%0 Journal Article
%A Mercadé Ruiz, Pau
%A Nava, Vincenzo
%A Topper, Mathew B.R.
%A Minguela, Pablo Ruiz
%A Ferri, Francesco
%A Kofoed, Jens Peter
%T Layout optimisation of wave energy converter arrays
%D 2017
%@ 1996-1073
%U https://hdl.handle.net/11556/3282
%X This paper proposes an optimisation strategy for the layout design of wave energy converter (WEC) arrays. Optimal layouts are sought so as to maximise the absorbed power given a minimum q-factor, the minimum distance between WECs, and an area of deployment. To guarantee an efficient optimisation, a four-parameter layout description is proposed. Three different optimisation algorithms are further compared in terms of performance and computational cost. These are the covariance matrix adaptation evolution strategy (CMA), a genetic algorithm (GA) and the glowworm swarm optimisation (GSO) algorithm. The results show slightly higher performances for the latter two algorithms; however, the first turns out to be significantly less computationally demanding.
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