Multi-objective optimization for sensor placement: An integrated combinatorial approach with reduced order model and Gaussian process

•We devise a multi-objective optimization (MOO) for sensor placement.•Our MOO integrates reduced order model and lazy greedy combinatorial approach.•We develop branch and bound exact method to validate the Pareto frontier.•We validate our method by a temperature sensor placement example. We develop...

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Bibliographic Details
Published in:	Measurement : journal of the International Measurement Confederation Vol. 187; p. 110370
Main Authors:	Xu, Zhaoyi, Guo, Yanjie, Homer Saleh, Joseph
Format:	Journal Article
Language:	English
Published:	London Elsevier Ltd 01.01.2022 Elsevier Science Ltd
Subjects:	Algorithms Branch and bound Combinatorial analysis Configuration management Gaussian process Lazy greedy algorithm Multi-objective combinatorial optimization Multiple objective analysis Normal distribution Optimization Pareto optimization Pareto optimum Placement Proper Orthogonal Decomposition Reduced order models Sensor placement Sensors State estimation Sensor placement Proper orthogonal decomposition Lazy greedy algorithm Branch and bound Multi-objective combinatorial optimization
ISSN:	0263-2241, 1873-412X
Online Access:	Get full text
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