Optimization of hydropower energy generation by 14 robust evolutionary algorithms

The use of evolutionary algorithms (EAs) for solving complex engineering problems has been very promising, so the application of EAs for optimal operation of hydropower reservoirs can be of great help. Accordingly, this study investigates the capability of 14 recently-introduced robust EAs in optimi...

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Detalles Bibliográficos
Autores principales: Sharifi, Mohammad Reza, Akbarifard, Saeid, Madadi, Mohamad Reza, Qaderi, Kourosh, Akbarifard, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095717/
https://www.ncbi.nlm.nih.gov/pubmed/35545656
http://dx.doi.org/10.1038/s41598-022-11915-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095717/
https://www.ncbi.nlm.nih.gov/pubmed/35545656
http://dx.doi.org/10.1038/s41598-022-11915-0

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