An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems

An electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm is proposed in this paper. The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A tr...

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Detalles Bibliográficos
Autores principales: Tian, Hao, Guo, Jia, Xiao, Haiyang, Yan, Ke, Sato, Yuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312387/
https://www.ncbi.nlm.nih.gov/pubmed/35877651
http://dx.doi.org/10.1371/journal.pone.0271925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312387/
https://www.ncbi.nlm.nih.gov/pubmed/35877651
http://dx.doi.org/10.1371/journal.pone.0271925

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