A one-layer recurrent neural network for robust linear programming subject to l∞ norm uncertainty

Robust optimization problems subject to norm uncertainty appear in numerous applications in various fields such as engineering, logistics, and finance. Despite its importance, robust optimization algorithms face significant computational challenges for solving high-dimensional problems, limiting the...

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Bibliographic Details

Published in:	Neural networks Vol. 194; p. 108144
Main Authors:	Hu, Jin, Zhou, Keying, Wang, Jun
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.02.2026
Subjects:	Neurodynamic optimization Nonsmooth optimization Norm uncertainty Robust linear programming Robust linear programming Nonsmooth optimization Norm uncertainty Neurodynamic optimization
ISSN:	0893-6080, 1879-2782, 1879-2782
Online Access:	Get full text
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