An adaptive online learning algorithm for distributed convex optimization with coupled constraints over unbalanced directed graphs

This paper investigates a distributed optimization problem over multi-agent networks subject to both local and coupled constraints in a non-stationary environment, where a set of agents aim to cooperatively minimize the sum of locally time-varying cost functions when the communication graphs are tim...

Full description

Bibliographic Details

Published in:	Journal of the Franklin Institute Vol. 356; no. 13; pp. 7548 - 7570
Main Authors:	Gu, Chuanye, Li, Jueyou, Wu, Zhiyou
Format:	Journal Article
Language:	English
Published:	Elmsford Elsevier Ltd 01.09.2019 Elsevier Science Ltd
Subjects:	Adaptive algorithms Algorithms Computational geometry Computer simulation Convexity Coupling Electric vehicle charging Electric vehicles Graph theory Graphs Machine learning Multiagent systems Nonstationary environments Optimization Studies
ISSN:	0016-0032, 1879-2693, 0016-0032
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!