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  • 标题:Distributed Job Shop Scheduling using Consensus Alternating Direction Method of Multipliers
  • 本地全文:下载
  • 作者:Toshiyuki Miyamoto ; Toyohiro Umeda ; Shigemasa Takai
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:10785-10790
  • DOI:10.1016/j.ifacol.2020.12.2862
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractScheduling problems belong to NP-hard and are not easily solved in large systems. In recent years, the development of optimization methods in multi-agent systems has been remarkable. In this paper, we consider a large-scale system as a multi-agent system and discuss a method of solving a scheduling problem using consensus among agents. We propose a distributed method using the alternating direction method of multipliers and evaluate the method using a small-scale instance of the scheduling problem.
  • 关键词:Keywordsdistributed schedulingconsensusoptimizationADMMjob shop scheduling
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