Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization

Salp swarm algorithm (SSA) is a relatively new and straightforward swarm-based meta-heuristic optimization algorithm, which is inspired by the flocking behavior of salps when foraging and navigating in oceans. Although SSA is very competitive, it suffers from some limitations including unbalanced ex...

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Detalles Bibliográficos
Autores principales: Wang, Zongshan, Ding, Hongwei, Yang, Zhijun, Li, Bo, Guan, Zheng, Bao, Liyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516494/
https://www.ncbi.nlm.nih.gov/pubmed/34764621
http://dx.doi.org/10.1007/s10489-021-02776-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516494/
https://www.ncbi.nlm.nih.gov/pubmed/34764621
http://dx.doi.org/10.1007/s10489-021-02776-7

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