A hybridizing-enhanced differential evolution for optimization

Differential evolution (DE) belongs to the most usable optimization algorithms, presented in many improved and modern versions in recent years. Generally, the low convergence rate is the main drawback of the DE algorithm. In this article, the gray wolf optimizer (GWO) is used to accelerate the conve...

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Detalles Bibliográficos
Autores principales: Ghasemi, Mojtaba, Zare, Mohsen, Trojovský, Pavel, Zahedibialvaei, Amir, Trojovská, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280462/
https://www.ncbi.nlm.nih.gov/pubmed/37346618
http://dx.doi.org/10.7717/peerj-cs.1420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280462/
https://www.ncbi.nlm.nih.gov/pubmed/37346618
http://dx.doi.org/10.7717/peerj-cs.1420

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