ALADIN-α—An open-source MATLAB toolbox for distributed non-convex optimization

Publikationstyp
Journal Article
Date Issued
2022-01-13
Sprache
English
Author(s)
Engelmann, Alexander
Jiang, Yuning
Benner, Henrieke
Ou, Ruchuan  
Houska, Boris
Faulwasser, Timm  
TORE-DOI
10.15480/882.9193
TORE-URI
https://hdl.handle.net/11420/45669
Journal
Optimal control, applications & methods  
Volume
43
Issue
1
Start Page
4
End Page
22
Citation
Optimal Control Applications and Methods 1 (4): 4-22 (2022-01-13)
Publisher DOI
10.1002/oca.2811
Scopus ID
2-s2.0-85119599838
This article introduces an open-source software for distributed and decentralized non-convex optimization named ALADIN- (Formula presented.). ALADIN- (Formula presented.) is a MATLAB implementation of tailored variants of the Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) algorithm. It is user interface is convenient for rapid prototyping of non-convex distributed optimization algorithms. An improved version of the recently proposed bi-level variant of ALADIN is included enabling decentralized non-convex optimization with reduced information exchange. A collection of examples from different applications fields including chemical engineering, robotics, and power systems underpins the potential of ALADIN- (Formula presented.).
DDC Class
510: Mathematics
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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