(<i>G, V</i>)-invexity nondifferentiable generalized minimax fractional programming

In this paper, we study the nondifferentiable generalized minimax fractional programming problem under ( G, V )-invexity. G -sufficient optimality conditions for the considered nondifferentiable generalized minimax fractional programming problem are established under the concept of ( G, V )-invexity. Further, two types of dual models are formulated and G -duality theorems relating to the primal minimax fractional programming problem and dual problems are established. These results extend several known results to a wider class of programs.

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Publication Details

Journal
RAIRO. Operations research
Published
2024-08-16
DOI
https://doi.org/10.1051/ro/2024166
Citations
1
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.36
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article

(G, V)-invexity nondifferentiable generalized minimax fractional programming

Xiangyou Li, Jing Yuan
1 citations
RAIRO. Operations research
Optimization and Variational Analysis
0.36
article

(G, V)-invexity nondifferentiable generalized minimax fractional programming

Xiangyou Li, Jing Yuan
article en
1 citations

Abstract

In this paper, we study the nondifferentiable generalized minimax fractional programming problem under ( G, V )-invexity. G -sufficient optimality conditions for the considered nondifferentiable generalized minimax fractional programming problem are established under the concept of ( G, V )-invexity. Further, two types of dual models are formulated and G -duality theorems relating to the primal minimax fractional programming problem and dual problems are established. These results extend several known results to a wider class of programs.

RAIRO. Operations researchVol. 58(5)
Yan'an University (CN)
Openalex Percentile: Top 37%
Optimization and Variational Analysis
0.36
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(<i>G, V</i>)-invexity nondifferentiable generalized minimax fractional programming — Xiangyou Li, Jing Yuan · RAIRO. Operations research (2024) | TGRS Research Map | TGRS