Cargando…
A Multistrategy Optimization Improved Artificial Bee Colony Algorithm
Being prone to the shortcomings of premature and slow convergence rate of artificial bee colony algorithm, an improved algorithm was proposed. Chaotic reverse learning strategies were used to initialize swarm in order to improve the global search ability of the algorithm and keep the diversity of th...
Autor principal: | Liu, Wen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997130/ https://www.ncbi.nlm.nih.gov/pubmed/24982924 http://dx.doi.org/10.1155/2014/129483 |
Ejemplares similares
-
A Multistrategy Artificial Bee Colony Algorithm Enlightened by Variable Neighborhood Search
por: Xiang, Wan-li, et al.
Publicado: (2019) -
Multistrategy Improved Whale Optimization Algorithm and Its Application
por: Liu, Lisang, et al.
Publicado: (2022) -
Multistrategy Improved Sparrow Search Algorithm Optimized Deep Neural Network for Esophageal Cancer
por: Wang, Yanfeng, et al.
Publicado: (2022) -
A Multistrategy-Integrated Learning Sparrow Search Algorithm and Optimization of Engineering Problems
por: Wang, Zikai, et al.
Publicado: (2022) -
Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization
por: Ma, Lianbo, et al.
Publicado: (2014)