Professor Robert Ian McKay
ANU College of Engineering, Computing and Cybernetics
Publications
- Qin, Z, Gedeon, T & McKay, R 2018, 'Why don't the modules dominate?', 2018 Genetic and Evolutionary Computation Conference, GECCO 2018, ed. Hernan Aguirre, Association for Computing Machinery (ACM), New York, NY, United States, pp. 121-122pp.
- Kim, K, McKay, R & Hoai, N 2016, 'Recursion-Based Biases in Stochastic Grammar Model Genetic Programming', IEEE Transactions on Evolutionary Computation, vol. 20, no. 1, pp. 81-95.
- Lee, J, Cho, H & McKay, R 2015, 'A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison', IEEE Transactions on Human-Machine Systems, vol. 45, no. 3, pp. 371-384.
- Noh, J, Punithan, D, Lee, H et al. 2015, 'Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy', International Journal of Software Engineering and Knowledge Engineering, vol. 25, no. 5, pp. 829-849pp.
- Picek, S, McKay, R, Santana, R et al. 2015, 'Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces', 17th Genetic and Evolutionary Computation Conference, GECCO 2015, ed. Sara Silva, Association for Computing Machinery (ACM), New York, pp. 457-464.
- Kim, M, Park, N, McKay, R et al. 2014, 'Improvement of complex and refractory ecological models: Riverine water quality modelling using evolutionary computation', Ecological Modelling, vol. 291, pp. 205-217.
- Yun, H, Ha, M & McKay, R 2014, 'VLR: A Memory-Based Optimization Heuristic', Lecture Notes in Computer Science (LNCS), vol. 8672, pp. 151-160.
- Punithan, D & McKay, R 2014, 'Phase transitions in two-dimensional daisyworld with small-world effects-A study of local and long-range couplings', Future Generation Computer Systems, vol. 33, pp. 64-80.
- Kim, K, Shan, Y, Nguyen, X et al. 2014, 'Probabilistic model building in genetic programming: a critical review', Genetic Programming and Evolvable Machines, vol. 15, no. 2, pp. 115-167.
- Uy, N, Hoai, N, O'Neill, M et al. 2013, 'On the roles of semantic locality of crossover in genetic programming', Information Sciences, vol. 235, pp. 195-213.
- Park, N, Kim, K & McKay, R 2013, 'Cutting Evaluation Costs: An Investigation into Early Termination in Genetic Programming', IEEE Congress on Evolutionary Computation CEC 2013, IEEE, USA, pp. 3291-3298.
- Santana, R, McKay, R & Lozano, J 2013, 'Symmetry in Evolutionary and Estimation of Distribution Algorithms', IEEE Congress on Evolutionary Computation CEC 2013, IEEE, USA, pp. 2053-2060.
- Kim, K & McKay, R 2013, 'Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming', IEEE Transactions on Evolutionary Computation, vol. 17, no. 3, pp. 301-320.
- Kim, M, McKay, R, Kim, K et al. 2012, 'Analysing the Effects of Diverse Operators in a Genetic Programming System', Lecture Notes in Computer Science (LNCS), vol. 7491, pp. 387-396.
- Phong, D, Uy, N, Hoai, N et al. 2012, 'Evolving approximations for the Gaussian Q-function by genetic programming with semantic based crossover', 2012 IEEE World Congress on Computational Intelligence, IEEE, Online, pp. 1-6.
- Lee, J, Cho, H & McKay, R 2012, 'Rapid Screening of Keyboard Layouts', 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Online, pp. 894-899.
- Kim, M, McKay, R, Kim, D et al. 2012, 'Evolutionary Operator Self-adaptation with Diverse Operators', Lecture Notes in Computer Science (LNCS), vol. 7244, pp. 230-241.
- Kim, K, Hoai, N & McKay, R 2012, 'Implicit Bias and Recursive Grammar Structures in Estimation of Distribution Genetic Programming', Congress on Evolutionary Computation CEC 2012, ed. Hussein Abbass, IEEE, USA.
- Nguyen, T, Nguyen, X, McKay, R et al. 2012, 'Where Should We Stop? An Investigation on Early Stopping for GP Learning', Lecture Notes in Computer Science (LNCS), vol. 7673, pp. 391-399.
- Kim, D, Jeong, K, McKay, R et al. 2012, 'Machine Learning for Predictive Management: Short and Long term Prediction of Phytoplankton Biomass using Genetic Algorithm Based Recurrent Neural Networks', International Journal of Environmental Research, vol. 6, no. 1, pp. 95-108.
- Punithan, D & McKay, R 2012, 'Evolutionary Dynamics and Ecosystems Feedback in Two Dimensional Daisy world', Artificial Life, vol. 13, pp. 91-98.
- Punithan, D, Kim, D & McKay, R 2012, 'Spatio-temporal dynamics and quantification of daisyworld in two-dimensional coupled map lattices', Ecological Complexity, vol. 12, pp. 43-57.
- Phong, D, Hoai, N, McKay, R et al. 2012, 'Evolving the Best Known Approximation to the Q Function', 14th Annual Conference on Genetic and Evolutionary Computation (GECCO 2012), Association for Computing Machinery (ACM), New York, pp. 807-812.
