Elite Directed Particle Swarm Optimization with Historical Information for High-Dimensional Problems

High-dimensional optimization problems are ubiquitous in every field nowadays, which seriously challenge the optimization ability of existing optimizers. To solve this kind of optimization problems effectively, this paper proposes an elite-directed particle swarm optimization (EDPSO) with historical...

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Main Authors: Qiang Yang, Yuanpeng Zhu, Xudong Gao, Dongdong Xu, Zhenyu Lu
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2022-04-01
Series:Mathematics
Assuntos:
large-scale optimization
particle swarm optimization
elite learning
historical information
high-dimensional problems
Acceso en liña:https://www.mdpi.com/2227-7390/10/9/1384
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