Reinforcement-learning-based parameter adaptation method for particle swarm optimization

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...

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Bibliographic Details
Main Authors: Shiyuan Yin, Min Jin, Huaxiang Lu, Guoliang Gong, Wenyu Mao, Gang Chen, Wenchang Li
Format: Article
Language:English
Published: Springer 2023-03-01
Series:Complex & Intelligent Systems
Subjects:
Particle swarm optimization
Reinforcement learning
CEC 2013 benchmark
Online Access:https://doi.org/10.1007/s40747-023-01012-8

Internet

https://doi.org/10.1007/s40747-023-01012-8

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