- Punithan, D & McKay, R 2012, 'Self-Organizing Spatio-temporal Pattern Formation in Two-Dimensional Daisyworld', Lecture Notes in Computer Science (LNCS), vol. 7166, pp. 72-83.
- Povolotskiy, A, Shin, H & McKay, R 2011, 'Hexagonal Tortoise Problem Solving using Constraint Programming', Journal of Computing Science and Engineering (JCSE), vol. 38, no. 1, pp. 27-40.
- Punithan, D, Kim, D & McKay, R 2011, 'Daisyworld in two dimensional small-world networks', 2011 Database Theory and Application,DTA 2011 and Bio-Science and Bio-Technology,BSBT 2011, Held as Part of the Future Generation Information Tech. Conf.FGIT 2011, in Conjunction with GDC 2011, Springer Link, Jeju Island, pp. 167-178.
- Kim, K, Choi, H & McKay, R 2011, 'An Integrated Framework for Suspect Investigation', International Journal on Artificial Intelligence Tools, vol. 20, no. 2, pp. 349-366pp.
- Uy, N, Hoai, N, O'Neill, M et al. 2011, 'Semantically-based crossover in genetic programming: application to real-valued symbolic regression', Genetic Programming and Evolvable Machines, vol. 12, no. 2, pp. 91-119.
- Lee, J & McKay, R 2011, 'Optimizing a personalized cellphone keypad', Lecture Notes in Computer Science (LNCS), vol. 6935, pp. 237-244.
- Kim, K, Kim, M & McKay, R 2011, 'Structural Difficulty in Estimation of Distribution Genetic Programming', 13th Annual Genetic and Evolutionary Computation Conference GECCO 2011, ed. Natalio Krasnogor, Association for Computing Machinery (ACM), New York, pp. 1459-1466.
- Lee, Y & McKay, R 2011, 'How Hard should we Run?', 13th Annual Genetic and Evolutionary Computation Conference GECCO 2011, ed. Natalio Krasnogor, Association for Computing Machinery (ACM), New York, pp. 1187-1194.
- Hoang, T, McKay, R, Essam, D et al. 2011, 'On Synergistic Interactions Between Evolution, Development and Layered Learning', IEEE Transactions on Evolutionary Computation, vol. 15, no. 3, pp. 287-312.
- Oh, I, Lee, Y & McKay, R 2011, 'Simulating chemical evolution', Congress of Evolutionary Computation CEC 2011, IEEE, On-line, pp. 2717-2724.
- Hien, N, Hoai, N & McKay, R 2011, 'A study on genetic programming with layered learning and incremental sampling', Congress of Evolutionary Computation CEC 2011, IEEE, On-line, pp. 1179-1185.
- Lee, Y, McKay, R, Kim, K et al. 2011, 'Investigating vesicular selection A selection operator in in vitro evolution', Applied Soft Computing Journal, vol. 11, no. 8, pp. 5528-5550.
- McKay, R, Hoai, N, Whigham, P et al. 2010, 'Grammar-based Genetic programming: A survey', Genetic Programming and Evolvable Machines, vol. 11, no. 3-4, pp. 365-396.
- Kim, D, Jeong, K, McKay, R et al. 2010, 'Model development in freshwater ecology with a case study using evolutionary computation', Journal of Ecology and Environment, vol. 33, no. 4, pp. 275-288.
- Kim, D, McKay, R, Shin, H et al. 2010, 'Ecological application of evolutionary computation: Improving water quality forecasts for the Nakdong River, Korea', 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010, IEEE, Barcelona.
- Kim, K, McKay, R & Moon, B 2010, 'Multiobjective evolutionary algorithms for dynamic social network clustering', Genetic and Evolutionary Computation Conference (GECCO 2010), ed. Conference Program Committee, Association for Computing Machinery Inc (ACM), New York, pp. 1179-1186.
- Kim, K, McKay, R & Punithan, D 2010, 'Sampling bias in estimation of distribution algorithms for genetic programming using prototype trees', 11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010, Springer Link, Berlin, pp. 100-111.
- Nguyen, Q, McKay, R, O'Neill, M et al. 2010, 'Self-adapting semantic sensitivities for Semantic Similarity based Crossover', 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010, IEEE, Barcelona.
- Nguyen, Q, Nguyen, X, O'Neill, M et al. 2010, 'Semantics based crossover for boolean problems', Genetic and Evolutionary Computation Conference (GECCO 2010), ed. Conference Program Committee, Association for Computing Machinery Inc (ACM), New York, pp. 869-872.
- Uy, N, Hoai, N, O�Neill, M et al. 2010, 'The role of syntactic and semantic locality of crossover in genetic programming', 11th International Conference on Parallel Problem Solving from Nature, PPSN 2010, Springer Berlin Heidelberg, Krakow, pp. 533-542pp.
- McKay, R 2009, 'A new method for simplifying algebraic expressions in genetic programming called equivalent decision simplification ', 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Conference Organising Committee, Salamanca, pp. 171-178pp.