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ALADIN‐ α —An open‐source MATLAB toolbox for distributed non‐convex optimization
Author(s) -
Engelmann Alexander,
Jiang Yuning,
Benner Henrieke,
Ou Ruchuan,
Houska Boris,
Faulwasser Timm
Publication year - 2021
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2811
Subject(s) - matlab , computer science , toolbox , augmented lagrangian method , software , interface (matter) , convex optimization , regular polygon , robotics , open source , mathematical optimization , artificial intelligence , algorithm , robot , mathematics , programming language , parallel computing , geometry , bubble , maximum bubble pressure method
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 .