Seoul National University

Seoul National University <br/>School of Computer Science & Engineering

Structural Complexity Laboratory
Publications

Note: The link from the title of a paper is to an unauthoritative, pre-review version of the paper. The links at the end of each reference generally point to more authoritative versions, but may have an associated charge.

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Journal Papers

  1. Naoki Mori, Bob McKay, Nguyen Xuan Hoai, Daryl Essam, Saori Takeuchi, “ A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification ” , Journal of Advanced Computational Intelligence and Intelligent Informatics 13 (3) 2009, Pp. 237 - 244
  2. Bo Liu, Juhui Pan, R I (Bob) McKay, “ Entropy-Based Metrics in Swarm Clustering ” , International Journal of Intelligent Systems 24 (9) 2009, Pp. 989-1011
  3. Byungho Min, Jinhyuck Kim, Chongyoun Choe, Hyeonsang Eom, Bob McKay, “ A Compound Framework for Sports Results Prediction: A Football Case Study ” , Knowledge Based Systems 21 (7) 2008, Pp. 551-562 Link
  4. Bob McKay, Shu-Heng Chen, Xuan Hoai Nguyen, “ Genetic Programming: An emerging engineering tool ” , International Journal of Knowledge-Based and Intelligent Engineering Systems 12 (1) 2008, Pp. 1-2
  5. Tuan-Hao Hoang, Daryl Essam, RI (Bob) McKay, Nguyen Xuan Hoai, “ Developmental evaluation in Genetic Programming: The TAG-based frame work ” , International Journal of Knowledge-Based and Intelligent Engineering Systems 12 (1) 2008, Pp. 69-82 Link
  6. Nguyen, M H, Abbass, H A, McKay, R I (Bob), “ Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition and Regularization ” , Systems, Man and Cybernetics C 38 (1) 2008, Pp. 100-109 Link
  7. Nguyen, M H, Abbass, H A, McKay, R I (Bob), “ A Novel Mixture of Experts Model Based on Cooperative Coevolution ” , Neurocomputing 70 (1-3) 2006, Pp. 155-163 Link
  8. McKay, R I (Bob), Hoang, T H, Mori, N, Nguyen, X H, Essam, D L, “ Model-Building with Interpolated Temporal Data ” , Ecological Informatics 1 (3) 2006, Pp. 259-268 Link
  9. Shan, Y, Paull, D, McKay, R I (Bob), “ Machine Learning of Poorly Predictable Ecological Data ” , Ecological Modelling 195 (1-2) 2006, Pp. 129-138 Link
  10. Nguyen, X H, McKay, R I (Bob), Essam, D L, “ Representation and Structural Difficulty in Genetic Programming ” , IEEE Transactions on Evolutionary Computation 10 (2) 2006, Pp. 157-166 Link
  11. Nguyen, M H, Abbass, H A, McKay, R I (Bob), “ Stopping Criteria for Ensembles of Artificial Neural Networks ” , Applied Soft Computing 6 (1) 2005, Pp. 100-107 Link
  12. Liu, B, Abbass, H, McKay, R I (Bob), “ Classification Rule Discovery with Ant Colony Optimisation ” , IEEE Computational Intelligence Bulletin 3 (1) 2004, Pp. 31-35 Link
  13. Cao, H Q, Yu, J, Kang, L S, McKay, R I (Bob), “ An Experimental Study of Some Control Parameters in Parallel Genetic Programming ” , Neural, Parallel and Scientific Computations 11 (4) 2003, Pp. 377-393 Link
  14. McKay, R I (Bob), Abbass, H A, “ Artificial Life: An Introduction ” , International Journal of Computational Intelligence and Applications 3 (2) 2003, Pp. 143-144 Link
  15. McKay, R I (Bob), “ An Investigation of Fitness Sharing in Genetic Programming ” , The Australian Journal of Intelligent Information Processing Systems 7 (1/2) 2001, Pp. 43-51
  16. McKay, R I (Bob), Abbass, H.A, “ Anti-correlation: A Diversity Promoting Mechanism in Ensemble Learning ” , The Australian Journal of Intelligent Information Processing Systems 7 (3/4) 2001, Pp. 139-149
  17. Nguyen, X H, McKay, R I (Bob), Essam, D L, “ Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results ” , The Australian Journal of Intelligent Information Processing Systems 7 (3/4) 2001, Pp. 114-121
  18. Wang, B, McKay, R I (Bob), Abbass, H A, Barlow, M, “ Domain Ontology Guided Feature-Selection for Document Categorisation ” , The Australian Journal of Intelligent Information Processing Systems 7 (3/4) 2001, Pp. 102-109
  19. McKay, R I (Bob), “ Variants of Genetic Programming for Species Distribution Modelling - Fitness Sharing, Partial Functions, Population Evaluation ” , Ecological Modelling 146 (1-3) 2001, Pp. 231-241 Link
  20. Yao, X, McKay, R I (Bob), “ Simulated Evolution and Learning: An Introduction ” , Applied Intelligence 15 (3) 2001, Pp. 151-152 Link
  21. McKay, R I (Bob), Sarker, R, Yao, X, “ Intelligent and Evolutionary Systems: An Introduction ” , KES Journal 4 2000, Pp. 1-2
  22. McKay, R I (Bob), Davis, J R, “ Artificial Intelligence in the Natural World ” , AI Applications 8 (3) 1994, Pp. 1-2
  23. R.I. (Bob) McKay, N.X. Hoai, P.A. Whigham, Y. Shan, M. O'Neill, “ Grammar-based Genetic Programming: A Survey ” , Genetic Programming and Evolvable Machines (10th Anniversary Special Issue)

Keynote Addresses etc.

