Cargando…
A Particle Swarm Algorithm Based on a Multi-Stage Search Strategy
Particle swarm optimization (PSO) has the disadvantages of easily getting trapped in local optima and a low search accuracy. Scores of approaches have been used to improve the diversity, search accuracy, and results of PSO, but the balance between exploration and exploitation remains sub-optimal. Ma...
Autores principales: | Shen, Yong, Cai, Wangzhen, Kang, Hongwei, Sun, Xingping, Chen, Qingyi, Zhang, Haigang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472527/ https://www.ncbi.nlm.nih.gov/pubmed/34573825 http://dx.doi.org/10.3390/e23091200 |
Ejemplares similares
-
A Diversity Model Based on Dimension Entropy and Its Application to Swarm Intelligence Algorithm
por: Kang, Hongwei, et al.
Publicado: (2021) -
Particle Swarm Contour Search Algorithm
por: Weikert, Dominik, et al.
Publicado: (2020) -
A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA)
por: Jia, Ying-Hui, et al.
Publicado: (2021) -
Improved multi-objective clustering algorithm using particle swarm optimization
por: Gong, Congcong, et al.
Publicado: (2017) -
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
por: Sun, Tao, et al.
Publicado: (2017)