Genetic Programming Bibliography entries for R I (Bob) McKay

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GP coauthors/coeditors: Hussein A Abbass, Nguyen Xuan Hoai, Hong-Qing Cao, Jingxian Yu, Li-Shan Kang, Ngoc Phong Dao, Quang Uy Nguyen, Daryl Essam, R Chau, Yin Shan, Tuan-Hao Hoang, Nguyen Thi Hien, Moonyoung Kang, Jungseok Shin, Naoki Mori, Dong-Kyun Kim, Haisoo Shin, Yun-Geun Lee, Kwang-Seuk Jeong, Tae-Soo Chon, Hyun Woo Kim, Gea-Jae Joo, Kangil Kim, Dharani Punithan, MinHyeok Kim, William B Langdon, Lee Spector, Peter Alexander Whigham, Shu-Heng Chen, James R Cheney, Michael O'Neill, Saori Takeuchi, Edgar Galvan Lopez, Namyong Park, Constantin Siriteanu, C J Lokan, David Paull, Rohan Baxter, Jianying Liu, John R Davis,

Genetic Programming Articles by R I (Bob) McKay

  1. Kangil Kim and R. I. (Bob) McKay and Nguyen Xuan Hoai. Recursion-Based Biases in Stochastic Grammar Model Genetic Programming. IEEE Transactions on Evolutionary Computation, 20(1):81-95, 2016. details

  2. Kangil Kim and Yin Shan and Xuan Hoai Nguyen and R. I. McKay. Probabilistic model building in genetic programming: a critical review. Genetic Programming and Evolvable Machines, 15(2):115-167, 2014. details

  3. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and R. I. McKay and Dao Ngoc Phong. On the roles of semantic locality of crossover in genetic programming. Information Sciences, 235:195-213, 2013. details

  4. Kangil Kim and Bob (R. I.) Mckay. Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming. IEEE Transactions on Evolutionary Computation, 17(3):301-320, 2013. details

  5. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and R. I. McKay and Edgar Galvan-Lopez. Semantically-based crossover in genetic programming: application to real-valued symbolic regression. Genetic Programming and Evolvable Machines, 12(2):91-119, 2011. details

  6. Tuan-Hao Hoang and R. I. McKay and Daryl Essam and Nguyen Xuan Hoai. On Synergistic Interactions Between Evolution, Development and Layered Learning. IEEE Transactions on Evolutionary Computation, 15(3):287-312, 2011. details

  7. Robert I. McKay and Nguyen Xuan Hoai and Peter Alexander Whigham and Yin Shan and Michael O'Neill. Grammar-based Genetic Programming: a survey. Genetic Programming and Evolvable Machines, 11(3/4):365-396, 2010. Tenth Anniversary Issue: Progress in Genetic Programming and Evolvable Machines. details

  8. Dong-Kyun Kim and Kwang-Seuk Jeong and Robert Ian (Bob) McKay and Tae-Soo Chon and Hyun-Woo Kim and Gea-Jae Joo. Model development in freshwater ecology with a case study using evolutionary computation. Journal of Ecology and Field Biology, 33(4):275-288, 2010. details

  9. Bob McKay and Shu-Heng Chen and Xuan Hoai Nguyen. Genetic Programming: An emerging engineering tool. International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(1):1-2, 2008. Guest Editorial. details

  10. Tuan-Hao Hoang and Daryl Essam and R. I. (Bob) McKay and Nguyen Xuan Hoai. Developmental evaluation in Genetic Programming: The TAG-based frame work. International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(1):69-82, 2008. details

  11. Y. Shan and D. Paull and R. I. McKay. Machine learning of poorly predictable ecological data. Ecological Modelling, 195(1-2):129-138, 2006. Selected Papers from the Third Conference of the International Society for Ecological Informatics (ISEI), August 26--30, 2002, Grottaferrata, Rome, Italy. details

  12. R. I. (Bob) McKay and Hoang Tuan Hao and Naoki Mori and Nguyen Xuan Hoai and Daryl Essam. Model-building with interpolated temporal data. Ecological Informics, 1(3):259-268, 2006. 4th International Conference on Ecological Informatics. details

