2022
DOI: 10.1007/s10255-022-1079-3
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Generalized Lagrangian Duality in Set-valued Vector Optimization via Abstract Subdifferential

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“…It is known that duality assertions allow to study a minimization problem through a maximization problem and to know what one can expect in the best case. ere are many dual models in the literature, for instance, Lagrange dual (see [15,16]), Mond-Weir duality (see [17][18][19]), Wolfe duality (see [17,20]), conjugate duality (see [21]), and symmetric duality (see [22]). In this paper, we will introduce an approximate Mond-Weir dual model for the problem (VOP) and examine duality theorems between it and primal problem involving approximate quasi weakly e cient solution.…”
Section: Introductionmentioning
confidence: 99%
“…It is known that duality assertions allow to study a minimization problem through a maximization problem and to know what one can expect in the best case. ere are many dual models in the literature, for instance, Lagrange dual (see [15,16]), Mond-Weir duality (see [17][18][19]), Wolfe duality (see [17,20]), conjugate duality (see [21]), and symmetric duality (see [22]). In this paper, we will introduce an approximate Mond-Weir dual model for the problem (VOP) and examine duality theorems between it and primal problem involving approximate quasi weakly e cient solution.…”
Section: Introductionmentioning
confidence: 99%