Cuckoo optimization algorithm via Grey Wolf Optimizer for usage in engineering optimization and optimal power flow with renewable energy sources

Optimal Power Flow (OPF) is a critical challenge in electrical engineering, necessitating efficient and resilient optimization techniques for successful power distribution management. This study presents COGWO, an innovative hybrid metaheuristic that integrates the Grey Wolf Optimizer (GWO) with the...

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Vydáno v:	Scientific reports Ročník 15; číslo 1; s. 37629 - 37
Hlavní autoři:	Abbassi, Rabeh, Trojovský, Pavel, Mansor, Zulkefli, Trojovská, Eva, Kchaou, Mourad, Zuščák, Tomáš, Jerbi, Houssem, Naveen, Palanichamy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 28.10.2025 Nature Publishing Group Nature Portfolio
Témata:	639/166 639/4077 639/705 Algorithms Alternative energy sources Archives & records COGWO Convergence Cuckoo optimization algorithm Electrical engineering Energy consumption Engineering optimization Genetic algorithms Grey Wolf Optimizer Humanities and Social Sciences Multi-objective OPF multidisciplinary Optimization algorithms Optimization techniques Parameter estimation Renewable energy sources Renewable energy sources (RESs) Renewable resources Science Science (multidisciplinary) Cuckoo optimization algorithm Multi-objective OPF Grey Wolf Optimizer Renewable energy sources (RESs) COGWO Engineering optimization
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
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