  13. Nguyen Xuan Hoai and R. I. (Bob) McKay and Daryl Essam. Representation and Structural Difficulty in Genetic Programming. IEEE Transactions on Evolutionary Computation, 10(2):157-166, 2006. details

  14. Hongqing Cao and Jingxian Yu and Lishan Kang and R I Bob McKay. An Experimental Study of Some Control Parameters in Parallel Genetic Programming. Neural, Parallel and Scientific Computation, 11(4):377-393, 2003. details

  15. X. H. Nguyen and R. I. (Bob) McKay and D. L. Essam. 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):114-121, 2001. details

  16. R. I. (Bob) McKay. Variants of genetic programming for species distribution modelling -- fitness sharing, partial functions, population evaluation. Ecological Modelling, 146(1-3):231-241, 2001. details

  17. R. I. (Bob) McKay and Hussein A. Abbass. Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning. The Australian Journal of Intelligent Information Processing Systems, 7(3/4):139-149, 2001. details

  18. R. I. (Bob) McKay. An Investigation of Fitness Sharing in Genetic Programming. The Australian Journal of Intelligent Information Processing Systems, 7(1/2):43-51, 2001. details

Genetic Programming conference papers by R I (Bob) McKay

  1. Namyong Park and Kangil Kim and R. I. (Bob) McKay. Cutting Evaluation Costs: An Investigation into Early Termination in Genetic Programming. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 3291-3298, Cancun, Mexico, 2013. details

  2. MinHyeok Kim and Robert Ian (Bob) McKay and Dong-Kyun Kim and Xuan Hoai Nguyen. Evolutionary Operator Self-Adaptation with Diverse Operators. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 230-241, Malaga, Spain, 2012. Springer Verlag. details

  3. MinHyeok Kim and Bob McKay and Kangil Kim and Xuan Hoai Nguyen. Analysing the Effects of Diverse Operators in a Genetic Programming System. In Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors, Parallel Problem Solving from Nature, PPSN XII (part 1), volume 7491, pages 387-396, Taormina, Italy, 2012. Springer. details

  4. Dao Ngoc Phong and Nguyen Xuan Hoai and Robert Ian McKay and Constantin Siriteanu and Nguyen Quang Uy and Namyong Park. Evolving the best known approximation to the Q function. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 807-814, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  5. Thi Hien Nguyen and Xuan Hoai Nguyen and Bob McKay and Quang Uy Nguyen. Where Should We Stop? An Investigation on Early Stopping for GP Learning. In Lam Thu Bui and Yew-Soon Ong and Nguyen Xuan Hoai and Hisao Ishibuchi and Ponnuthurai Nagaratnam Suganthan editors, The Ninth International Conference on Simulated Evolution And Learning, SEAL 2012, volume 7673, pages 391-399, Vietnam, 2012. Springer. details

  6. Kangil Kim and Bob (R. I) McKay and Nguyen Xuan Hoai. Implicit Bias in Grammar-based Estimation of Distribution Genetic Programming: The Effects of Recursive Structure. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2373-2380, Brisbane, Australia, 2012. details

  7. Ngoc Phong Dao and Quang Uy Nguyen and Xuan Hoai Nguyen and R I (Bob) McKay. Evolving Approximations for the Gaussian Q-function by Genetic Programming with Semantic Based Crossover. In Xiaodong Li editor, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, pages 2515-2520, Brisbane, Australia, 2012. details

  8. Thi Hien Nguyen and Xuan Hoai Nguyen and Robert Ian McKay. A Study on Genetic Programming with Layered Learning and Incremental Sampling. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 1184-1190, New Orleans, USA, 2011. IEEE Press. details

  9. Kangil Kim and Min Hyeok Kim and Bob McKay. Structural difficulty in estimation of distribution genetic programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1459-1466, Dublin, Ireland, 2011. ACM. details

  10. MinHyeok Kim and Robert Ian (Bob) McKay and Nguyen Xuan Hoai and Kangil Kim. Operator Self-Adaptation in Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 215-226, Turin, Italy, 2011. Springer Verlag. details

  11. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and Bob McKay. The Role of Syntactic and Semantic Locality of Crossover in Genetic Programming. In Robert Schaefer and Carlos Cotta and Joanna Kolodziej and Guenter Rudolph editors, PPSN 2010 11th International Conference on Parallel Problem Solving From Nature, volume 6239, pages 533-542, Krakow, Poland, 2010. Springer. details

