Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network

DOI10.3934/MBE.2020006zbMath1470.93113OpenAlexW2976000420WikidataQ91298248 ScholiaQ91298248MaRDI QIDQ2045657

Xuesong Yan, Wenyin Gong, Junyi Cai, Ling Wang, Deze Zeng, Chengyu Hu

Publication date: 13 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020006

zbMATH Keywords

reinforcement learningscheduling problemwater distribution networkwater contamination incident

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Deterministic scheduling theory in operations research (90B35) Application models in control theory (93C95) Networked control (93B70)

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Cites Work

• The iterative scheme and the convergence analysis of unique solution for a singular fractional differential equation from the eco-economic complex system's co-evolution process
• Maximum and minimum solutions for a nonlocal \(p\)-Laplacian fractional differential system from eco-economical processes
• Genetic Algorithms for Scheduling Devices Operation in a Water Distribution System in Response to Contamination Events

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