Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning

王思琦; 龙丹冰; 陈其铧; 董子硕

doi:10.12454/j.jsuese.202500103

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Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning

更新时间：2025-11-24

- Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning
- “In the field of urban water supply, researchers have proposed a multi-objective resilience maintenance decision model that integrates graph convolutional networks and deep reinforcement learning, effectively improving the resilience and stability of the water supply system.”
- Advanced Engineering Sciences Pages: 1-14(2025)
- 作者机构：
  
  1.西南交通大学土木工程学院，四川成都 610031
  2.香港城市大学建筑与土木工程系，中国香港
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202500103
  CLC： TU991
- Received：19 February 2025，
  
  Published Online：24 November 2025，
- 稿件说明：
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.Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning[J].Advanced Engineering Sciences,

.Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning[J].Advanced Engineering Sciences,
.Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning[J].Advanced Engineering Sciences, DOI：10.12454/j.jsuese.202500103.XXXX,XX(XX):1‒14.王思琦,龙丹冰,陈其铧等.融合图卷积强化学习的供水管网多目标韧性维护决策[J].工程科学与技术,

.Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning[J].Advanced Engineering Sciences, DOI：10.12454/j.jsuese.202500103.

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Multi-Objective Resilience-Driven Maintenance Decision-Making of Water Distribution Networks Based on Graph Convolutional Reinforcement Learning

DOI：10.12454/j.jsuese.202500103