A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization

Xinrui Jiang; Sitian Qin; Xiaoping Xue

doi:10.1016/j.neucom.2019.10.050

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A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization

Xinrui Jiang Sitian Qin Xiaoping Xue

Year: 2019 Journal: Neurocomputing Vol: 377 Pages: 225-233 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.10.050

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Keywords:

Mathematical optimization Affine transformation Constraint (computer-aided design) Optimization problem Penalty method Computer science Convex function Set (abstract data type) Convex optimization Artificial neural network Constrained optimization problem Constrained optimization Mathematics Regular polygon Artificial intelligence

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Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization

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