QQ客服 官方微博 反馈留言

	A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments
	Hongwei Tang; Wei Sun; Hongshan Yu; Anping Lin; Min Xue; Yuxue Song
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/4609087
专题	湖南大学
作者单位	1.State Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha,China 2.Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area,Shaoyang University,Shaoyang,China 3.Hunan Provincial Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing,Hunan University,Changsha,China
推荐引用方式 GB/T 7714	Hongwei Tang,Wei Sun,Hongshan Yu,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	Hongwei Tang,Wei Sun,Hongshan Yu,Anping Lin,Min Xue,&Yuxue Song.(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	Hongwei Tang,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.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。