Saber T, Lynch D, Fagan D, Kucera S, Claussen H, O'Neill M.  2020.  Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. IEEE Congress on Evolutionary Computation .

Lynch D, McDermott J, O'Neill M.  2020.  Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. Parallel Problem Solving from Nature – PPSN XVI.

Lynch D, Fenton M, Fagan D, Kucera S, Claussen H, O'Neill M.  2019.  Automated Self-Optimization in Heterogeneous Wireless Communications Networks. IEEE/ACM Transactions on Networking. PP:1-14.

O'Neill M, Brabazon A.  2019.  Business analytics capability, organisational value and competitive advantage. Journal of Business Analytics. 2:1-14.

Saber T, Gandibleux X, O'Neill M, Murphy L, Ventresque A.  2019.  A comparative study of multi-objective machine reassignment algorithms for data centres . Journal of Heuristics.

Le N, Brabazon A, O'Neill M.  2019.  The Evolution of Self-taught Neural Networks in a Multi-agent Environment. EvoApplications 2019.

Le N, O'Neill M, Brabazon A.  2019.  Evolutionary Consequences of Learning Strategies in a Dynamic Rugged Landscape.

Lynch D, Saber T, Kucera S, Claussen H, O'Neill M.  2019.  Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks.

Le N, O'Neill M, Brabazon A.  2019.  How Learning Strategies Can Promote an Evolving Population in Dynamic Environments. 2019 IEEE Congress on Evolutionary Computation (CEC).

Saber T, Fagan D, Lynch D, Kucera S, Claussen H, O'Neill M.  2019.  A Multi-Level Grammar Approach to Grammar-Guided Genetic Programming: The case of Scheduling in Heterogeneous Networks. Genetic Programming and Evolvable Machines.

Connor M, Fagan D, O'Neill M.  2019.  Optimising Team Sport Training Plans With Grammatical Evolution. 2019 IEEE Congress on Evolutionary Computation (CEC).

Ryan C, O'Neill M, Collins JJ.  2018.  Handbook of Grammatical Evolution. Handbook of Grammatical Evolution.

Cody-Kennedy B, O'Neill M.  2018.  Investigating the Evolvability of Web Page Load Time. EvoApps18.

Cody-Kenny B, Manganiello U, Farrelly J, Ronayne A, Considine E, McGuire T, O'Neill M.  2018.  Investigating the Evolvability of Web Page Load Time. Applications of Evolutionary Computation.

Saber T, Fagan D, Lynch D, Kucera S, Claussen H, O'Neill M.  2018.  Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. Genetic Programming.

Cody-Kenny B, O'Neill M, Barrett S.  2018.  Performance localisation.

Chu THuong, Uy N.Quang, O'Neill M.  2018.  Semantic tournament selection for genetic programming based on statistical analysis of error vectors. Information Sciences. 436-437:352-366.

Fenton M, Lynch D, Fagan D, Kucera S, Claussen H, O'Neill M.  2018.  Towards Automation & Augmentation of the Design of Schedulers for Cellular Communications Networks. Proceedings of the Genetic and Evolutionary Computation Conference Companion.

Forstenlechner S, Fagan D, Nicolau M, O'Neill M.  2018.  Towards Effective Semantic Operators for Program Synthesis in Genetic Programming. Proceedings of the Genetic and Evolutionary Computation Conference.

Loughran R, O'Neill M.  2017.  Clustering Agents for the Evolution of Autonomous Musical Fitness. Computational Intelligence in Music, Sound, Art and Design.

Lynch D, Fenton M, Kucera S, Claussen H, O'Neill M.  2017.  Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm.

Fagan D., Fenton M., Lynch D., Kucera S., Claussen H., O'Neill M.  2017.  Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. 2017 International Joint Conference on Neural Networks (IJCNN).

Borlikova G, O'Neill M, Smith L, Phillips M.  2017.  Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials.

Fagan D, O'Neill M.  2017.  Exploring Target Change Related Fitness Reduction in the Moving Point Dynamic Environment. Theory and Practice of Natural Computing.

Cody-Kenny B, Fenton M, O'Neill M.  2017.  From Problem Landscapes to Language Landscapes: Questions in Genetic Improvement. Proceedings of the Genetic and Evolutionary Computation Conference Companion.