Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia
Mehdi Neshat,
Seyedali Mirjalili,
Nataliia Y. Sergiienko,
Soheil Esmaeilzadeh,
Erfan Amini,
Azim Heydari and
Davide Astiaso Garcia
Energy, 2022, vol. 239, issue PE
Abstract:
Wave energy technologies have the potential to play a significant role in the supply of renewable energy worldwide. One of the most promising designs for wave energy converters (WECs) are fully submerged buoys. In this paper, we explore the optimisation of WEC arrays consisting of three-tether buoys.
Keywords: Cooperative co-evolution algorithms; Multi-swarm optimisation; Equilibrium optimisation; Multi verse optimiser; Meta-heuristics; Position optimisation; Renewable energy; Wave energy converters; Particle swarm optimization; Whale optimization algorithm; Moth-flame optimization algorithm; Algorithm; Optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221027122
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221027122
DOI: 10.1016/j.energy.2021.122463
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().