Gerstewitz nonlinear scalar functional and the applications in vector optimization problems
Filomat, Tome 36 (2022) no. 16, p. 5615

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In this paper, we study the properties of Gerstewitz nonlinear scalar functional with respect to co-radiant set and radiant set in real linear space. With the help of nonconvex separation theorem with respect to co-radiant set, we first obtain that Gerstewitz nonlinear scalar functional is a special co-radiant(radiant) functional when the corresponding set is a co-radiant(radiant) set. Based on the subadditivity property of this functional with respect to the convex co-radiant set, we calculate its Fenchel(approximate) subdifferential. As the applications, we derive the optimality conditions for the approximate solutions with respect to co-radiant set of vector optimization problem. We also state that this special functional can be used as a coherent measure in the portfolio problem.
DOI : 10.2298/FIL2216615G
Classification : 90C29, 90C30
Keywords: Gerstewitz nonlinear scalar functional, Co-radiant function, Radiant function, Vector optimization problem, Approximate solutions, Lagrange conditions
Ying Gao; Liping Tang. Gerstewitz nonlinear scalar functional and the applications in vector optimization problems. Filomat, Tome 36 (2022) no. 16, p. 5615 . doi: 10.2298/FIL2216615G
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     title = {Gerstewitz nonlinear scalar functional and the applications in vector optimization problems},
     journal = {Filomat},
     pages = {5615 },
     year = {2022},
     volume = {36},
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     doi = {10.2298/FIL2216615G},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2216615G/}
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