LI, G. KENDALL and A. V. VASILAKOS, 2013. Backward Induction and Repeated Games With Strategy Constraints: An Inspiration From the Surprise Exam Paradox IEEE Transactions on Computational Intelligence and AI in Games. 5(3), 242-250 M. H. HYDE, E. K. BURKE and G. KENDALL, 2013. Automated code generation by local search Journal of the Operational Research Society. 64(12), 1725-1741 M. DROR and G. KENDALL, 2013. Repeated Goofspiel: A Game of Pure Strategy IEEE Transactions on Computational Intelligence and AI in Games. 5(4), 312-324 E. K. BURKE, M. GENDREAU, M. HYDE, G. KENDALL, G. OCHOA AND E. 'OZCAN and R. QU, 2013. Hyper-heuristics: a survey of the state of the art Journal of the Operational Research Society. 64(12), 1695-1724 J. BLAZEWICZ, E. K. BURKE, G. KENDALL, W. MRUCZKIEWICZ AND C. 'OGUZ and A. SWIERCZ, 2013. A hyper-heuristic approach to sequencing by hybridization of DNA sequences Annals of Operations Research. 207(1), 27-41 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 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 EDMUND K. BURKE, MATTHEW R. HYDE and GRAHAM KENDALL, 2012. Grammatical Evolution of Local Search Heuristics IEEE Transactions on Evolutionary Computation. LI, J., DAVIES, G.J., KENDALL, G., SOANE, E., BAI, R., ROCKS, S.A. and POLLARD, S.J.T., 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), F. R. B. CRUZ, G. KENDALL, L. WHILE, A. R. DUARTE and N. L. C. BRITO, 2012. Throughput Maximization of Queueing Networks with Simultaneous Minimization of Service Rates and Buffers Mathematical Problems in Engineering. R. BAI, J. BLAZEWICZ, E. K. BURKE, G. KENDALL and B. MCCOLLUM, 2012. A Simulated Annealing Hyper-heuristic Methodology for Flexible Decision Support 4OR - A Quarterly Journal of Operations Research. 10(1), 43-66 B. AL-KHATEEB and G. KENDALL, 2012. Introducing Individual and Social Learning Introducing Individual and Social Learning IEEE Transactions on Computational Intelligence and AI in Games. 4(4), 258-269 G. KENDALL, 2012. Journals Rankings: Buyer Beware Ergon: Bulletin for the UM Academic Community. 4(2), 2-4 J. LEVINE, C. BATES CONGDON, M. EBNER, G. KENDALL, S.M. LUCAS, R. MIIKKULAINEN, T. SCHAUL and T. THOMPSON, 2012. Artificial and Computational Intelligence in Games: A Follow-up to Dagstuhl Seminar 12191 General Video Game Playing. In: S.M. LUCAS, M. MATEAS, M. PREUSS, P. SPRONCK and J. TOGELIUS, eds., 6. 77-83 E. K. BURKE, G. KENDALL, M. MISIR and E. 'OZCAN, 2012. Monte Carlo hyper-heuristics for examination timetabling Annals of Operations Research. 196(1), 73-90 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 winning strategies for iterated prisoner’s dilemma competitions IEEE Transactions on Computational Intelligence and AI in Games. 3(4), 348-360 D. LANDA-SILVA, Y. WANG, P. DONOVAN and G. KENDALL, 2011. Hybrid Heuristic for Multi-carrier Transportation Plans In: Proceedings of The Ninth Metaheuristics International Conference (MIC 2011). S1-23�1 - S1-23�9
R. BAI, J. L, J. A. D. ATKIN and G. KENDALL, 2011. A Game Theoretic Approach for Taxi Scheduling Problem with Street Hailing In: Proceedings of the 5th Multidisciplinary International Conference on Scheduling: Theory and Applications. 161-172
BURKE, E.K., KENDALL, G., MISIR, M. and ÖZCAN, E., 2010. Monte Carlo hyper-heuristics for examination timetabling Annals of Operations Research. 196(1), 73-90 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 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 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 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 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
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. and KENDALL G., 2007. A Survey of Surface Mount Device Placement Machine Optimisation: Machine Classification European Journal of Operational Research. 186(3), 893-914 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 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.
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).
KENDALL, G. and YAO, X. YEW CHONG, S., eds., 2006. The Iterated Prisoner's Dilemma: 20 Years On World Scientific.
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 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.
LOUIS,S. and KENDALL, G., eds., 2006. Proceedings of IEEE Symposium on Computational Intelligence and Games
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
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.
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
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
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
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
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
BURKE, E.K. and KENDALL, G., eds., 2005. Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques Springer.
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 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 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
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
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. 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
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
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
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 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
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).
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, 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
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 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.
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
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
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
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
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
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
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., 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
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
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
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
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., 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. 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. 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 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.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.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 M. DROR, G. KENDALL and A. RAPOPORT, Elicitation of Strategies in Four Variants of a Round-robin Tournament: The case of Goofspiel IEEE Transactions on Computational Intelligence and AI in Games. (In Press.)
J. LI and G. KENDALL, A hyper-heuristic methodology to generate adaptive strategies for games IEEE Transactions on Computational Intelligence and AI in Games. (In Press.)