A random elite ensemble learning swarm optimizer for high-dimensional optimization

Abstract High-dimensional optimization problems are increasingly pervasive in real-world applications nowadays and become harder and harder to optimize due to increasingly interacting variables. To tackle such problems effectively, this paper designs a random elite ensemble learning swarm optimizer...

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Autores principales:	Qiang Yang, Gong-Wei Song, Xu-Dong Gao, Zhen-Yu Lu, Sang-Woon Jeon, Jun Zhang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2023-03-01
Colección:	Complex & Intelligent Systems
Materias:	Particle swarm optimization Large-scale optimization Random elite ensemble learning swarm optimizer Ensemble learning Cognitive learning High-dimensional problems
Acceso en línea:	https://doi.org/10.1007/s40747-023-00993-w
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