Improved particle swarm optimization algorithm with random mutation and perception

Since traditional particle swarm optimization(PSO) is prone to premature phenomenon when solving complex functions in high-dimensional space, a particle swarm optimization algorithm with random variation and dynamic perception factors in terms of the movement laws and dispersion characteristics of p...

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Bibliographic Details
Main Authors: HUANG Yi, LIANG Fangchi, FAN Chengli, SONG Zhanfu
Format: Article
Language:zho
Published: EDP Sciences 2023-04-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2023/02/jnwpu2023412p428/jnwpu2023412p428.html