Cargando…
Improved Bacterial Foraging Optimization Algorithm with Comprehensive Swarm Learning Strategies
Bacterial foraging optimization (BFO), a novel bio-inspired heuristic optimization algorithm, has been attracted widespread attention and widely applied to various practical optimization problems. However, the standard BFO algorithm exists some potential deficiencies, such as the weakness of converg...
Autores principales: | Gan, Xiaobing, Xiao, Baoyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354797/ http://dx.doi.org/10.1007/978-3-030-53956-6_29 |
Ejemplares similares
-
A Comprehensive Review of Swarm Optimization Algorithms
por: Ab Wahab, Mohd Nadhir, et al.
Publicado: (2015) -
Hybrid Bacterial Foraging and Particle Swarm Optimization for detecting Bundle Branch Block
por: Kora, Padmavathi, et al.
Publicado: (2015) -
Gait Optimization Method for Humanoid Robots Based on Parallel Comprehensive Learning Particle Swarm Optimizer Algorithm
por: Tao, Chongben, et al.
Publicado: (2021) -
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
por: Bacanin, Nebojsa, et al.
Publicado: (2022) -
PECSO: An Improved Chicken Swarm Optimization Algorithm with Performance-Enhanced Strategy and Its Application
por: Zhang, Yufei, et al.
Publicado: (2023)