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An artificial emergency-logistics-planning system for severe disasters
Li, Lefei1; Tang, Shuming2,3
Source PublicationIEEE INTELLIGENT SYSTEMS
2008-07-01
Volume23Issue:4Pages:86-88
SubtypeEditorial Material
AbstractTo help government and disaster relief organizations prepare for and manage severe disasters, the authors propose the Artificial Emergency-Logistics-Planning System (Aelps). Aelps, which is based on artificial-society theory, concurrently considers different subsystems dealing with weather, geology, epidemics, and so on. Aelps can form the basis of a complex computational platform that generates logistics phenomena during disaster relief and gives intuitive results that can be used in emergency-logistics planning.
KeywordAelps Artificial Emergency-logistics-planning System Agents Artificial Societies Coalition Management Disaster Relief Emergency-logistics Planning Emergency-logistics Planning Artificial Societies Artificial Emergency-logistics-planning System
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000257987600019
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9690
Collection09年以前成果
Corresponding AuthorLi, Lefei
Affiliation1.Tsinghua Univ, Dept Ind Engn, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Lab Complex Adapt Syst Transportat, Beijing 100864, Peoples R China
3.Shanghai Univ Sci & Technol, Taishan Chair Prof, Shanghai, Peoples R China
Recommended Citation
GB/T 7714
Li, Lefei,Tang, Shuming. An artificial emergency-logistics-planning system for severe disasters[J]. IEEE INTELLIGENT SYSTEMS,2008,23(4):86-88.
APA Li, Lefei,&Tang, Shuming.(2008).An artificial emergency-logistics-planning system for severe disasters.IEEE INTELLIGENT SYSTEMS,23(4),86-88.
MLA Li, Lefei,et al."An artificial emergency-logistics-planning system for severe disasters".IEEE INTELLIGENT SYSTEMS 23.4(2008):86-88.
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