| Evolutionary Machine Learning in Finance M O’Neill, A Brabazon Handbook of Evolutionary Machine Learning, 695-713, 2023 | | 2023 |
| An exploration of asocial and social learning in the evolution of variable-length structures M O’Neill, A Brabazon 2021 IEEE Congress on Evolutionary Computation (CEC), 2307-2314, 2021 | | 2021 |
| Foraging-Inspired Optimisation Algorithms A Brabazon Springer International Publishing:, 2021 | | 2021 |
| Applications of genetic programming to finance and economics: past, present, future A Brabazon, M Kampouridis, M O’Neill Genetic Programming and Evolvable Machines 21, 33-53, 2020 | 39 | 2020 |
| Slime mould foraging: an inspiration for algorithmic design A Brabazon, S McGarraghy International Journal of Innovative Computing and Applications 11 (1), 30-45, 2020 | 8 | 2020 |
| Social learning vs self-teaching in a multi-agent neural network system N Le, A Brabazon, M O’Neill Applications of Evolutionary Computation: 23rd European Conference …, 2020 | 6 | 2020 |
| Evolutionary consequences of learning strategies in a dynamic rugged landscape N Le, M O'Neill, A Brabazon Proceedings of the Genetic and Evolutionary Computation Conference, 812-819, 2019 | 4 | 2019 |
| Business analytics capability, organisational value and competitive advantage M O’Neill, A Brabazon Journal of Business Analytics 2 (2), 160-173, 2019 | 27 | 2019 |
| Mutational robustness and structural complexity in grammatical evolution M O’Neill, A Brabazon 2019 IEEE Congress on Evolutionary Computation (CEC), 1338-1344, 2019 | 3 | 2019 |
| How learning strategies can promote an evolving population in dynamic environments N Le, ON Michael, A Brabazon 2019 IEEE Congress on Evolutionary Computation (CEC), 2284-2291, 2019 | 4 | 2019 |
| A genetic programming approach for delta hedging Z Yin, A Brabazon, C O’Sullivan, PA Hamill Genetic Programming and Evolvable Machines 20, 67-92, 2019 | 5 | 2019 |
| A survey of statistical machine learning elements in genetic programming A Agapitos, R Loughran, M Nicolau, S Lucas, M O’Neill, A Brabazon IEEE Transactions on Evolutionary Computation 23 (6), 1029-1048, 2019 | 32 | 2019 |
| The evolution of self-taught neural networks in a multi-agent environment N Le, A Brabazon, M O’Neill Applications of Evolutionary Computation: 22nd International Conference …, 2019 | 10 | 2019 |
| Foraging-inspired optimisation algorithms A Brabazon, S McGarraghy Springer, 2018 | 28 | 2018 |
| The baldwin effect reconsidered through the prism of social learning N Le, M O'Neill, A Brabazon 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 11 | 2018 |
| Economic and Financial Modeling with Genetic Programming: A Review C Tuite, M O’Neill, A Brabazon | | 2018 |
| Economic and financial modeling with genetic programming C Tuite, M O’Neill, A Brabazon The Oxford Handbook of Computational Economics and Finance, 267-289, 2018 | 1 | 2018 |
| Ant Foraging Algorithms A Brabazon, S McGarraghy, A Brabazon, S McGarraghy Foraging-Inspired Optimisation Algorithms, 171-201, 2018 | | 2018 |
| Bird Foraging Algorithms A Brabazon, S McGarraghy, A Brabazon, S McGarraghy Foraging-Inspired Optimisation Algorithms, 137-146, 2018 | | 2018 |
| Worm foraging algorithm A Brabazon, S McGarraghy, A Brabazon, S McGarraghy Foraging-Inspired Optimisation Algorithms, 253-262, 2018 | 2 | 2018 |
