| Performance comparison of the floating and fully submerged quasi-point absorber wave energy converters NY Sergiienko, BS Cazzolato, B Ding, P Hardy, M Arjomandi Renewable Energy 108, 425-437, 2017 | 105 | 2017 |
| Feasibility study of the three-tether axisymmetric wave energy converter NY Sergiienko, A Rafiee, BS Cazzolato, B Ding, M Arjomandi Ocean Engineering 150, 221-233, 2018 | 64 | 2018 |
| Fast and effective optimisation of arrays of submerged wave energy converters J Wu, S Shekh, NY Sergiienko, BS Cazzolato, B Ding, F Neumann, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 60 | 2016 |
| Review of scaling laws applied to floating offshore wind turbines NY Sergiienko, LSP Da Silva, EE Bachynski-Polić, BS Cazzolato, ... Renewable and Sustainable Energy Reviews 162, 112477, 2022 | 57 | 2022 |
| An optimal arrangement of mooring lines for the three-tether submerged point-absorbing wave energy converter NY Sergiienko, BS Cazzolato, B Ding, M Arjomandi Renewable Energy 93, 27-37, 2016 | 55 | 2016 |
| Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia M Neshat, S Mirjalili, NY Sergiienko, S Esmaeilzadeh, E Amini, A Heydari, ... Energy 239, 122463, 2022 | 51 | 2022 |
| Assessment of wind and wave power characteristic and potential for hybrid exploration in Australia Q Gao, SS Khan, N Sergiienko, N Ertugrul, M Hemer, M Negnevitsky, ... Renewable and Sustainable Energy Reviews 168, 112747, 2022 | 46 | 2022 |
| Stochastic analysis of nonlinear wave energy converters via statistical linearization LSP Silva, NY Sergiienko, CP Pesce, B Ding, B Cazzolato, HM Morishita Applied Ocean Research 95, 102023, 2020 | 44 | 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 | 41* | 2020 |
| Dynamics of hybrid offshore renewable energy platforms: Heaving point absorbers connected to a semi-submersible floating offshore wind turbine LSP da Silva, NY Sergiienko, B Cazzolato, B Ding Renewable Energy 199, 1424-1439, 2022 | 35 | 2022 |
| Modelling and optimization of wave energy converters D Ning, B Ding CRC Press, 2022 | 35 | 2022 |
| Wave power forecasting using an effective decomposition-based convolutional Bi-directional model with equilibrium Nelder-Mead optimiser M Neshat, MM Nezhad, NY Sergiienko, S Mirjalili, G Piras, DA Garcia Energy 256, 124623, 2022 | 34 | 2022 |
| 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 | 34 | 2019 |
| Design optimisation of a multi-mode wave energy converter NY Sergiienko, M Neshat, LSP da Silva, B Alexander, M Wagner ASME 2020 39th International Conference on Ocean, Offshore and Arctic …, 2020 | 33 | 2020 |
| Co-located offshore wind–wave energy systems: Can motion suppression and reliable power generation be achieved simultaneously? F Meng, N Sergiienko, B Ding, B Zhou, LSP Da Silva, B Cazzolato, Y Li Applied Energy 331, 120373, 2023 | 30 | 2023 |
| 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 | 29 | 2020 |
| Considerations on the control design for a three-tether wave energy converter NY Sergiienko, BS Cazzolato, M Arjomandi, B Ding, LSP da Silva Ocean Engineering 183, 469-477, 2019 | 26 | 2019 |
| Nonlinear dynamics of a floating offshore wind turbine platform via statistical quadratization—Mooring, wave and current interaction LSP Silva, B Cazzolato, NY Sergiienko, B Ding Ocean Engineering 236, 109471, 2021 | 25 | 2021 |
| Multi-mode wave energy converter design optimisation using an improved moth flame optimisation algorithm M Neshat, NY Sergiienko, S Mirjalili, M Majidi Nezhad, G Piras, ... Energies 14 (13), 3737, 2021 | 25 | 2021 |
| Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework M Neshat, B Alexander, NY Sergiienko, M Wagner 2020 Genetic and Evolutionary Computation Conference, 1150–1158, 2020 | 25 | 2020 |
Ben CazzolatoProfessor, The University of AdelaideAdresse e-mail validée de adelaide.edu.au