An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems

Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths toward the light source is an effective approach to solve global optimization problems. However, the MFO algorithm suffers from issues such as premature convergence, low population diversity, local optima entrapm...

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Detalles Bibliográficos
Autores principales: Nadimi-Shahraki, Mohammad H., Fatahi, Ali, Zamani, Hoda, Mirjalili, Seyedali, Abualigah, Laith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700729/
https://www.ncbi.nlm.nih.gov/pubmed/34945943
http://dx.doi.org/10.3390/e23121637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700729/
https://www.ncbi.nlm.nih.gov/pubmed/34945943
http://dx.doi.org/10.3390/e23121637

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