Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/1143
Title: Duality in nonconvex vector optimization
Authors: Kasımbeyli, Refail
Karimi, Masoud
Keywords: Vector optimization
Separation theorem
Duality
Augmented Lagrangian
Saddle point criterion
Issue Date: 2021
Publisher: Springer
Abstract: In this paper, duality relations in nonconvex vector optimization are studied. An augmented Lagrangian function associated with the primal problem is introduced and efficient solutions to the given vector optimization problem, are characterized in terms of saddle points of this Lagrangian. The dual problem to the given primal one, is constructed with the help of the augmented Lagrangian introduced and weak and strong duality theorems are proved. Illustrative examples for duality relations are provided.
URI: https://doi.org/10.1007/s10898-021-01018-x
https://hdl.handle.net/20.500.13087/1143
ISSN: 0925-5001
1573-2916
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

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