  12. Nguyen Quang Uy and Bob McKay and Michael O'Neill and Nguyen Xuan Hoai. Self-Adapting Semantic Sensitivities for Semantic Similarity Based Crossover. In 2010 IEEE World Congress on Computational Intelligence, pages 4034-4040, Barcelona, Spain, 2010. IEEE Press. details

  13. Kangil Kim and R. I. (Bob) McKay and Dharani Punithan. Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees. In Byoung-Tak Zhang and Mehmet A. Orgun editors, PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings, volume 6230, pages 100-111, 2010. Springer. details

  14. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and Bob McKay. Semantics Based Crossover for Boolean Problems. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 869-876, Portland, Oregon, USA, 2010. ACM. details

  15. Dong-Kyun Kim and Bob Mckay and Haisoo Shin and Yun-Geun Lee and Xuan Hoai Nguyen. Ecological application of evolutionary computation: Improving water quality forecasts for the Nakdong River, Korea. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  16. Nguyen Quang Uy and Nguyen Xuan Hoai and Michael O'Neill and Bob McKay and Edgar Galvan-Lopez. An Analysis of Semantic Aware Crossover. In Zhihua Cai and Zhenhua Li and Zhuo Kang and Yong Liu editors, Proceedings of the International Symposium on Intelligent Computation and Applications, volume 51, pages 56-65, 2009. Springer. details

  17. Nguyen Quang Uy and Michael O'Neill and Xuan Hoai Nguyen and Bob McKay and Edgar Galvan Lopez. Semantic Similarity based Crossover in GP: The case for Real-valued Function Regression. In Pierre Collet and Nicolas Monmarche and Pierrick Legrand and Marc Schoenauer and Evelyne Lutton editors, 9th International Conference, Evolution Artificielle, EA 2009, volume 5975, pages 170-181, Strasbourg, France, 2009. Springer. Revised Selected Papers. details

  18. Naoki Mori and Bob McKay and Nguyen Xuan Hoai and Daryl Essam and Saori Takeuchi. A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification. In Sigeru Omatu and Miguel P. Rocha and Jose Bravo and Florentino Fernandez and Emilio Corchado and Andres Bustillo and Juan M. Corchado editors, Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, volume 5518, pages 171-178, Salamanca, Spain, 2009. Springer. 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops. details

  19. Robert I. McKay and Xuan Hoai Nguyen and James R. Cheney and MinHyeok Kim and Naoki Mori and Tuan Hao Hoang. Estimating the distribution and propagation of genetic programming building blocks through tree compression. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1011-1018, Montreal, 2009. ACM. details

  20. Tuan Hao Hoang and R. I. (Bob) McKay and Daryl Essam and Nguyen Xuan Hoai. Learning General Solutions through Multiple Evaluations during Development. In Gregory Hornby and Luk\'as Sekanina and Pauline C. Haddow editors, Proceedings of the 8th International Conference Evolvable Systems: From Biology to Hardware, ICES 2008, volume 5216, pages 201-212, Prague, Czech Republic, 2008. Springer. details

  21. Jungseok Shin and Moonyoung Kang and Bob McKay and Xuan Nguyen and Tuan-Hao Hoang and Naoki Mori and Daryl Essam. Analysing the Regularity of Genomes using Compression and Expression Simplification. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 251-260, Valencia, Spain, 2007. Springer. details

  22. Tuan Hao Hoang and Daryl Essam and Bob McKay and Nguyen Xuan Hoai. Building on Success in Genetic Programming: Adaptive Variation and Developmental Evaluation. In Lishan Kang and Yong Liu and Sanyou Y. Zeng editors, Proceedings of the Second International Symposium on Computation and Intelligence, ISICA 2007, volume 4683, pages 137-146, Wuhan, China, 2007. Springer. details

  23. Robert Ian (Bob) McKay and Jungseok Shin and Tuan Hao Hoang and Xuan Hoai Nguyen and Naoki Mori. Using Compression to Understand the Distribution of Building Blocks in Genetic Programming Populations. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 2501-2508, Singapore, 2007. IEEE Press. details

