An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA

We have employed evolutionary computation to solve the optimization problem of sensor deployment in battlefield environments. A genetic algorithm has the advantage of delivering results of a higher quality than simple computational algorithms, but it has the drawback of requiring too much computing...

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Bibliographic Details

Published in:	International journal of distributed sensor networks Vol. 2016; no. 3; p. 8612128
Main Authors:	Seo, Jae-Hyun, Yoon, Yourim, Kim, Yong-Hyuk
Format:	Journal Article
Language:	English
Published:	London, England Hindawi Publishing Corporation 01.01.2016 SAGE Publications Sage Publications Ltd. (UK) John Wiley & Sons, Inc Wiley
Subjects:	Algorithms Applied research Computation Computational efficiency Computer simulation Computing time Fitness Genetic algorithms Optimization theory Sensors
ISSN:	1550-1329, 1550-1477, 1550-1477
Online Access:	Get full text
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