  1. R I (Bob) McKay, “ Evolution, Development and Fitness in Genetic Programming ” , Eleventh Asia-Pacific Symposium on Intelligent and Evolutionary Systems November 2007, Yokosuka, Japan, Keynote Address
  2. McKay, R I (Bob), “ Complexity in Genetic Programming: Using Entropy and Compression Metrics to Understand GP Behaviour ” , International Symposium on Intelligence, Computation and Applications September 2007, Wuhan, China, Keynote Address
  3. McKay, R I (Bob), “ A Research Introduction to Genetic Programming ” , Third Asia-Pacific Workshop on Genetic Programming October 2006, Hanoi, VietNam, Keynote Address
  4. McKay, R I (Bob), “ Using Human Speech Structures to Model Reality: Grammars in Genetic Programming ” , International Symposium on Intelligence, Computation and Applications April 2005, Wuhan, China, Keynote Address
  5. McKay, R I (Bob), “ Machine Learning with Genetic Programming: Some Challenges ” , Asia-Pacific Symposium on Intelligent and Evolutionary Systems November 2003, Kitakyushu, Japan, Keynote Address
  6. McKay, R I (Bob), “ Inspirations from Nature: Evolution and Complexity ” , International Conference on Communications, Circuits and Systems July 2002, Chengdu, China, Keynote Address
  7. McKay, R I (Bob), “ Complexity and Hierarchy in Natural and Artificial Systems ” , Australian Workshop on Artificial Life November 2001, Adelaide, Australia, Keynote Address
  8. Newton, C S, McKay, R I (Bob), “ Evolutionary Computation in Defence ” , Japan-Australia Workshop on Intelligent and Evolutionary Systems November 2000, Yokosuka, Japan, Keynote Address

