The aim of this paper is to study, starting from a separation scheme, some aspects of Lagrangian duality for vector constrained extremum problems. In particular, the image space approach and separation argument are exploited to derive a duality theorem. A class of nonconvex problems fulfilling the assumptions of such a theorem is outlined. The theorem is compared with similar results available in literature.
|Titolo:||On Lagrangian Duality in Vector Optimization|
PELLEGRINI, Letizia (Corresponding)
|Data di pubblicazione:||2020|
|Appare nelle tipologie:||01.01 Articolo in Rivista|