A deep memory bare-bones particle swarm optimization algorithm for single-objective optimization problems

A deep memory bare-bones particle swarm optimization algorithm (DMBBPSO) for single-objective optimization problems is proposed in this paper. The DMBBPSO is able to perform high-precision local search while maintaining a large global search, thus providing a reliable solution to high-dimensional co...

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Detalles Bibliográficos
Autores principales: Sun, Yule, Guo, Jia, Yan, Ke, Di, Yi, Pan, Chao, Shi, Binghu, Sato, Yuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237448/
https://www.ncbi.nlm.nih.gov/pubmed/37267332
http://dx.doi.org/10.1371/journal.pone.0284170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237448/
https://www.ncbi.nlm.nih.gov/pubmed/37267332
http://dx.doi.org/10.1371/journal.pone.0284170

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