cloud theory based simulated annealing algorithm for multiple observers     sitting on terrain problem

	cloud theory based simulated annealing algorithm for multiple observers sitting on terrain problem
	Lv Pin; Yuan Lin; Zhang Jinfang
	2008
Conference Name	4th International Conference on Intelligent Computing
Source	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	750-757
Conference Date	SEP 15-18,
Conference Place	Shanghai, PEOPLES R CHINA
Publish Place	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Publisher	ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS - WITH ASPECTS OF ARTIFICIAL INTELLIGENCE
ISSN	0302-9743
ISBN	978-3-540-85983-3
Department	Lv, Pin; Yuan, Lin; Zhang, Jinfang Chinese Acad Sci, Inst Software, Natl Key Lab Integrated Informat Syst Technol, Beijing 100190, Peoples R China.
English Abstract	The problem of Multiple Observers Sitting on Terrain (MOST) is an important part in visibility-based terrain reasoning and many applications can be classified as this problem. Recent developments in this field concentrate on using heuristic al
Keyword	Annealing Artificial Intelligence Chemical Shift Electric Currents Electric Network Analysis Heuristic Algorithms Heuristic Programming Magnetic Anisotropy
Sponsorship	IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/10662
Collection	天基综合信息系统全国重点实验室
Recommended Citation GB/T 7714	Lv Pin,Yuan Lin,Zhang Jinfang. cloud theory based simulated annealing algorithm for multiple observers sitting on terrain problem[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS - WITH ASPECTS OF ARTIFICIAL INTELLIGENCE,2008:750-757.

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