Refereed Book Chapters

  1. W B Langdon, R I McKay, L Spector, “ Genetic Programming ” , in Handbook of Metaheuristics, Springer Verlag To Appear 2010
  2. Raymond Chiong, Ferrante Neri, RI (Bob) McKay, “ Nature that Breeeds Selection ” , in R Chiong (eds), Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science and Engineering, IGI Global July 2009
  3. McKay, R I (Bob), “ Evolutionary Algorithms ” , in The Encyclopaedia of Ecology, Elsevier July 2008, Pp. 1464-1472 Link
  4. Shin, J, Kang, M, McKay, R I (Bob), Nguyen, X, Hoang, T H, Mori, N, Essam, D, “ Analysing the Regularity of Genomes using Compression and Expression Simplification ” , in Ebner, M and O'Neill, M and Ekart, A and Vanneschi, L and Esparcia-Alcazar, A I (eds), Proceedings of the 10th European Conference on Genetic Programming (EuroGP2007), Springer Lecture Note in Computer Science 4445 Springer-Verlag April 11-13 2007, Pp. 251-260 Link
  5. Hoang, Tuan-Hao, Essam, Daryl, McKay, Robert Ian (Bob), Nguyen, Xuan Hoai, “ Building on Success in Genetic Programming: Adaptive Variation & Developmental Evaluation ” , in Lishan Kang and Yong Liu and Sanyou Zeng (eds), Advances in Computation and Intelligence: Proceedings of the 2007 International Symposium on Intelligent Computation and Applications (ISICA), Lecture Note in Computer Science 4683 Springer-Verlag Sept 21-23 2007, Pp. 137-146 Link
  6. Shan, Y, McKay, R I (Bob), Essam, D, Abbass, H A, “ A Survey of Probabilistic Model Building Genetic Programming ” , in Pelikan, M and Sastry, K and Cantu-Paz, E (eds), Scalable Optimization via Probabilistic Modelling: From Algorithms to Applications, Springer Studies in Computational Intelligence 33 Springer-Verlag 2006, Pp. 121-160 Link
  7. Liu, B, Pan, J, McKay, R I (Bob), “ Incremental Clustering Based on Swarm Intelligence ” , in Wang, T D and Li, X D and Chen, S-H and Wang, X and Abbass, H and Iba, H and Chen, G and Yao, X (eds), Proceedings of Simulated Evolution and Learning 6th International Conference (SEAL 2006), Springer Lecture Note in Computer Science 4247 Springer-Verlag April 2006, Pp. 189-196 Link
  8. McKay, R I (Bob), Hoang, T H, Essam, D L, Nguyen, X H, “ Developmental Evaluation in Genetic Programming: the Preliminary Results ” , in Collet, P and Tomassini, M and Ebner, M and Gustafson, S and Ekart, A (eds), Proceedings of the 9th European Conference on Genetic Programming (EuroGP 2006), Springer Lecture Note in Computer Science 3905 Springer-Verlag April 10-12 2006, Pp. 280-289 Link
  9. Hoang, T H, Nguyen, X H, McKay, R I (Bob), Essam, D L, “ The Importance of Local Search: A Grammar Based Approach to Environmental Time Series Modelling ” , in Yu, T and Riolo, R and Worzel, B (eds), Genetic Programming Theory and Practice III, Springer series on Genetic Programming 9 Springer US June 18 2006, Pp. 159-175 Link
  10. Kirley, M, Abbass, H A, McKay, R I (Bob), “ Diversity Mechanisms in Pitt-Style Evolutionary Classifier Systems ” , in Triantaphyllou, E and Felici, G (eds), Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques, Kluwer Massive Computation series 6 Springer-Verlag June 2006, Pp. 433-457
  11. Nguyen, X H, McKay, R I (Bob), Essam, D, Hoang, T H, “ Genetic Transposition in Tree Adjoining Grammar Guided Genetic Programming: The Duplication Operator ” , in Keijzer, M and Tettamanzi, A and Collet, P and Hemert J van and Tomassini, M (eds), Proceedings of the 8th European Conference on Genetic Programming (EuroGP 2005), Springer Lecture Note in Computer Science 3447 Springer-Verlag March 30-April 1 2005, Pp. 108-119 Link
  12. Nguyen, M H, Abbass, H A, McKay, R I (Bob), “ Diversity and Neuro-Ensembles ” , in Ghosh, A and Jain, L (eds), Evolutionary Computing in Data Mining, Studies in Fuzziness and Soft Computing 163 Physica-Verlag December 2005, Pp. 125-153 Link
  13. Nguyen, X H, McKay, R I (Bob), Essam, D L, Abbass, H A, “ Toward an Alternative Comparison Between Genetic Programming Systems ” , in Keijzer, M and O'Reilly, UM and Lucas, S M and Costa, E and Soule, T (eds), Proceedings of The 7th European Conference on Genetic Programming (EuroGP 2004), Springer Lecture Note in Computer Science 3003 Springer-Verlag April 5-7 2004, Pp. 67-77 Link
  14. Nguyen, X H, McKay, R I (Bob), Essam, D L, “ Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming ” , in Abraham, A and Jain, L and Zwaag, B J van der (eds), Innovations in Intelligent Systems and Applications, Springer Studies in Fuzziness and Soft Computing 140 Springer-Verlag January 2004, Pp. 221-236 Link
  15. Nguyen, X H, McKay, R I (Bob), “ Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators ” , in Deb, K and Poli, R and Banzhaf, W and Beyer, HG and Burke, E and Darwen, P and Dasgupta, D and Floreano, D and Foster, J and Harman, M and Holland, O and Lanzi, P L and Spector, L and Tettamanzi, A and Thierens, D and Tyrrell, A (eds), Genetic and Evolutionary Computation Conference, Seattle, WA, USA,, Proceedings, Part II, Lecture Note in Computer Science 3103 Springer-Verlag June 26-30 2004, Pp. 605-616 Link
  16. Nguyen, X H, McKay, R I (Bob), Abbass, H A, “ Tree Adjoining Grammars, Language Bias, and Genetic Programming ” , in Ryan, C and Soule, T and Keijzer, M and Tsang, E and Poli, R and Costa, E (eds), Genetic Programming: 6th European Conference, EuroGP , Essex, UK, April 14-16, 2003. Proceedings, Springer Lecture Notes in Computer Science 2610 Springer-Verlag February 19 2004, Pp. 157-183 Link
  17. Nguyen, M H, Abbass, H A, McKay, R I (Bob), “ Stopping Criteria for Ensembles of Evolutionary Artificial Neural Networks ” , in Abraham, A and Franke, K and Koeppen, M (eds), Design and Application of Hybrid Intelligent Systems, Frontiers in Artificial Intelligence and Applications 104 IOS Press November 2003, Pp. 157-166 Link
  18. Nguyen, X H, McKay, R I (Bob), Essam, D L, “ Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming ” , in Foster, J A and Lutton, E and Miller, J and Ryan, C and Tezzamanzi, A G B (eds), Genetic Programming: Proceedings of the 5th European Conference (EuroGP 2002), Springer Lecture Note in Computer Science 2278 Springer-Verlag April 3-5 2002, Pp. 104-221 Link
  19. Bracken, N J, McKay, R I (Bob), “ Phased Array Sub-Beam Optimisation ” , in Stumptner and Corbett and Brooks (eds), AI 2001: Advances in Artificial Intelligence: 14th International Joint Conference on Artificial Intelligence. Proceedings, Springer Lecture Note in Computer Science 2256 Springer-Verlag December 10-14 2001, Pp. 157-193 Link
  20. Whigham, P, McKay, R I (Bob), “ Genetic approaches to learning recursive relations ” , in Yao, X (eds), Progress in Evolutionary Computation. Proceeding of the Evolutionary Computation Workshop at the Australian Joint Conference on Artificial Intelligence (AI1993-1994), Springer Lecture Note in Artificial Intelligence 956 Springer-Verlag November 1995, Pp. 17-27 Link
  21. Whigham, P, McKay, R I (Bob), Davis, J, “ Machine Induction of Geospatial Knowledge ” , in Frank, A U and Campari, I and Formentini, U (eds), Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, Springer Lecture Note in Computer Science 639 Springer-Verlag September 1992, Pp. 402-417 Link

