A Hybrid Multi-Objective Particle Swarm Optimization with Central Control Strategy

In recent years, researchers have solved the multi-objective optimization problem by making various improvements to the multi-objective particle swarm optimization algorithm. However, we propose a hybrid multi-objective particle swarm optimization (CCHMOPSO) with a central control strategy. In this...

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Detalles Bibliográficos
Autores principales: Yang, Meilan, Liu, Yanmin, Yang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926491/
https://www.ncbi.nlm.nih.gov/pubmed/35310587
http://dx.doi.org/10.1155/2022/1522096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926491/
https://www.ncbi.nlm.nih.gov/pubmed/35310587
http://dx.doi.org/10.1155/2022/1522096

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