A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization
A nonsmooth distributed optimization problem subject to affine equality and convex inequality is considered in this paper. All the local objective functions in the distributed optimization problem possess a common decision variable. And taking privacy into consideration, each agent doesn’t share its...
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Published in | Neurocomputing (Amsterdam) Vol. 377; pp. 225 - 233 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
15.02.2020
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Subjects | |
Online Access | Get full text |
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