  24. Tuan-Hao Hoang and Daryl Essam and Robert Ian (Bob) McKay and Xuan Hoai Nguyen. Building on Success in Genetic Programming:Adaptive Variation \& Developmental Evaluation. In Proceedings of the 2007 International Symposium on Intelligent Computation and Applications (ISICA), Wuhan, China, 2007. China University of Geosciences Press. details

  25. Tuan-Hao Hoang and R. McKay and D. Essam and Xuan Hoai Nguyen. Developmental Evaluation in Genetic Programming: A Position Paper. In Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007, pages 773-778, Jeju City, Korea, 2007. IEEE Press. details

  26. Robert Ian McKay and Tuan Hao Hoang and Daryl Leslie Essam and Xuan Hoai Nguyen. Developmental Evaluation in Genetic Programming: the Preliminary Results. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 280-289, Budapest, Hungary, 2006. Springer. details

  27. Moonyoung Kang and Jungseok Shin and Tuan Hao Hoang and R. I. (Bob) McKay and Daryl Essam and Naoki Mori and Xuan Hoai Nguyen. Code Duplication and Developmental Evaluation in Genetic Programming. In Proceedings of the 2006 Asia-Pacific Workshop on Intelligent and Evolutionary Systems, pages 181-191, Seoul, Korea, 2006. details

  28. Tuan-Hao Hoang and Daryl Essam and R. I. (Bob) McKay and Xuan Hoai Nguyen. Solving Symbolic Regression Problems using Incremental Evaluation in Genetic Programming. In Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 7487-7494, Vancouver, 2006. IEEE Press. details

  29. Tuan-Hao Hoang and Daryl Essam and R. I. McKay and Xuan Hoai Nguyen. Developmental evaluation in genetic programming: A TAG-based framework. In The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen editors, Proceedings of the Third Asian-Pacific workshop on Genetic Programming, pages 86-97, Military Technical Academy, Hanoi, VietNam, 2006. details

  30. Tuan-Hao Hoang and Nguyen Xuan Hoai and Nguyen Thi Hien and R I McKay and Daryl Essam. ORDERTREE: a new test problem for genetic programming. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 807-814, Seattle, Washington, USA, 2006. ACM Press. details

  31. Nguyen Xuan Hoai and Robert I. McKay and Daryl Essam and Hoang Tuan Hao. Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 108-119, Lausanne, Switzerland, 2005. Springer. details

  32. R. I. (Bob) McKay and X. H. Nguyen and P. A. Whigham and Y. Shan. Grammars in Genetic Programming: A Brief Review. In L. Kang and Z. Cai and Y. Yan editors, Progress in Intelligence Computation and Intelligence: Proceedings of the International Symposium on Intelligence, Computation and Applications, pages 3-18, Wuhan, PRC, 2005. China University of Geosciences Press. details

  33. Yin Shan and Robert I. McKay and Rohan Baxter and Hussein Abbass and Daryl Essam and Nguyen Xuan Hoai. Grammar Model-based Program Evolution. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 478-485, Portland, Oregon, 2004. IEEE Press. details

  34. Nguyen Xuan Hoai and R. I. (Bob) McKay and Daryl Essam and Hussein Abbass. Toward an Alternative Comparison between Different Genetic Programming Systems. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 67-77, Coimbra, Portugal, 2004. Springer-Verlag. details

  35. Nguyen Xuan Hoai and Robert Ian McKay. An Investigation on the Roles of Insertion and Deletion Operators in Tree Adjoining Grammar Guided Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 472-477, Portland, Oregon, 2004. IEEE Press. details

  36. Nguyen Xuan Hoai and R. I. McKay. Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 605-616, Seattle, WA, USA, 2004. Springer-Verlag. details

  37. Yin Shan and Robert I. McKay and Daryl Essam and Jianying Liu. Modularity and Position Independence in EDA-GP. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, Cairns, Australia, 2004. details

  38. Y. Shan and R. I. (Bob) McKay and H. A. Abbass and D. L. Essam. Program distribution estimation with grammar models. In Proceedings of the 2004 Asia-Pacific Symposium on Intelligent and Evolutionary Systems, pages 191-205, Cairns, Australia, 2004. details

