A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement

In this paper we propose a new algorithm for the identification of optimal “sensing spots”, within a network, for monitoring the spread of “effects” triggered by “events”. This problem is referred to as “Optimal Sensor Placement” and many real-world problems fit into this general framework. In this...

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Bibliographic Details
Main Authors: Andrea Ponti, Antonio Candelieri, Francesco Archetti
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Intelligent Systems with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305321000363