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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Auteurs principaux: Qiang Yang, Yuanpeng Zhu, Xudong Gao, Dongdong Xu, Zhenyu Lu
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2022-04-01
Collection:Mathematics
Sujets:
large-scale optimization
particle swarm optimization
elite learning
historical information
high-dimensional problems
Accès en ligne:https://www.mdpi.com/2227-7390/10/9/1384
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