Distributed multi-agent optimization with state-dependent communication

We study distributed algorithms for solving global optimization problems in which the objective function is the sum of local objective functions of agents and the constraint set is given by the intersection of local constraint sets of agents. We assume that each agent knows only his own local object...

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Bibliographic Details
Main Authors: Lobel, Ilan, Ozdaglar, Asuman E., Feijer Rovira, Diego Francisco
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Springer-Verlag 2012
Online Access:http://hdl.handle.net/1721.1/73504
https://orcid.org/0000-0002-1827-1285
https://orcid.org/0000-0003-4047-019X