Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization

In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic algorithm inspired by advanced physics principles regarding stability and different modes of particle decay. Twenty unconstrained mathematical test functions are utilized in different dimensions to evaluate the propose...

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Detalles Bibliográficos
Autores principales: Azizi, Mahdi, Aickelin, Uwe, A. Khorshidi, Hadi, Baghalzadeh Shishehgarkhaneh, Milad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816156/
https://www.ncbi.nlm.nih.gov/pubmed/36604589
http://dx.doi.org/10.1038/s41598-022-27344-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816156/
https://www.ncbi.nlm.nih.gov/pubmed/36604589
http://dx.doi.org/10.1038/s41598-022-27344-y

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