Nonsmooth KKT-type optimality and duality for multiobjective fractional bilevel optimization via tangential subdifferentials

This paper studies a class of nondifferentiable multiobjective fractional bilevel optimization problems. Under suitable nonsmooth constraint qualifications, necessary optimality conditions of the Karush– Kuhn–Tucker (KKT) type are established using tangential subdifferentials. Sufficient optimality conditions are further derived under Dini generalized convexity assumptions characterized through tangential subdifferential. Moreover, nonsmooth Wolfe-type dual models are formulated for the considered problems, and both weak and strong duality theorems are proved under appropriate convexity hypotheses. Numerical examples are provided to illustrate the applicability of the theoretical results.

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Publication Details

Journal
Results in Applied Mathematics
Published
2026-09-24
DOI
https://doi.org/10.1016/j.rinam.2026.100774
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Nonsmooth KKT-type optimality and duality for multiobjective fractional bilevel optimization via tangential subdifferentials

Savin Treanţă, Yogendra Pandey, Rishabh Pandey, Vinay Singh
Results in Applied Mathematics
Optimization and Variational Analysis
article

Nonsmooth KKT-type optimality and duality for multiobjective fractional bilevel optimization via tangential subdifferentials

Savin Treanţă, Yogendra Pandey, Rishabh Pandey, Vinay Singh
article en

Abstract

This paper studies a class of nondifferentiable multiobjective fractional bilevel optimization problems. Under suitable nonsmooth constraint qualifications, necessary optimality conditions of the Karush– Kuhn–Tucker (KKT) type are established using tangential subdifferentials. Sufficient optimality conditions are further derived under Dini generalized convexity assumptions characterized through tangential subdifferential. Moreover, nonsmooth Wolfe-type dual models are formulated for the considered problems, and both weak and strong duality theorems are proved under appropriate convexity hypotheses. Numerical examples are provided to illustrate the applicability of the theoretical results.

Results in Applied MathematicsVol. 32
Mizoram University (IN), Academia Oamenilor de Știință din România (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Reduced inequalities
Openalex Percentile: Top 9%
Optimization and Variational Analysis
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