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Lagrangian conditions for vector optimization in Banach spaces
, C. Tammer
Published in
2006
Volume: 64
   
Issue: 3
Pages: 521 - 540
Abstract
We consider vector optimization problems on Banach spaces without convexity assumptions. Under the assumption that the objective function is locally Lipschitz we derive Lagrangian necessary conditions on the basis of Mordukhovich subdifferential and the approximate subdifferential by Ioffe using a non-convex scalarization scheme. Finally, we apply the results for deriving necessary conditions for weakly efficient solutions of non-convex location problems. © Springer-Verlag 2006.
About the journal
JournalMathematical Methods of Operations Research
ISSN14322994