(<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.
Authors
- Xiangyou Li (ORCID: https://orcid.org/0000-0001-7079-1061)
- Jing Yuan (ORCID: https://orcid.org/0000-0002-3548-5875)
Institutions
- Yan'an University (CN)
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