Maritime Static Target Search Based on Particle Swarm Algorithm

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	Maritime Static Target Search Based on Particle Swarm Algorithm
	Lv JF(吕进锋)1,2,3; Liu MD(刘明第)1,2,3; Zhao HC(赵怀慈)1,2,3; Li B(李波)1,2,3; Sun SJ(孙士杰)1,2,3
	2016
会议日期	September 21-22, 2016
会议地点	London, ENGLAND
关键词	Maritime search and rescue Static target Particle swarm algorithm
页码	917-927
英文摘要	Maritime search is one of the most important components of maritime search and rescue task, and in most cases it decides the success of the whole task. This paper aims at solving the problem of the search for maritime static target. On the basis of the position information of the target, the paper establishes the model of the problem firstly, then it establishes sub-region importance evaluation function to classify different sub-regions. For each sub-region, this paper calculates its center position. At last, this paper makes search plan for search unit by using improved particle swarm algorithm. The experimental results show that the method proposed by this paper can improve cumulative probability of success by 16.4% on average compared with the original particle swarm algorithm.
源文献作者	SAI, UKRI Comp Chapter, HPCC Syst, IEEE, IBM Watson AI XPrize
产权排序	1
会议录	PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2
会议录出版者	SPRINGER INTERNATIONAL PUBLISHING AG
会议录出版地	CHAM, SWITZERLAND
语种	英语
ISSN号	2367-3370
ISBN号	978-3-319-56991-8; 978-3-319-56990-1
WOS记录号	WOS:000448662500067
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/23550]
专题	沈阳自动化研究所_光电信息技术研究室
通讯作者	Lv JF(吕进锋)
作者单位	1.Key Laboratory of Optical-Electronics Information Processing, University of Chinese Academy of Sciences, Shenyang, China 2.Key Laboratory of Image Understanding and Computer Vision, Chinese Academy of Sciences, Shenyang, China 3.Department of Optical-Electronics and Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式 GB/T 7714	Lv JF,Liu MD,Zhao HC,et al. Maritime Static Target Search Based on Particle Swarm Algorithm[C]. 见:. London, ENGLAND. September 21-22, 2016.