Hybrid Multi-objective Evolutionary Algorithms based on Decomposition for Wireless Sensor Network Coverage Optimization | |
Ying Xu; Ou Ding; Rong Qu; Keqin Li | |
刊名 | Applied Soft Computing
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2018 | |
卷号 | Vol.68页码:268-282 |
关键词 | Coverage optimization MOEA/D Multi-objective optimization Wireless Sensor Networks |
ISSN号 | 1568-4946 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5466466 |
专题 | 湖南大学 |
作者单位 | 1.a College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China 2.School of Computer Science, University of Nottingham, Nottingham N 3.1BB, UK 4.Department of Computer Science State University of New York, New Paltz, New York 12561, USA |
推荐引用方式 GB/T 7714 | Ying Xu,Ou Ding,Rong Qu,et al. Hybrid Multi-objective Evolutionary Algorithms based on Decomposition for Wireless Sensor Network Coverage Optimization[J]. Applied Soft Computing,2018,Vol.68:268-282. |
APA | Ying Xu,Ou Ding,Rong Qu,&Keqin Li.(2018).Hybrid Multi-objective Evolutionary Algorithms based on Decomposition for Wireless Sensor Network Coverage Optimization.Applied Soft Computing,Vol.68,268-282. |
MLA | Ying Xu,et al."Hybrid Multi-objective Evolutionary Algorithms based on Decomposition for Wireless Sensor Network Coverage Optimization".Applied Soft Computing Vol.68(2018):268-282. |
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