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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Autori principali: Qiang Yang, Yuanpeng Zhu, Xudong Gao, Dongdong Xu, Zhenyu Lu
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-04-01
Serie:Mathematics
Soggetti:
large-scale optimization
particle swarm optimization
elite learning
historical information
high-dimensional problems
Accesso online:https://www.mdpi.com/2227-7390/10/9/1384
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