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PreviewIssue DateTitleAuthor(s)
2020Optimisation of large wave farms using a multi-strategy evolutionary frameworkNeshat, M.; Alexander, B.; Sergiienko, N.Y.; Wagner, M.; Genetic and Evolutionary Computation Conference (GECCO) (8 Jul 2020 - 12 Jul 2020 : CancĂșn, Mexico)
2019A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy convertersNeshat, M.; Alexander, B.; Sergiienko, N.; Wagner, M.; LopezIbanez, M.; GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference (13 Jul 2019 - 17 Jul 2019 : Prague, Czech Republic)
2020A hybrid cooperative co-evolution algorithm framework for optimising power take offand placements of wave energy convertersNeshat, M.; Alexander, B.; Wagner, M.
2020Design optimisation of a multi-mode wave energy converterSergiienko, N.Y.; Neshat, M.; Silva, L.S.P.D.; Alexander, B.; Wagner, M.; 39th International Conference on Ocean, Offshore and Arctic Engineering (OMAE) (3 Aug 2020 - 7 Aug 2020 : virtual online)
2018A detailed comparison of meta-heuristic methods for optimising wave energy converter placementsNeshat, M.; Alexander, B.; Wagner, M.; Xia, Y.; Aguirre, H.E.; Takadama, K.; GECCO '18: Genetic and Evolutionary Computation Conference (15 Jul 2018 - 19 Jul 2018 : Kyoto)
2021Wind turbine power output prediction using a new hybrid neuro-evolutionary methodNeshat, M.; Nezhad, M.M.; Abbasnejad, E.; Mirjalili, S.; Groppi, D.; Heydari, A.; Tjernberg, L.B.; Astiaso Garcia, D.; Alexander, B.; Shi, Q.; Wagner, M.
2020New insights into position optimization of wave energy converters using hybrid local searchNeshat, M.; Alexander, B.; Sergiienko, N.Y.; Wagner, M.