A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems

Based on Salp Swarm Algorithm (SSA) and Slime Mould Algorithm (SMA), a novel hybrid optimization algorithm, named Hybrid Slime Mould Salp Swarm Algorithm (HSMSSA), is proposed to solve constrained engineering problems. SSA can obtain good results in solving some optimization problems. However, it is...

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Detalles Bibliográficos
Autores principales: Wang, Shuang, Liu, Qingxin, Liu, Yuxiang, Jia, Heming, Abualigah, Laith, Zheng, Rong, Wu, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440113/
https://www.ncbi.nlm.nih.gov/pubmed/34531910
http://dx.doi.org/10.1155/2021/6379469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440113/
https://www.ncbi.nlm.nih.gov/pubmed/34531910
http://dx.doi.org/10.1155/2021/6379469

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