Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications

The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is applied to solve complex real-world optimization problems in numerous domains. MFO and its variants are easy to understand and simple to operate. However, these algorithms have successfully solved optimizatio...

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Detalles Bibliográficos
Autores principales: Sahoo, Saroj Kumar, Saha, Apu Kumar, Ezugwu, Absalom E., Agushaka, Jeffrey O., Abuhaija, Belal, Alsoud, Anas Ratib, Abualigah, Laith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Survey Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422949/
https://www.ncbi.nlm.nih.gov/pubmed/36059575
http://dx.doi.org/10.1007/s11831-022-09801-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422949/
https://www.ncbi.nlm.nih.gov/pubmed/36059575
http://dx.doi.org/10.1007/s11831-022-09801-z

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