A multi-sample particle swarm optimization algorithm based on electric field force

A multi-sample particle swarm optimization algorithm based on electric field force

Aiming at the premature convergence problem of particle swarm optimization algorithm, a multi-sample particle swarm optimization (MSPSO) algorithm based on electric field force is proposed. Firstly, we introduce the concept of the electric field into the particle swarm optimization algorithm. The pa...

Full description

Bibliographic Details
Main Authors: Shangbo Zhou, Yuxiao Han, Long Sha, Shufang Zhu
Format: Article
Language:English
Published: AIMS Press 2021-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
particle swarm optimization
electric field force
comprehensive learning
segmented learning
parameter adaptation
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2021369?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2021369?viewType=HTML

Similar Items