| 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 | 159 | 2021 |
| Evolving patches for software repair T Ackling, B Alexander, I Grunert Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 91 | 2011 |
| 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 | 80 | 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 | 79 | 2021 |
| 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 | 64 | 2020 |
| 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 | 57 | 2018 |
| Reformulated co-tree flows method competitive with the global gradient algorithm for solving water distribution system equations S Elhay, AR Simpson, J Deuerlein, B Alexander, WHA Schilders Journal of Water Resources Planning and Management 140 (12), 04014040, 2014 | 49 | 2014 |
| 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 | 47 | 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 | 46 | 2019 |
| Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 43 | 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 | 41 | 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 | 35 | 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 | 34 | 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 | 33 | 2020 |
| 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 | 28 | 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 | 28 | 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 | 28 | 2019 |
| Forest-core partitioning algorithm for speeding up analysis of water distribution systems AR Simpson, S Elhay, B Alexander Journal of Water Resources Planning and Management 140 (4), 435-443, 2014 | 27 | 2014 |
| Merging fluid transient waves and artificial neural networks for burst detection and identification in pipelines J Bohorquez, AR Simpson, MF Lambert, B Alexander Journal of Water Resources Planning and Management 147 (1), 04020097, 2021 | 25 | 2021 |
| Evolutionary image transition using random walks A Neumann, B Alexander, F Neumann Computational Intelligence in Music, Sound, Art and Design: 6th …, 2017 | 25 | 2017 |
Markus WagnerAssociate Professor of Computer Science, Monash University, Australia在 monash.edu 的电子邮件经过验证
