Distributed aggregative optimization with affine coupling constraints

This paper investigates a distributed aggregative optimization problem subject to coupling affine inequality constraints, in which local objective functions depend not only on their own decision variables but also on an aggregation of all the agents’ variables. The formulated problem encompasses num...

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Veröffentlicht in:	Neural networks Jg. 184; S. 107085
Hauptverfasser:	Du, Kaixin, Meng, Min
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.04.2025
Schlagworte:	Algorithms Computer Simulation Coupling affine inequality constraints Distributed aggregative optimization Humans Linear convergence rate Neural Networks, Computer Primal–dual algorithm Linear convergence rate Distributed aggregative optimization Coupling affine inequality constraints Primal–dual algorithm
ISSN:	0893-6080, 1879-2782, 1879-2782
Online-Zugang:	Volltext
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