A module classification method for light industrial equipment based on improved NSGA2-FCM algorithm

In response to the problem that it is easy to fall into local optimum when using the traditional clustering algorithm to divide the modules, this paper improves the initialisation strategy of the NSGA2 algorithm and combines it with the FCM algorithm to propose an improved NSGA2-FCM algorithm for cl...

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Detalles Bibliográficos
Autores principales: Zheng, Hui, Guo, Hanwen, Pang, Tonglin, Guo, Zijian, Guo, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447435/
https://www.ncbi.nlm.nih.gov/pubmed/37612438
http://dx.doi.org/10.1038/s41598-023-39116-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447435/
https://www.ncbi.nlm.nih.gov/pubmed/37612438
http://dx.doi.org/10.1038/s41598-023-39116-3

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