A novel particle swarm optimization based on hybrid-learning model

A novel particle swarm optimization based on hybrid-learning model

The convergence speed and the diversity of the population plays a critical role in the performance of particle swarm optimization (PSO). In order to balance the trade-off between exploration and exploitation, a novel particle swarm optimization based on the hybrid learning model (PSO-HLM) is propose...

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Bibliographic Details
Main Authors: Yufeng Wang, BoCheng Wang, Zhuang Li, Chunyu Xu
Format: Article
Language:English
Published: AIMS Press 2023-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
particle swarm optimization
adaptive parameters
multi-pool fusion
hybrid-learning model
gaussian perturbation
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023305?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023305?viewType=HTML

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