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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Veröffentlicht in:	Neural networks Jg. 194; S. 108144
Hauptverfasser:	Hu, Jin, Zhou, Keying, Wang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.02.2026
Schlagworte:	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-Zugang:	Volltext
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