The aim of this note is to show that recent results concerning regularity conditions and constraint qualifications for generalized KKT multipliers, can be used also to obtain additional properties of the saddlepoints of the scalarized Lagrangian function of vector optimization problems. Moreover, we show the relationships between these properties and optimality conditions.
On Lagrangian Saddlepoints in Vector Optimization
BIGI, GIANCARLO;PAPPALARDO, MASSIMO
1999-01-01
Abstract
The aim of this note is to show that recent results concerning regularity conditions and constraint qualifications for generalized KKT multipliers, can be used also to obtain additional properties of the saddlepoints of the scalarized Lagrangian function of vector optimization problems. Moreover, we show the relationships between these properties and optimality conditions.File in questo prodotto:
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