Geodesic
On efficient solutions for semidefinite linear fractional vector optimization problems
Minimax theory and its applications, Tome 9 (2024) no. 2
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We consider a semidefinite linear fractional vector optimization problem (FVP) and establish optimality theorem for efficient solutions for (FVP), which hold without any constraint qualification and which are expressed by sequences. Moreover, we discuss the relations between properly efficient solution of (FVP) and one of its related linear vector optimization problem (LVP). By using the relation, we obtain optimality theorem for properly efficient solutions for (FVP), which hold without any constraint qualification and which are expressed by sequences.
Mots-clés : Semidefinite linear fractional vector optimization problem, efficient solutions, properly efficient solutions, optimality conditions, vector dual problem, weak duality theorem, strong duality theorem 
@article{MTA_2024_9_2_a10,
     author = {Moon Hee Kim and Gue Myung Lee},
     title = {On efficient solutions for semidefinite linear fractional vector optimization problems},
     journal = {Minimax theory and its applications},
     year = {2024},
     volume = {9},
     number = {2},
     zbl = {1563.90189},
     url = {http://geodesic.mathdoc.fr/item/MTA_2024_9_2_a10/}
}
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Moon Hee Kim; Gue Myung Lee. On efficient solutions for semidefinite linear fractional vector optimization problems. Minimax theory and its applications, Tome 9 (2024) no. 2. http://geodesic.mathdoc.fr/item/MTA_2024_9_2_a10/