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  • 标题:Distributed Multi-Objective Optimization over Randomly Varying Unbalanced Networks * * This work was supported by JST CREST Grant Number JPMJCR15K2, Japan.
  • 本地全文:下载
  • 作者:Takayuki Wada ; Izumi Masubuchi ; Kenta Hanada
  • 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:2403-2408
  • DOI:10.1016/j.ifacol.2017.08.434
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA distributed optimization for a multi-agent system connected by a directed unbalanced random network is considered. It is shown that a sequense of candidate solutions of the standard algorithm for distributed optimization converges to a Pareto optimal solution of a multi-objective optimization which is to minimize objective functions of agents in a mean square sense. This is illustrated through a numerical example.
  • 关键词:KeywordsDistributed optimizationmulti-agent systemsconvex optimizationunbalanced graphmulti-objective optimization
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