Refereed Conference Papers

  1. Keehyung Kim, Hyukgeun Choi, R.I. Bob McKay, “ Hybrid Integration of Reasoning Techniques in Suspect Investigation ” , in Proceedings, International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010), Lecture Note in Computer Science Springer 2010, Pp. To appear
  2. Quang Uy Nguyen, Xuan Hoai Nguyen, Michael O'Neill, Bob McKay, Edgar Galvan Lopez, “ An Analysis of Semantic Aware Crossover ” , in Zhihua Cai and Zhenhua Li and Zhuo Kang and Yong Liu (eds), Proceedings of the International Symposium on Intelligent Computation and Applications, Communications in Computer and Information Science 51 Springer October 2009, Pp. 56-65
  3. Quang Uy Nguyen, Michael O'Neill, Xuan Hoai Nguyen, Bob McKay, Edgar Galvan Lopez, “ Semantic Similarity based Crossover in GP: The Case for Real-valued Function Regression ” , in Pierre Collet (eds), Evolution Artificielle, 9th International Conference, Lecture Notes in Computer Science Springer 26-28 October 2009, Pp. 13-24
  4. Huynh Thi Thanh Binh, Nguyen Xuan Hoai, R.I. Bob McKay, Nguyen Duc Nghia, “ New Heuristic and Hybrid Genetic Algorithm for Solving the Bounded Diameter Minimum Spanning Tree Problem ” , in Genetic and Evolutionary Computation Conference (GECCO), Proceedings, July 8-12 2009, Pp. 373-380
  5. Yun-Geun Lee, Robert Ian McKay, Nguyen Xuan Hoai, Dong-Kyun Kim, “ The Effect of Vesicular Selection in Dynamic Environments ” , in Genetic and Evolutionary Computation Conference (GECCO), Proceedings, July 8-12 2009, Pp. 1867-1868
  6. Robert I. McKay, Nguyen Xuan Hoai, James R. Cheney, MinHyeok Kim, Naoki Mori, Tuan Hao Hoang, “ Estimating the Distribution and Propagation of Genetic Programming Building Blocks through Tree Compression ” , in Genetic and Evolutionary Computation Conference (GECCO), Proceedings, July 8-12 2009, Pp. 1011-1018
  7. Haisoo Shin, Yun-Geun Lee, Bob McKay, Nguyen Xuan Hoai, “ Evolutionary Algorithms in Unreliable Memory ” , in Martin Suess and Tughrul Arslan and Didier Keymuelen and Adrian Stoica and Ahmet T. Erdogan and David Merodio (eds), Adaptive Hardware and Systems, Proceedings, NASA/ESA Conference on, Jul 29 - Aug 1 2009, Pp. 236-243
  8. Juho Kim, Won-Wook Hong, Robert Ian McKay, “ Evolutionary Topic Maps ” , in Korean Human-Computer Interface Conference, Feb 9-11 2009
  9. Tuan Pham, Kangil Kim, Bob McKay, Xuan Hoai Nguyen, “ An Adaptive, Personalised Chording Keyboard ” , in Korean Human-Computer Interface Conference, Feb 9-11 2009
  10. Dharani Punithan, Bob McKay, “ Cognitive Based Context Aware Reference History Management ” , in Korean Human-Computer Interface Conference, Feb 9-11 2009
  11. MinHyeok Kim, R I (Bob) McKay, “ Simple Music Analysis using Plain Genetic Programming ” , in Proceedings of the KIISE Symposium on Ubiquitous Computing and Web Information Technology, 2 Korean Institute of Information Scientists and Engineers November 2008, Pp. 195-199
  12. Tuan-Hao Hoang, R I (Bob) McKay, Daryl Essam, Xuan Hoai Nguyen, “ Learning General Solutions through Multiple Evaluations during Development ” , in Lukas Sekanina and Pauline Haddow (eds), Proceedings of the Eighth International Conference on Evolvable Systems, Springer Lecture Notes in Computer Science Springer September 21 - 24 2008, Pp. 201-212 Link
  13. H T H Binh, X H Nguyen, R I (Bob) McKay, “ A New Hybrid Genetic Algorithm for Solving the Bounded Diameter Minimum Spanning Tree Problem ” , in Proceedings of the IEEE Congress on Evolutionary Computation, IEEE Press June 2008
  14. Tuan Hao Hoang, R I (Bob) McKay, Daryl Essam, Xuan Haoi Nguyen, “ Developmental Evaluation in Genetic Programming: A Position Paper ” , in D Howard (eds), Proceedings of the IEEE Conference on Frontiers in the Convergence of Bioscience and Information Technologies, October 2007, Pp. 773-778
  15. Nguyen, Quang Uy, Nguyen, Xuan Hoai, McKay, Robert Ian (Bob), Pham, Minh Tuan, “ Initialising PSO with Randomized Low-Discrepancy Sequences ” , in Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC), IEEE Press Sept 25-28 2007, Pp. 1985-1992
  16. McKay, Robert Ian (Bob), Shin, Jungseok, Hoang, Tuan Hao, Nguyen, Xuan Hoai, Mori, Naoki, “ Using Compression to Understand the Distribution of Building Blocks in Genetic Programming Populations ” , in Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC), IEEE Press Sept 25-28 2007, Pp. 2501-2508
