Particle swarm optimization with state-based adaptive velocity limit strategy

• Main Authors: Li, Xinze, Mao, Kezhi, Lin, Fanfan, Zhang, Xin
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Electrical and electronic engineering; Adaptive Velocity Limit; Evolutionary State Estimation
• 在線閱讀: https://hdl.handle.net/10356/160783

Velocity limit (VL) has been widely adopted in many variants of particle swarm optimization (PSO) to prevent particles from searching outside the solution space. Several adaptive VL strategies have been introduced with which the performance of PSO can be improved. However, the existing adaptive VL s...