Individual different state-based multi-swarm particle swarm optimization

Particle swarm optimization (PSO) is a renowned stochastic optimization algorithm that has attracted extensive attention from researchers worldwide. However, most PSO variants suffer from slow convergence and are susceptible to local optima. In this article, an individual different state-based multi...

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Principais autores:	Qinghao Xu, Dongping Tian, Yafeng Li, Jie Sun, Mengchao Pu, Qiu Xu, Zhongzhi Shi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2026-02-01
coleção:	PeerJ Computer Science
Assuntos:	Particle swarm optimization Multi-swarm Inertia weight Quasi-Newton method
Acesso em linha:	https://peerj.com/articles/cs-3561.pdf
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