ISCAS OpenIR
sensors network optimization by a novel genetic algorithm
Wang H; Buczak AL; Jin H; Li B
2004
Conference NameIFIP International Conference on Network and Parallel Computing
Pages536-543
Conference DateOCT 18-20,
Conference PlaceWuhan, PEOPLES R CHINA
Indexed Typesci ; istp
Publish PlaceHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
PublisherNETWORK AND PARALLEL COMPUTING, PROCEEDINGS
ISSN0302-9743
ISBN3-540-23388-1
DepartmentChinese Acad Sci, Inst Software, Beijing 100864, Peoples R China. Lockheed Martin Adv Technol Labs, Cherry Hill, NJ 08002 USA. Zibo Elect Power Co, Shandong 255032, Peoples R China.
English AbstractThis paper describes the optimization of a sensor network by a novel Genetic Algorithm (GA) that we call King Mutation C2. For a given distribution of sensors, the goal of the system is to determine the optimal combination of sensors that can
SponsorshipIFIP
Language英语
WOS IDWOS:000224583100076
Citation statistics
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12998
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Wang H,Buczak AL,Jin H,et al. sensors network optimization by a novel genetic algorithm[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:NETWORK AND PARALLEL COMPUTING, PROCEEDINGS,2004:536-543.
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