Distributed nonconvex optimization subject to globally coupled constraints via collaborative neurodynamic optimization

• Published in: Neural networks Vol. 184; p. 107027
• Main Authors: Xia, Zicong, Liu, Yang, Hu, Cheng, Jiang, Haijun
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.04.2025
• Subjects: Algorithms; Augmented Lagrangian function; Collaborative neurodynamic optimization; Computer Simulation; Distributed nonconvex optimization; Humans; Neural Networks, Computer; Recurrent neural network; Distributed nonconvex optimization; Collaborative neurodynamic optimization; Augmented Lagrangian function; Recurrent neural network

In this paper, a recurrent neural network is proposed for distributed nonconvex optimization subject to globally coupled (in)equality constraints and local bound constraints. Two distributed optimization models, including a resource allocation problem and a consensus-constrained optimization problem...