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