  17. Nguyen, Xuan Hoai, Nguyen, Quang Uy, McKay, Robert Ian (Bob), “ Initialising PSO with Randomized Low-Discrepancy Sequences: Some Preliminary and Comparative Results ” , in Proceedings of the 2007 ACM Genetic and Evolutionary Computation Conference(GECCO), ACM Press July 7-11 2007, Pp. 173-173
  18. Hoang, T H, McKay, R I (Bob), Essam, D L, Nguyen, X H, “ Solving Symbolic Regression Problem using Developmental Evaluation in Genetic Programming ” , in Proceedings of the 2006 IEEE Congress on Evolutionary Computation (CEC), IEEE Press July 16-21 2006, Pp. 2134-2141 Link
  19. Hoang, T H, Nguyen, X H, Nguyen, T H, McKay, R I (Bob), Essam, D, “ ORDERTREE: A New Test Problem for Genetic Programming ” , in Keijzer, M and Cattolico, M and Arnold, D and Babovic, V and Blum, C and Bosman, P and Butz M V and Coello, C and Dasgupta, D and Ficici, S G and Foster, J and Hernandez-Aguirre, A and McMinn, P and Moore, J and Raidl, G and Rothlauf, F and Ryan, C and Thierens, D (eds), Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation (GECCO 2006), 1 ACM Press July 8-12 2006, Pp. 807-814 Link
  20. Kang, M, Shin, J, Hoang, T H, McKay, R I (Bob), Essam, D, Mori, N, Nguyen, X H, “ Code Duplication and Developmental Evaluation in Genetic Programming ” , in Proceedings of the 2006 Asia-Pacific Workshop on Intelligent and Evolutionary Systems, November 2006, Pp. 181-191
  21. Min, B, Choe, C, McKay, R I (Bob), “ A Compound Approach for Football Result Prediction ” , in Proceedings of the 2006 Asia-Pacific Workshop on Intelligent and Evolutionary Systems, November 2006, Pp. 215-225
  22. Hoang, T H, Essam, D L, McKay, R I (Bob), Nguyen, X H, “ Developmental Evaluation in Genetic Programming: A TAG-based Framework ” , in Pham, T L and Le, H K and Nguyen, X H (eds), Proceedings of the 3rd Asia-Pacific Genetic Programming Workshop, October 2006, Pp. 86-97 Link
  23. McKay, R I (Bob), Nguyen, X H, Whigham, P A, Shan, Y, “ Grammars in Genetic Programming: A Brief Review ” , in Kang, L and Cai, Z and Yan, Y (eds), Progress in Intelligence Computation and Intelligence: Proceedings of the International Symposium on Intelligence, Computation and Applications, China University of Geosciences Press April 2005, Pp. 3-18
  24. McKay, R I (Bob), Mori, N, Essam, D L, Zhang, B T, “ Partitioned Selection: A Selection Operator for In-Vitro Evolution ” , in 2004 Asia-Pacific Conference on Simulated Evolution and Learning, October 2004
  25. Essam, D L, McKay, R I (Bob), “ Heritage Diversity in Genetic Programming ” , in The 5th International Conference on Simulated Evolution and Learning (SEAL 2004), October 26-29 2004
  26. Nguyen, H X, McKay, R I (Bob), Essam, D L, Abbass, H A, “ Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: the Relocation Operator ” , in 2004 International Conference on Simulated Evolution and Learning, October 2004
  27. Nguyen, H X, McKay, R I (Bob), “ An Investigation on the Roles of Insertion and Deletion Operators in Tree Adjoining Grammar Guided Genetic Programming ” , in Proceedings of the 2004 Congress on Evolutionary Computation, 1 IEEE Press June 20-23 2004, Pp. 472-477 Link
  28. Shan, Y, McKay, R I (Bob), Baxter, R, Abbass, H A, Essam, D L, Nguyen, H X, “ Grammar Model-based Program Evolution ” , in Proceedings of the 2004 IEEE Congress on Evolutionary Computation, 1 IEEE Press June 20-23 2004, Pp. 478-485 Link
  29. Kang, L, Zhou, A, McKay, R I (Bob), Li, Y, Kang, Z, “ Benchmarking Algorithms for Dynamic Travelling Salesman Problems ” , in Proceedings, Congress on Evolutionary Computation, 2 IEEE Press June 2004, Pp. 1286-1292
  30. Hoang, T H, Nguyen, X H, McKay, R I (Bob), “ Does it Matter Where you Start? A Comparison of Two Initialisation Strategies for Grammar Guided Genetic Programming ” , in McKay R I (Bob) and Cho, S B (eds), Proceedings of the 2004 Asia-Pacific Genetic Programming Workshop, December 6-7 2004 Link
  31. Shan, Y, McKay, R I (Bob), Essam, D L, Liu, J, “ Modularity and Position Independence in EDA-GP ” , in McKay, R I and Cho, S B (eds), Proceedings of the 2nd Asia-Pacific Workshop on Genetic Programming, December 6-7 2004 Link
  32. Shan, Y, McKay, R I (Bob), Abbass, H A, Essam, D L, “ Program distribution estimation with grammar models ” , in Proceedings of the 2004 Asia-Pacific Symposium on Intelligent and Evolutionary Systems, December 2004, Pp. 191-205
  33. McKay, R I (Bob), Hoang, T H, Mori, N, Nguyen, X H, Essam, D L, “ Model-Building with Interpolated Temporal Data ” , in Recknagel, F (eds), Oct 24-28 2004, Pp. 66 Link
