Predominant Cognitive Learning Particle Swarm Optimization for Global Numerical Optimization

Particle swarm optimization (PSO) has witnessed giant success in problem optimization. Nevertheless, its optimization performance seriously degrades when coping with optimization problems with a lot of local optima. To alleviate this issue, this paper designs a predominant cognitive learning particl...

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Autors principals:	Qiang Yang, Yufei Jing, Xudong Gao, Dongdong Xu, Zhenyu Lu, Sang-Woon Jeon, Jun Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-05-01
Col·lecció:	Mathematics
Matèries:	predominant cognitive learning multimodal problems particle swarm optimization global numerical optimization black-box optimization
Accés en línia:	https://www.mdpi.com/2227-7390/10/10/1620
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