| Evolving patches for software repair T Ackling, B Alexander, I Grunert Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 86 | 2011 |
| Reformulated co-tree flows method competitive with the global gradient algorithm for solving water distribution system equations S Elhay, A Simpson, J Deuerlein, B Alexander, W Schilders American Society of Civil Engineers, 2014 | 51 | 2014 |
| Leak detection and topology identification in pipelines using fluid transients and artificial neural networks J Bohorquez, B Alexander, AR Simpson, MF Lambert Journal of Water Resources Planning and Management 146 (6), 04020040, 2020 | 47 | 2020 |
| A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, LB Tjernberg, ... Energy Conversion and Management 236, 114002, 2021 | 44 | 2021 |
| A detailed comparison of meta-heuristic methods for optimising wave energy converter placements M Neshat, B Alexander, M Wagner, Y Xia Proceedings of the Genetic and Evolutionary Computation Conference, 1318-1325, 2018 | 41 | 2018 |
| A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters M Neshat, B Alexander, M Wagner Information Sciences 534, 218-244, 2020 | 38 | 2020 |
| Wind turbine power output prediction using a new hybrid neuro-evolutionary method M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, D Groppi, A Heydari, ... Energy 229, 120617, 2021 | 33 | 2021 |
| Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner International Conference on Neural Information Processing, 353-366, 2019 | 33 | 2019 |
| Deep parameter optimisation on android smartphones for energy minimisation: a tale of woe and a proof-of-concept MA Bokhari, BR Bruce, B Alexander, M Wagner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 33 | 2017 |
| Gin: genetic improvement research made easy AEI Brownlee, J Petke, B Alexander, ET Barr, M Wagner, DR White Proceedings of the Genetic and Evolutionary Computation Conference, 985-993, 2019 | 30 | 2019 |
| Evolution of artistic image variants through feature based diversity optimisation B Alexander, J Kortman, A Neumann Proceedings of the Genetic and Evolutionary Computation Conference, 171-178, 2017 | 28 | 2017 |
| A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters M Neshat, B Alexander, NY Sergiienko, M Wagner Proceedings of the Genetic and Evolutionary Computation Conference, 1293-1301, 2019 | 27 | 2019 |
| Inverting magnetotelluric responses in a three-dimensional earth using fast forward approximations based on artificial neural networks D Conway, B Alexander, M King, G Heinson, Y Kee Computers & geosciences 127, 44-52, 2019 | 25 | 2019 |
| Forest-core partitioning algorithm for speeding up analysis of water distribution systems A Simpson, S Elhay, B Alexander American Society of Civil Engineers, 2014 | 25 | 2014 |
| Evolutionary image transition using random walks A Neumann, B Alexander, F Neumann International Conference on Evolutionary and Biologically Inspired Music and …, 2017 | 23 | 2017 |
| Design optimisation of a multi-mode wave energy converter NY Sergiienko, M Neshat, LSP da Silva, B Alexander, M Wagner International Conference on Offshore Mechanics and Arctic Engineering 84416 …, 2020 | 19 | 2020 |
| A New Bi-Level Optimisation Framework for Optimising a Multi-Mode Wave Energy Converter Design: A Case Study for the Marettimo Island, Mediterranean Sea M Neshat, NY Sergiienko, E Amini, M Majidi Nezhad, D Astiaso Garcia, ... Energies 13 (20), 5498, 2020 | 18 | 2020 |
| A survey of genetic improvement search spaces J Petke, B Alexander, ET Barr, AEI Brownlee, M Wagner, DR White Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 18 | 2019 |
| New insights into position optimisation of wave energy converters using hybrid local search M Neshat, B Alexander, NY Sergiienko, M Wagner Swarm and Evolutionary Computation 59, 100744, 2020 | 17 | 2020 |
| Optimisation of large wave farms using a multi-strategy evolutionary framework MW Mehdi Neshat, Bradley Alexander, Natalia Sergiienko GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation …, 2020 | 15* | 2020 |
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