  34. Wu, Z J, Dong, H B, Liang, Y W, McKay, R I (Bob), “ A Chromosome-based Evaluation Model for CDIS ” , in Sarker, R and Reynolds, R and Abbass, H and Tan, K C and McKay, R I (Bob) and Essam, D and Gedeon, T (eds), Proceedings, Congress on Evolutionary Computation, 2 IEEE Press December 2003, Pp. 1363-1369
  35. Shan, Y, McKay, R I (Bob), Abbass, H, Essam, D L, “ Program Evolution with Explicit Learning: A New Framework for Program Automatic Synthesis ” , in Sarker, R and Reynolds, R and Abbass, H and Tan, K C and McKay, R I (Bob) and Essam, D and Gedeon, T (eds), Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), 3 IEEE Press December 8-12 2003, Pp. 1639-1646 Link
  36. Liu, B, McKay, R I (Bob), Abbass, H A, “ Improving Genetic Classifiers with a Boosting Algorithm ” , in Proceedings, Congress on Evolutionary Computation, 4 IEEE Press December 2003, Pp. 2596-2602 Link
  37. Liu, B, Abbass, H A, McKay, R I (Bob), “ Classification Rule Discovery with Ant Colony Optimization ” , in 2003 IEEE/WIC Conference on Intelligent Agent Technologies, IEEE Press October 2003, Pp. 83-88 Link
  38. Wang, B, McKay, R I (Bob), Abbass, H A, Barlow, M, “ A Comparative Study for Domain Ontology Guided Feature Selection ” , in Proceedings of the 2003 Australian Computer Science Conference, 16 February 2003, Pp. 69-78 Link
  39. Nguyen, X H, Shan, Y, McKay, R I (Bob), “ Is Ambiguity Useful or Problematic for Grammar Guided Genetic Programming? A Case Study ” , in Wang, L and Tan, K C and Furuhashi, T and Kim, J H and Yao, X (eds), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL02), November 18-22 2002, Pp. 449-454 Link
  40. Shan, Y, McKay, R I (Bob), Paull, D, “ Building Ecological Models Using Genetic Programming ” , in Wang, L and Tan, K C and Furuhashi, T and Kim, J H and Yao, X (eds), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning, November 18-22 2002, Pp. 320-325 Link
  41. Yan, Z Y, Kang, L S, McKay, R I (Bob), Fu, P H, “ SEEA for Multi-Objective Optimisation: Reinforcing Elitist MOEA through multi-parent crossover, steady elimination strategy and swarm hill-climbing ” , in Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and Jong-Hwan Kim and Xin Yao (eds), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 1 November 2002, Pp. 21-26 Link
  42. Darbyshire, P, McKay, R I (Bob), Abbass, H A, Barlow, M, “ Bringing Intelligence to the Battlefield ” , in 4th International Conference on Modelling and Simulation, November 2002
  43. Darbyshire, P, McKay, R I (Bob), “ Using Communication to Increase Learning in a Hostile Environment ” , in 6th International Conference on Complex Systems, September 2002
  44. Shan, Y, McKay, R I (Bob), Lokan, C J, Essam, D L, “ Software Project Effort Estimation Using Genetic Programming ” , in IEEE International Conference on Communications, Circuits and Systems, 2 IEEE Press June 29-July 1 2002, Pp. 1108-1112 Link
  45. Nguyen, X H, McKay, R I (Bob), Essam, D L, “ Can Tree Adjunct Grammar Guided Genetic Programming be Good at Finding a Needle in a Haystack? A Case Study ” , in IEEE International Conference on Communications, Circuits and Systems, 2 IEEE Press July 2002, Pp. 1113-1117 Link
  46. Wang, B, McKay, R I (Bob), Abbass, H A, Barlow, M, “ Learning Text Classifier using the Domain Concept Hierarchy ” , in IEEE International Conference on Communications, Circuits and Systems, 2 IEEE Press July 2002, Pp. 1230-1234 Link
  47. Nguyen, X H, McKay, R I (Bob), Essam, D L, Chau, R M, “ Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results ” , in Fogel, D B and El-Sharkawi, M A and Yao, X and Greenwood, G and Iba, H and Marrow, P and Shackleton, M (eds), Proceedings, 2002 World Congress on Computational Intelligence, 2 IEEE Press 2002, Pp. 1326-1333 Link
  48. Abbass, H, Nguyen, X H, McKay, R I (Bob), “ AntTAG: A New Method to Compose Computer Programs Using Colonies of Ants ” , in Proceedings, 2002 World Congress on Computational Intelligence, 2 IEEE Press 2002, Pp. 1654-1666 Link
  49. Liu, B, Abbass, H, McKay, R I (Bob), “ Density-Based Heuristic for Rule Discovery with Ant-Miner ” , in Proceedings of the Australasia-Japan Workshop on Intelligent and Evolutionary Systems, 2002, Pp. 180-184
  50. Shan, Y, Abbass, H, McKay, R I (Bob), Essam, D, “ AntTAG: A Further Study ” , in Sarker, R and McKay R I (eds), Proceedings of the 6th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Nov 30 2002, Pp. 133-140 Link
