Reinforcement-learning-based parameter adaptation method for particle swarm optimization
Abstract Particle swarm optimization (PSO) is a well-known optimization algorithm that shows good performances in solving different optimization problems. However, the PSO usually suffers from slow convergence. In this article, a reinforcement-learning-based parameter adaptation method (RLAM) is dev...
Main Authors: | Shiyuan Yin, Min Jin, Huaxiang Lu, Guoliang Gong, Wenyu Mao, Gang Chen, Wenchang Li |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-03-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-023-01012-8 |
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