A neurodynamic optimization approach to nonconvex resource allocation problem

Author:

Chai Yiyuan,Li Guocheng,Qin Sitian,Feng Jiqiang,Xu Chen

Funder

Natural Science Foundation of Shenzhen City

National Natural Science Foundation of China

National Key Research and Development Program of China

National Key Laboratory Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Policy iteration approach to the infinite horizon average optimal control of probabilistic boolean networks;Wu;IEEE Trans. Neural Networks Learn. Syst.,2021

2. A review of distributed optimization: Problems, models and algorithms;Zheng;Neurocomputing,2021

3. Learning rates for stochastic gradient descent with nonconvex objectives;Lei;IEEE Trans. Pattern Anal. Mach. Intell.,2021

4. Initialization-free distributed fixed-time convergent algorithms for optimal resource allocation;Chen;IEEE Trans. Syst., Man, Cybern.: Syst.,2022

5. Communication efficient privacy-preserving distributed optimization using adaptive differential quantization;Li;Signal Processing,2022

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