Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment

For sudden drinking water pollution event, reasonable opening or closing valves and hydrants in a water distribution network (WDN), which ensures the isolation and discharge of contaminant as soon as possible, is considered as an effective emergency measure. In this paper, we propose an emergency sc...

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Vydané v:	Complex System Modeling and Simulation Ročník 2; číslo 3; s. 213 - 223
Hlavní autori:	Hu, Chengyu, Qiao, Rui, Zhang, Zhe, Yan, Xuesong, Li, Ming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Tsinghua University Press 01.09.2022
Predmet:	evolutionary reinforcement learning scheduling problem water distribution network
ISSN:	2096-9929, 2096-9929
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