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...
Enregistré dans:
Auteurs principaux: | Shangbo Zhou, Yuxiao Han, Long Sha, Shufang Zhu |
---|---|
Format: | article |
Langue: | EN |
Publié: |
AIMS Press
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/6e0f60631c6049218a578eb980cb4130 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Research on Large-Scale Bi-Level Particle Swarm Optimization Algorithm
par: Jia-Jia Jiang, et autres
Publié: (2021) -
Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption
par: Wen-Shing Lee, et autres
Publié: (2021) -
Feasible Optimal Solutions of Electromagnetic Cloaking Problems by Chaotic Accelerated Particle Swarm Optimization
par: Alkmini Michaloglou, et autres
Publié: (2021) -
A Novel Approach Combining Particle Swarm Optimization and Deep Learning for Flash Flood Detection from Satellite Images
par: Do Ngoc Tuyen, et autres
Publié: (2021) -
A Multi-Objective Particle Swarm Optimization for Trajectory Planning of Fruit Picking Manipulator
par: Xiaoman Cao, et autres
Publié: (2021)