Sequential approximate solutions for robust fractional optimization problems

The purpose of this paper is to establish sequential optimality conditions characterizing completely an approximate solution for a scalar constrained robust fractional optimization problem in the absence of constraint qualifications.Our approach is based essentially on the use of a combination of conjugate analysis and the concept of approximate subdifferential.Finally, we present an example to illustrate our main results.

Publication Details

Journal
Journal of Applied and Numerical Optimization
Published
2025-01-01
DOI
https://doi.org/10.23952/jano.7.2025.2.05
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
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article

Sequential approximate solutions for robust fractional optimization problems

Journal of Applied and Numerical Optimization
Optimization and Mathematical Programming
article

Sequential approximate solutions for robust fractional optimization problems

article en

Abstract

The purpose of this paper is to establish sequential optimality conditions characterizing completely an approximate solution for a scalar constrained robust fractional optimization problem in the absence of constraint qualifications.Our approach is based essentially on the use of a combination of conjugate analysis and the concept of approximate subdifferential.Finally, we present an example to illustrate our main results.

Journal of Applied and Numerical OptimizationVol. 7(2)
Openalex Percentile: Top 78%
Optimization and Mathematical Programming
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Sequential approximate solutions for robust fractional optimization problems · Journal of Applied and Numerical Optimization (2025) | TGRS Research Map | TGRS