  39. Xuan Hoai Nguyen and R. I. (Bob) McKay and D. L. Essam and H. A. Abbass. Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: the Relocation Operator. In 2004 Asia-Pacific Conference on Simulated Evolution and Learning, Busan, Korea, 2004. details

  40. R. I. McKay and Hoang Tuan Hao and Naoki Mori and Nguyen Xuan Hoai and Daryl Essam. Model-Building with Interpolated Temporal Data. In F. Recknagel editor, Proceedings of The Conference of the International Society for Ecological Informatics (ISEI04), Busan, Korea, 2004. details

  41. Hoang Tuan Hao and Nguyen Xuan Hoai and Robert I McKay. Does it Matter Where you Start? A Comparison of Two Initialisation Strategies for Grammar Guided Genetic Programming. In R I Mckay and Sung-Bae Cho editors, Proceedings of The Second Asian-Pacific Workshop on Genetic Programming, Cairns, Australia, 2004. details

  42. Daryl Essam and R. I. (Bob) McKay. Heritage Diversity in Genetic Programming. In The 5th International Conference on Simulated Evolution And Learning (SEAL'04), Busan, Korea, 2004. details

  43. Nguyen Xuan Hoai and R. I. McKay and H. A. Abbass. Tree Adjoining Grammars, Language Bias, and Genetic Programming. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 335-344, Essex, 2003. Springer-Verlag. details

  44. Y. Shan and R. I. McKay and H. A. Abbass and D. Essam. Program evolution with explicit learning: a New Framework for Program Automatic Synthesis. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 1639-1646, Canberra, 2003. IEEE Press. details

  45. Yin Shan and Robert Ian McKay and David Paull. Building Ecological Models Using Genetic Programming. In Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and Jong-Hwan Kim and Xin Yao editors, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02), Orchid Country Club, Singapore, 2002. details

  46. Y. Shan and R. I. McKay and C. J. Lokan and D. L. Essam. Software Project Effort Estimation Using Genetic Programming. In IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions, volume 2, pages 1108-1112, 2002. details

  47. Y. Shan and H. Abbass and R. I. McKay and D. Essam. AntTAG: a Further Study. In Ruhul Sarker and Bob McKay editors, Proceedings of the Sixth Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Australian National University, Canberra, Australia, 2002. details

  48. N. X. Hoai and R. I. McKay and D. Essam and R. Chau. Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1326-1331, 2002. IEEE Press. details

  49. Nguyen Xuan Hoai and Yin Shan and Robert Ian McKay. Is Ambiguity Useful or Problematic for Grammar Guided Genetic Programming?. In Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and Jong-Hwan Kim and Xin Yao editors, Procedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02), pages 449-454, Orchid Country Club, Singapore, 2002. details

  50. Nguyen Xuan Hoai and R. I. McKay and D. Essam. Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 228-237, Kinsale, Ireland, 2002. Springer-Verlag. details

  51. X. H. Nguyen and R. I. (Bob) McKay and D. L. Essam. 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, volume 2, pages 1113-1117, Chengdu, China, 2002. IEEE Press. details

  52. H. Abbass and N. X. Hoai and R. I. (Bob) McKay. AntTAG: A New Method to Compose Computer Programs Using Colonies of Ants. In Proceedings, 2002 World Congress on Computational Intelligence, volume 2, pages 1654-1666, 2002. IEEE Press. details

  53. Robert McKay and Hussein Abbass. Anticorrelation Measures in Genetic Programming. In Nikola Kasabov and Peter Whigham editors, Australasia-Japan Workshop on Intelligent and Evolutionary Systems, pages 45-51, University of Otago, Dunedin, New Zealand, 2001. details

  54. Daryl Essam and R. I. Bob McKay. Adaptive Control of Partial Functions in Genetic Programming. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 895-901, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  55. X. H. Nguyen and R. I. (Bob) McKay. A Framework for Tree-adjunct Grammar Guided Genetic Programming. In Post-graduate ADFA Conference on Computer Science, pages 93-100, Canberra, Australia, 2001. details

  56. R. I. (Bob) McKay and D. L. Essam. Evolving Self-Reproducing Functional Programs. In Proceedings of the 2001 Australian Workshop on Artificial Life, pages 55-68, Adelaide, Australia, 2001. details

