Cargando…
Parameter Estimation of Fractional-Order Chaotic Systems by Using Quantum Parallel Particle Swarm Optimization Algorithm
Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order chaotic control and synchronization and could be essentially formulated as a multidimensional optimization problem. A novel algorithm called quantum parallel particle swarm optimization (QPPSO) is pro...
Autores principales: | Huang, Yu, Guo, Feng, Li, Yongling, Liu, Yufeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300217/ https://www.ncbi.nlm.nih.gov/pubmed/25603158 http://dx.doi.org/10.1371/journal.pone.0114910 |
Ejemplares similares
-
Fractional-order quantum particle swarm optimization
por: Xu, Lai, et al.
Publicado: (2019) -
Chaotic Particle Swarm Optimization with Mutation for Classification
por: Assarzadeh, Zahra, et al.
Publicado: (2015) -
Fractional order Darwinian particle swarm optimization: applications and evaluation of an evolutionary algorithm
por: Couceiro, Micael, et al.
Publicado: (2015) -
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
por: Sun, Tao, et al.
Publicado: (2017) -
Parameter estimation of the COVID-19 transmission model using an improved quantum-behaved particle swarm optimization algorithm
por: Ma, Baoshan, et al.
Publicado: (2022)