Maritime Static Target Search Based on Particle Swarm Algorithm | |
Liu MD(刘明第)1,2,3; Sun SJ(孙世杰)1,2,3; Li B(李波)1,2,3; Zhao HC(赵怀慈)1,2,3; Lv JF(吕进锋)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.Department of Optical-Electronics and Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.Key Laboratory of Image Understanding and Computer Vision, Chinese Academy of Sciences, Shenyang, China |
推荐引用方式 GB/T 7714 | Liu MD,Sun SJ,Li B,et al. Maritime Static Target Search Based on Particle Swarm Algorithm[C]. 见:. London, ENGLAND. September 21-22, 2016. |
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