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

Engelmann, Alexander; Jiang, Yuning; Benner, Henrieke; Ou, Ruchuan; Houska, Boris; Faulwasser, Timm

Abstract:

This article introduces an open-source software for distributed and decentralized non-convex optimization named ALADIN-α. ALADIN-α 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-α.


Verlagsausgabe §
DOI: 10.5445/IR/1000140538
Veröffentlicht am 01.12.2021
Originalveröffentlichung
DOI: 10.1002/oca.2811
Scopus
Zitationen: 10
Web of Science
Zitationen: 10
Dimensions
Zitationen: 16
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0143-2087, 1099-1514
KITopen-ID: 1000140538
HGF-Programm 37.12.01 (POF IV, LK 01) Digitalization & System Technology for Flexibility Solutions
Erschienen in Optimal Control Applications and Methods
Verlag John Wiley and Sons
Band 43
Heft 1
Seiten 4-22
Nachgewiesen in Web of Science
Scopus
Dimensions
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