ISCAS OpenIR  > 天基综合信息系统全国重点实验室
an optimal method for multiple observers sitting on terrain based on improved simulated annealing techniques
Lv Pin; Zhang Jin-Fang; Lit Min
2006
Conference Name19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
Pages373-382
Conference DateJUN 27-30,
Conference PlaceAnnecy, FRANCE
Indexed TypeSCI
Publish PlaceHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
PublisherADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS
ISSN0302-9743
ISBN3-540-35453-0
DepartmentChinese Acad Sci, Inst Software, Natl Key Lab Integrated Informat Syst Technol, Beijing 10080, Peoples R China.
English AbstractThe problem of multiple observers sitting on terrain (MOST) is an important part in visibility-based terrain reasoning (VBTR), but it is difficult because of the unacceptable computing time. Recent developments in this field focus on involving
SponsorshipUniv Savoie, Dept Comp Sci, Int Soc Appl Intelligence, LISTIC/ESIA, AIAA, ACM SIGART, AFIA, CSCSI/SCEIO, ECCAI, ENNS, INNS, JSAI, TAAI, Texas State Univ
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12162
Collection天基综合信息系统全国重点实验室
Recommended Citation
GB/T 7714
Lv Pin,Zhang Jin-Fang,Lit Min. an optimal method for multiple observers sitting on terrain based on improved simulated annealing techniques[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS,2006:373-382.
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