Momentum-Based Multiagent Approaches to Distributed Nonconvex Optimization

In this article, a paradigm of momentum-based systems is introduced for nonconvex optimization. Based on the paradigm, a momentum-based system and a momentum-based multiagent system are developed for nonconvex constrained optimization and distributed nonconvex optimization, respectively, and the con...

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Vydané v:	IEEE transactions on automatic control Ročník 70; číslo 5; s. 3331 - 3338
Hlavní autori:	Xia, Zicong, Liu, Yang, Kou, Kit Ian, Lu, Jianquan, Gui, Weihua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Convergence Convex functions Distributed nonconvex optimization Heuristic methods Linear programming Momentum momentum-based optimization Multiagent systems multiagent systems (MASs) Neurodynamics Optimization Particle swarm optimization Power system stability Recurrent neural networks Scalability Security Swarm intelligence
ISSN:	0018-9286, 1558-2523
On-line prístup:	Získať plný text
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