An improved artificial fish swarm algorithm and its application on system identification with a time-delay system

To remedy the low convergence rate and low optimization accuracy of the artificial fish swarm algorithm (AFSA), an improved artificial fish swarm algorithm (IAFSA) was proposed. In the improved algorithm, the artificial fish could adjust the vision and step and form a balance between the local searc...

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Главные авторы:	CAO Fa-ru, FENG Mao-lin
Формат:	Artigo
Язык:	Chinês
Опубликовано:	Science Press 2017-04-01
Серии:	工程科学学报
Предметы:	artificial fish swarm algorithm function optimization system identification time-delay systems
Online-ссылка:	http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.04.018
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