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A swarm-based learning method inspired by social insects
He XX(何小贤); Zhu YL(朱云龙); Hu KY(胡琨元); Niu B(牛奔)
Department先进制造技术实验室
Conference Name3rd International Conference on Intelligent Computing
Conference DateAugust 21-24, 2007
Conference PlaceQingdao, China
Author of SourceIEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Sci Fdn China
Source PublicationADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS - WITH ASPECTS OF ARTIFICIAL INTELLIGENCE
PublisherSPRINGER-VERLAG
Publication PlaceBERLIN
2007
Pages525-533
Indexed ByEI ; CPCI(ISTP)
EI Accession number20080311023740
WOS IDWOS:000250577100057
Contribution Rank1
ISSN0302-9743
ISBN978-3-540-74201-2
KeywordNeighbor-information-reference (Nir) Learning I-interval Neighbor Discounted Reward Q-learning Swarm Intelligence
AbstractInspired by cooperative transport behaviors of ants, on the basis of Q-learning, a new learning method, Neighbor-Information-Reference (NIR) learning method, is present in the paper. This is a swarm-based learning method, in which principles of swarm intelligence are strictly complied with. In NIR learning, the i-interval neighbor's information, namely its discounted reward, is referenced when an individual selects the next state, so that it can make the best decision in a computable local neighborhood. In application, different policies of NIR learning are recommended by controlling the parameters according to time-relativity of concrete tasks. NIR learning can remarkably improve individual efficiency, and make swarm more "intelligent".
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8160
Collection工业信息学研究室_先进制造技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang
2.Graduate School, Chinese Academy of Sciences, Beijing
Recommended Citation
GB/T 7714
He XX,Zhu YL,Hu KY,et al. A swarm-based learning method inspired by social insects[C]//IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Sci Fdn China. BERLIN:SPRINGER-VERLAG,2007:525-533.
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