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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Hlavní autoři: Qiang Yang, Yuanpeng Zhu, Xudong Gao, Dongdong Xu, Zhenyu Lu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2022-04-01
Edice:Mathematics
Témata:
large-scale optimization
particle swarm optimization
elite learning
historical information
high-dimensional problems
On-line přístup:https://www.mdpi.com/2227-7390/10/9/1384
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