Regularized Primal-Dual Subgradient Method for Distributed Constrained Optimization

In this paper, we study the distributed constrained optimization problem where the objective function is the sum of local convex cost functions of distributed nodes in a network, subject to a global inequality constraint. To solve this problem, we propose a consensus-based distributed regularized pr...

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Bibliographic Details

Published in:	IEEE transactions on cybernetics Vol. 46; no. 9; pp. 2109 - 2118
Main Authors:	Deming Yuan, Ho, Daniel W. C., Shengyuan Xu
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Average consensus constrained optimization Convergence Convex functions Cost function Cybernetics distributed optimization Lagrangian functions Linear programming primal–dual subgradient method
ISSN:	2168-2267, 2168-2275
Online Access:	Get full text
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