sensors network optimization by a novel genetic algorithm

ISCAS OpenIR

	sensors network optimization by a novel genetic algorithm
	Wang H; Buczak AL; Jin H; Li B
	2004
会议名称	IFIP International Conference on Network and Parallel Computing
页码	536-543
会议日期	OCT 18-20,
会议地点	Wuhan, PEOPLES R CHINA
收录类别	sci ; istp
出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者	NETWORK AND PARALLEL COMPUTING, PROCEEDINGS
ISSN	0302-9743
ISBN	3-540-23388-1
部门归属	Chinese 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.
摘要	This 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
主办者	IFIP
语种	英语
WOS记录号	WOS:000224583100076
引用统计
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/12998
专题	中国科学院软件研究所
推荐引用方式 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.