  57. Bob McKay. Partial Functions in Fitness-Shared Genetic Programming. In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, volume 1, pages 349-356, La Jolla Marriott Hotel La Jolla, California, USA, 2000. IEEE Press. details

  58. R. I. (Bob) McKay. Partial Functions in Genetic Programming: Program Size and Evaluation Cost. In Japan-Australia Workshop on Intelligent and Evolutionary Systems, pages 89-96, Yokosuka, Japan, 2000. details

  59. R I (Bob) McKay. Fitness Sharing in Genetic Programming. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 435-442, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  60. R. I. (Bob) McKay. Spatial Learning using Fitness-Shared Genetic Programming. In Second International Conference on Ecological Modelling and Learning, Adelaide, Australia, 2000. details

  61. R. I. (Bob) McKay. 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, volume 4, pages 2861-2866, Nagoya, Japan, 2000. IEEE Press. details

  62. R. I. (Bob) McKay and P. Whigham. Genetic Programming and Inductive Logic. In AI'94 Machine Learning Workshop, Armidale, Australia, 1994. details

Genetic Programming book chapters by R I (Bob) McKay

  1. William B. Langdon and Robert I. McKay and Lee Spector. Genetic Programming. In Michel Gendreau and Jean-Yves Potvin editors, Handbook of Metaheuristics, volume 146 of International Series in Operations Research \& Management Science, chapter 7, pages 185-225. Springer, 2010. details

  2. Bob McKay. Evolutionary Algorithms. In Sven Erik Jorgensen and Brian Fath editors, Encyclopedia of Ecology, pages 1464-1472. Academic Press, Oxford, 2008. details

  3. Yin Shan and Robert I. McKay and Daryl Essam and Hussein A. Abbass. A Survey of Probabilistic Model Building Genetic Programming. In M. Pelikan and K. Sastry and E. Cantu-Paz editors, Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications, volume 33 of Studies in Computational Intelligence, chapter 6, pages 121-160. Springer, 2006. details

  4. Tuan Hao Hoang and Nguyen Xuan Hoai and R. I. (Bob) McKay and Daryl Essam. The Importance of Local Search: A Grammar Based Approach to Environmental Time Series Modelling. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 11, pages 159-175. Springer, Ann Arbor, 2005. details

  5. X. H. Nguyen and R. I. (Bob) McKay and D. L. Essam. Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming. In A. Abraham and L. Jain and B. J. van der Zwaag editors, Innovations in Intelligent Systems and Applications, volume 140 of Springer Studies in Fuzziness and Soft Computing, pages 221-236. Springer-Verlag, Berlin, Germany, 2004. details

  6. P. A. Whigham and R. I. McKay. Genetic approaches to learning recursive relations. In Xin Yao editor, Progress in Evolutionary Computation, volume 956 of Lecture Notes in Artificial Intelligence, pages 17-27. Springer-Verlag, 1995. details

  7. P. A. Whigham and R. I. (Bob) McKay and J. R. Davis. Machine Induction of Geospatial Knowledge. In A. U. Frank and I. Campari and U. Formentini editors, Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, volume 639 of Springer Lecture Notes in Computer Science, pages 402-417. Springer-Verlag, Pisa, Italy, 1992. details

Genetic Programming technical reports by R I (Bob) McKay

Genetic Programming etc R I (Bob) McKay

  1. R. I. (Bob) McKay. Complexity in Genetic Programming: Using Entropy and Compression Metrics to Understand GP Behaviour. Keynote Address. 2007. details

  2. R. I. (Bob) McKay. A Research Introduction to Genetic Programming. Keynote Address. 2006. details

  3. R. I. (Bob) McKay. Using Human Speech Structures to Model Reality: Grammars in Genetic Programming. Keynote Address. 2005. details

  4. R. I. (Bob) McKay. Machine Learning with Genetic Programming: Some Challenges. Keynote Address. 2003. details

  5. R. I. (Bob) McKay. Inspirations from Nature: Evolution and Complexity. 2002. details

  6. R. I. (Bob) McKay. Complexity and Hierarchy in Natural and Artificial Systems. Keynote Address. 2001. details