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  • 标题:Distributed MDP for water resources planning and management in inland waterways
  • 本地全文:下载
  • 作者:Guillaume Desquesnes ; Guillaume Lozenguez ; Arnaud Doniec
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:6576-6581
  • DOI:10.1016/j.ifacol.2017.08.615
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractInland waterway management should undergo heavy changes due to a commitment to increase the waterway traffic in a context of climate change. These new constraints will impose an adaptive and resilient management of the water resource. The aim is to plan optimally the water resource distribution over the integrity of the inland waterway network, while taking into account the uncertainties arising from their operation. Due to the large size of waterways, a centralized modeling would not be able to represent an entire network. A distributed Markov Decision Process modeling of inland waterways associated with a resolution algorithm is proposed to allow full scalability, at the cost of optimality. The proposed approach is tested on a subnetwork composed of 7 reaches.
  • 关键词:KeywordsMarkov decision processesMulti-agents systemsDistributed artificial intelligenceLarge scale systemsInland waterwaysNatural resources management
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