Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154496
Title: Parallel alternating direction method of multipliers
Authors: Yan, Jiaqi
Guo, Fanghong
Wen, Changyun
Li, Guoqi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Yan, J., Guo, F., Wen, C. & Li, G. (2020). Parallel alternating direction method of multipliers. Information Sciences, 507, 185-196. https://dx.doi.org/10.1016/j.ins.2019.08.039
Journal: Information Sciences
Abstract: In this paper, we consider the distributed optimization problem, where the objective function is the sum of local cost functions. To solve this problem, a new parallel Alternating Direction Method of Multipliers (ADMM) algorithm is developed, which guarantees that the agents cooperatively reach an optimal agreement. Different from most of the existing ADMM approaches, our algorithm allows all the agents to update their local variables simultaneously in a parallel manner. It is theoretically proved that the local solutions of all the agents could reach a consensus, and converge to the optimal solution asymptotically with the rate of O(1/k). Numerical examples are finally provided to validate the effectiveness of the proposed method.
URI: https://hdl.handle.net/10356/154496
ISSN: 0020-0255
DOI: 10.1016/j.ins.2019.08.039
Rights: © 2019 Elsevier Inc. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

Page view(s)

8
Updated on Jan 23, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.