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	A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments
	Tang, HW; Sun, W; Yu, HS; Lin, AP; Xue, M; Song, YX
刊名	APPLIED INTELLIGENCE
	2019
卷号	Vol.49 No.7页码:2603-2622
关键词	Particle swarm optimization Fruit Fly optimization algorithm Target searching Multi-swarm Multi-scale cooperative mutation
ISSN号	0924-669X;1573-7497
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4749340
专题	湖南大学
作者单位	1.Hunan Univ, State Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China 2.Shaoyang Univ, Hunan Prov Key Lab Grids Operat & Control Multipo, Shaoyang 422000, Peoples R China 3.Hunan Univ, Hunan Prov Key Lab Intelligent Robot Technol Elec, Changsha 410082, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Tang, HW,Sun, W,Yu, HS,et al. A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments[J]. APPLIED INTELLIGENCE,2019,Vol.49 No.7:2603-2622.
APA	Tang, HW,Sun, W,Yu, HS,Lin, AP,Xue, M,&Song, YX.(2019).A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments.APPLIED INTELLIGENCE,Vol.49 No.7,2603-2622.
MLA	Tang, HW,et al."A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments".APPLIED INTELLIGENCE Vol.49 No.7(2019):2603-2622.

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