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Journal of Industrial and Management Optimization
Article . 2024 . Peer-reviewed
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zbMATH Open
Article . 2024
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The minimax exact penalty fuzzy function method for solving convex nonsmooth optimization problems with fuzzy objective functions

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2024Publisher:American Institute of Mathematical Sciences (AIMS)Journal:Journal of Industrial and Management Optimization, volume 20, pages 392-427 (issn: 1547-5816, eissn: 1553-166X, Copyright policy )
Authors: Antczak, Tadeusz;

doi: 10.3934/jimo.2023083

The minimax exact penalty fuzzy function method for solving convex nonsmooth optimization problems with fuzzy objective functions

Abstract

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Keywords

Numerical methods based on nonlinear programming, fuzzy penalized optimization problem, Nonlinear programming, convex fuzzy function, Nonsmooth analysis, nondifferentiable optimization problem with fuzzy objective function, exactness of the penalization, minimax exact penalty function method, Fuzzy and other nonstochastic uncertainty mathematical programming, Optimality conditions and duality in mathematical programming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold