Multi-strategy improved salp swarm algorithm and its application in reliability optimization.

Chen, Dongning; Liu, Jianchang; Yao, Chengyu; Zhang, Ziwei; Du, Xinwei

Chen, Dongning; Liu, Jianchang; Yao, Chengyu; Zhang, Ziwei; Du, Xinwei.

Chen D; Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, China.
Liu J; Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University), Ministry of Education of China, Qinhuangdao 066004, China.
Yao C; Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, China.
Zhang Z; Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University), Ministry of Education of China, Qinhuangdao 066004, China.
Du X; Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China.

Math Biosci Eng ; 19(5): 5269-5292, 2022 03 24.

Article en En | MEDLINE | ID: mdl-35430864

Asunto(s)

Algoritmos; Benchmarking; Simulación por Computador; Probabilidad; Reproducibilidad de los Resultados

Palabras clave

T-S fault tree; centroid opposition-based learning; salp swarm algorithm; social learning; system reliability optimization

Texto completo

Imprimir

XML

PubMed Links

Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Benchmarking Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Benchmarking Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article