Bayesian Optimization for Contamination Source Identification in Water Distribution Networks
In the wake of the terrorist attacks of 11 September 2001, extensive research efforts have been dedicated to the development of computational algorithms for identifying contamination sources in water distribution systems (WDSs). Previous studies have extensively relied on evolutionary optimization t...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/16/1/168 |