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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Vydané v:	IEEE transactions on cybernetics Ročník 46; číslo 9; s. 2109 - 2118
Hlavní autori:	Deming Yuan, Ho, Daniel W. C., Shengyuan Xu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.09.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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