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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(孙世杰)1,2,3
Department光电信息技术研究室
Conference NameSAI Annual Conference on Areas of Intelligent Systems and Artificial Intelligence and their Applications to the Real World (IntelliSys)
Conference DateSeptember 21-22, 2016
Conference PlaceLondon, ENGLAND
Author of SourceSAI, UKRI Comp Chapter, HPCC Syst, IEEE, IBM Watson AI XPrize
Source PublicationPROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2
PublisherSPRINGER INTERNATIONAL PUBLISHING AG
Publication PlaceCHAM, SWITZERLAND
2016
Pages917-927
Indexed ByCPCI(ISTP)
WOS IDWOS:000448662500067
Contribution Rank1
ISSN2367-3370
ISBN978-3-319-56991-8; 978-3-319-56990-1
KeywordMaritime search and rescue Static target Particle swarm algorithm
AbstractMaritime 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/23550
Collection光电信息技术研究室
Corresponding AuthorLv JF(吕进锋)
Affiliation1.Department of Optical-Electronics and Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Optical-Electronics Information Processing, University of Chinese Academy of Sciences, Shenyang, China
3.Key Laboratory of Image Understanding and Computer Vision, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Lv JF,Liu MD,Zhao HC,et al. Maritime Static Target Search Based on Particle Swarm Algorithm[C]//SAI, UKRI Comp Chapter, HPCC Syst, IEEE, IBM Watson AI XPrize. CHAM, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG,2016:917-927.
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