  51. Clapham, N T, Barlow, M, McKay, R I (Bob), “ Toward classifying randomly asynchronous cellular automata ” , in Proceedings of the 6th International Conference on Complex Systems (CS02), 2002, Pp. 63-71
  52. Essam, D L, McKay, R I (Bob), “ Adaptive Control of Partial Functions in Genetic Programming ” , in Proceedings of the 2001 IEEE International Congress on Evolutionary Computation, 2 IEEE Press May 27-30 2001, Pp. 895-901 Link
  53. McKay, R I (Bob), Essam, D L, “ Evolving Self-Reproducing Functional Programs ” , in Proceedings of the 2001 Australian Workshop on Artificial Life, 2001, Pp. 55-68
  54. McKay, R I (Bob), Abbass, H A, “ Analysing Anti correlation in Ensemble Learning ” , in Proceedings of 2001 Conference on Artificial Neural Networks and Expert Systems, 2001, Pp. 22-27 Link
  55. McKay, R I (Bob), Abbass, H A, “ Anticorrelation Measures in Genetic Programming ” , in Kasabov, N and Whigham, P (eds), Proceedings of the Australasia-Japan Workshop on Intelligent and Evolutionary Systems, Nov 19-21 2001, Pp. 45-51 Link
  56. Clapham, N, McKay, R I (Bob), Barlow, M, “ From Synchronicity to Asynchronicity: Rhythm in Cellular Automata ” , in Post-graduate ADFA Conference on Computer Science, 2001, Pp. 81-86
  57. Nguyen, X H, McKay, R I (Bob), “ A Framework for Tree-adjunct Grammar Guided Genetic Programming ” , in Post-graduate ADFA Conference on Computer Science, 2001, Pp. 93-100
  58. McKay, R I (Bob), “ Spatial Learning using Fitness-Shared Genetic Programming ” , in Second International Conference on Ecological Modelling and Learning, 2000
  59. McKay, R I (Bob), “ Committee Learning of Partial Functions in Fitness-Shared Genetic Programming ” , in Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE Third Asia-Pacific Conference on Simulated Evolution and Learning 2000, 4 IEEE Press October 22-28 2000, Pp. 2861-2866 Link
  60. McKay, R I (Bob), “ Partial Functions in Fitness-Shared Genetic Programming ” , in Proceedings of the 2000 Congress on Evolutionary Computation, CEC00, 1 IEEE Press July 16-19 2000, Pp. 349-356 Link
  61. McKay, R I (Bob), “ Fitness Sharing in Genetic Programming ” , in Whitley, D and Goldberg, D and Cantu-Paz, E and Spector, L and Parmee, I and Beyer, H G (eds), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), Morgan Kaufmann July 10-12 2000, Pp. 435-442 Link
  62. Darbyshire, P, Abbass, H, Barlow, M, McKay, R I (Bob), “ A Prototype Design for Studying Emergent Battlefield Behaviour through Multi-Agent Simulation ” , in Japan-Australia Workshop on Intelligent and Evolutionary Systems, November 2000, Pp. 71-78
  63. McKay, R I (Bob), “ Partial Functions in Genetic Programming: Program Size and Evaluation Cost ” , in Japan-Australia Workshop on Intelligent and Evolutionary Systems, November 2000, Pp. 89-96
  64. McKay, R I (Bob), Yao, X, “ Teaching of AI-Related Subjects at ADFA ” , in Australian Joint Conference on Artificial Intelligence, July 1998
  65. McKay, R I (Bob), Pearson, R, Whigham, P, “ Learning Spatial Relationships: Some Approaches ” , in Proceedings of the Second Annual Conference of Geocomputation and SIRC'97, 2 GeoComputation CD-Rom August 26-29 1997, Pp. 69-77 Link
  66. McKay, R I (Bob), Whigham, P, “ Genetic Programming and Inductive Logic ” , in AI'94 Machine Learning Workshop, November 1994
  67. McKay, R I (Bob), “ Relational Learning for Geospatial Problems ” , in ICARCV Workshop on Spatial and Temporal Interaction: Representation and Reasoning, November 1994, Pp. 104-112
  68. McKay, R I (Bob), “ Machine Induction of Geospatial Knowledge ” , in AI'93 Machine Learning Workshop, November 1993, Pp. 11-13
  69. Wagner, M I, McKay, R I (Bob), Sampath, S, Slater, D, “ Modelling Prosody Parameters for Declarative English Sentence Structures ” , in Proceedings of V European Signal Processing Conference, EURASIP, North Holland/Elsevier July 1990, Pp. 1135-1138
  70. Wagner, M I, McKay, R I (Bob), Sampath, S, Slater, D, “ Modelling the Prosody of Simple English Sentences Using Hidden Markov Models ” , in Proceedings 3rd Australian International Conference on Speech Science & Technology SST-90, 1990, Pp. 180-185
  71. Seneviratne, A P, McKay, R I (Bob), “ An Intelligent Network Medium Access Scheme for Bus Based Local Area Networks' ” , in Proceedings of ICCC Symposium on Computer Communications '89, International Council for Computer Communications September 1989
  72. McKay, R I (Bob), Seneviratne, A P, “ Predicting LAN Traffic Loads ” , in Australian Joint Conference on Artificial Intelligence, November 1989, Pp. 287-397

