Fuzzy Strategy Grey Wolf Optimizer for Complex Multimodal Optimization Problems

Traditional grey wolf optimizers (GWOs) have difficulty balancing convergence and diversity when used for multimodal optimization problems (MMOPs), resulting in low-quality solutions and slow convergence. To address these drawbacks of GWOs, a fuzzy strategy grey wolf optimizer (FSGWO) is proposed in...

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Detalles Bibliográficos
Autores principales: Qin, Hua, Meng, Tuanxing, Cao, Yuyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459977/
https://www.ncbi.nlm.nih.gov/pubmed/36080878
http://dx.doi.org/10.3390/s22176420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459977/
https://www.ncbi.nlm.nih.gov/pubmed/36080878
http://dx.doi.org/10.3390/s22176420

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