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. Byungho Min, Jinhyuck Kim, Chongyoun Choe, Hyeonsang Eom, Bob McKay, “ A Compound Framework for Sports Results Prediction: A Football Case Study ” , Knowledge Based Systems to appear 2008
  2. 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
  3. Hoang, Tuan-Hao, Essam, Daryl, RI (Bob), McKay, Hoai, Nguyen Xuan, “ 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
  4. Bob McKay, Daryl Essam, Tuan-Hao Hoang, Xuan Haoi Nguyen, “ Evolution, Development and Fitness in Genetic Programming: A Position Paper ” , Soft Computing (in review) 2008
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Yao, X, McKay, R I (Bob), “ Simulated Evolution and Learning: An Introduction ” , Applied Intelligence 15 (3) 2001, Pp. 151-152 Link
  20. McKay, R I (Bob), Sarker, R, Yao, X, “ Intelligent and Evolutionary Systems: An Introduction ” , KES Journal 4 2000, Pp. 1-2
  21. McKay, R I (Bob), Davis, J R, “ Artificial Intelligence in the Natural World ” , AI Applications 8 (3) 1994, Pp. 1-2

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. McKay, R I (Bob), “ Evolutionary Algorithms ” , in The Encyclopaedia of Ecology, Elsevier July 2008 Link
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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 Note in Computer Science 2610 Springer-Verlag February 19 2004, Pp. 157-183 Link
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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 Asia-Pacific Conference on Simulated Evolution and Learning, October 2004
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. Darbyshire, P, McKay, R I (Bob), “ Using Communication to Increase Learning in a Hostile Environment ” , in 6th International Conference on Complex Systems, September 2002
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. McKay, R I (Bob), “ Spatial Learning using Fitness-Shared Genetic Programming ” , in Second International Conference on Ecological Modelling and Learning, 2000
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. McKay, R I (Bob), Yao, X, “ Teaching of AI-Related Subjects at ADFA ” , in Australian Joint Conference on Artificial Intelligence, July 1998
  53. 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
  54. McKay, R I (Bob), Whigham, P, “ Genetic Programming and Inductive Logic ” , in AI'94 Machine Learning Workshop, November 1994
  55. 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
  56. McKay, R I (Bob), “ Machine Induction of Geospatial Knowledge ” , in AI'93 Machine Learning Workshop, November 1993, Pp. 11-13
  57. 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
  58. 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
  59. 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
  60. 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. Cho, S B and Gen, M and Kata, 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
  2. 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
  3. 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
  4. McKay, R I (Bob) and Cho, S B (eds), Proceedings of the 2004 Asia-Pacific Workshop on Genetic Programming, December 2004
  5. 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
  6. 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
  7. McKay, R I (Bob) and Slaney, J (eds), Advances in Artificial Intelligence, Springer Lecture Note in Artificial Intelligence 2557 December 2002
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  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, 2 November 1998
  14. 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 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
 

Last update: Bob McKay — Tue Jul 29 20:02:30 KST 2008


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