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 (Author), Ozdaglar, Asuman E. (Contributor), Feijer Rovira, Diego Francisco (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Springer-Verlag, 2012-10-01T15:39:30Z.
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