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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Principais autores:	Shiyuan Yin, Min Jin, Huaxiang Lu, Guoliang Gong, Wenyu Mao, Gang Chen, Wenchang Li
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Springer 2023-03-01
סדרה:	Complex & Intelligent Systems
נושאים:	Particle swarm optimization Reinforcement learning CEC 2013 benchmark
גישה מקוונת:	https://doi.org/10.1007/s40747-023-01012-8
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!