Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization

DOI10.1016/j.neunet.2023.10.011OpenAlexW4387675702MaRDI QIDQ6188311

Banghua Huang, Yang Liu, Jun Wang, Yun-Liang Jiang

Publication date: 11 January 2024

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2023.10.011

zbMATH Keywords

global optimizationdistributed optimizationnonconvex functionscollaborative neurodynamic optimizationtwo-timescale systems

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Two-timescale recurrent neural networks for distributed minimax optimization
• A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints
• Novel projection neurodynamic approaches for constrained convex optimization

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