Books and Conference Proceedings

  1. Gen, M. and Green, D. and Katai, O. and McKay, R. I. and Namatame, A. and Sarker, R. and Zhang, B. T. (eds), Intelligent and Evolutionary Systems, Studies in Computational Intelligence 187 Springer March 12 2009
  2. Cho, S B and Gen, M and Katai, O and Lee, C Y and McKay, R I (Bob) and Namatame, A and Sarker, R and Tsujimura, Y and Zhang, B T (eds), Proceedings of the Tenth Asia-Pacific Workshop on Intelligent and Evolutionary Systems, November 2006
  3. McKay, R I (Bob) and Nguyen, X H and Long, P T (eds), Proceedings of the Third Asia-Pacific Workshop on Genetic Programming, October 2006
  4. Corne, D and Michalewicz, Z and McKay, R I (Bob) and Dorigo, M and Eiben, G and Fogel, D and Fonseca, C and Greenwood, G and Tan, K C and Raidl, G and Zalzala, A (eds), Proceedings of the 2005 Congress on Evolutionary Computation, September 2005
  5. McKay, R I (Bob) and Cho, S B (eds), Proceedings of the 2004 Asia-Pacific Workshop on Genetic Programming, December 2004
  6. Sarker, R and Reynolds, R and Abbass, H A and Tan, K C and McKay, R I (Bob) and Essam, D L and Gedeon, T (eds), Proceedings of the 2003 Congress on Evolutionary Computation, December 2003
  7. Gen, M and Namatame, A and Katai, O and McKay, R I (Bob) and Hwang, H S and Liu, B D (eds), Proceedings of the 2003 Asia-Pacific Symposium on Intelligent and Evolutionary Systems, November 2003
  8. McKay, R I (Bob) and Slaney, J (eds), Proceedings of the 2002 Australian Artificial Intelligence Conference, Springer Lecture Note in Artificial Intelligence 2557 December 2002
  9. Sarker, R and McKay, R I (Bob) and Gen, M and Namatame, A (eds), Proceedings of the Sixth Japan-Australasia Joint Workshop on Intelligent and Evolutionary Systems, December 2002
  10. Namatame, A and Tsujimura, Y and Gen, M and McKay, R I (Bob) and Sarker, R and Yao, X (eds), Proceedings of the Fourth Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, November 2000
  11. McKay, R I (Bob) and Sarker, R and Yao, X and Namatame, A and Tsujimura, Y and Gen, M (eds), Proceedings of the Third Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, November 1999
  12. McKay, R I (Bob) and Yao, X and Newton, C S and Kim, J H and Furuhashi, T (eds), Simulated Evolution and Learning, Springer Lecture Note in Computational Intelligence 1585 November 1998
  13. McKay, R I (Bob) and Yao, X and Newton, C S and Kim, J H and Furuhashi, T (eds), Proceedings of the 1998 Asia-Pacific Conference on Simulated Evolution and Learning, 1 November 1998
  14. McKay, R I (Bob) and Yao, X and Newton, C S and Kim, J H and Furuhashi, T (eds), Proceedings of the 1998 Asia-Pacific Conference on Simulated Evolution and Learning, 2 November 1998
  15. Yao, X and Gen, M and Tsujimura, Y and McKay, R I (Bob) (eds), Proceedings of the First Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, November 1997

Edited Journal Issues, Etc.

  1. McKay, R I (Bob) and Nguyen, X H and Chen, S H (eds), KES Journal 12 IOS Press Jan 2008
  2. Abbass, H A and McKay, R I (Bob) (eds), International Journal of Computational Intelligence and Applications 2 (3) Imperial College Press 2003 Link
  3. Sarker, R and McKay, R I (Bob) (eds), KES Journal 7 (3) IOS Press July 2003 Link
  4. Yao, X and McKay, R I (Bob) (eds), Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies 15 (3) Kluwer 2001
  5. “ The Virtual Battlefield: Tools to Enable a Science of Military Conflict ” , UTS National Media Forum on Artificial Intelligence, May 2001
  6. Yao, X and Sarker, R, and McKay, R I (Bob) (eds), KES Journal 4 (3) IOS Press 2000
  7. McKay, R I (Bob) and Davis, J R (eds), AI Applications 8 (3) 1994

Technical Reports

  1. Pearson, R A, McKay, R I (Bob), “ Spatial Induction for Natural Resource Problems: A Case Study in Wildlife Density Prediction ” , School of Computer Science UNSW (CS14/94) 1994
 

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