文章基本信息

标题：Distributed Multi-Objective Optimization over Randomly Varying Unbalanced Networks * * This work was supported by JST CREST Grant Number JPMJCR15K2, Japan.
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作者：Takayuki Wada ; Izumi Masubuchi ; Kenta Hanada 等
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