Title of article
Duality for multiobjective optimization problems with convex objective functions and D.C. Constraints
Author/Authors
Radu Ioan Bo¸t ?، نويسنده , , 1، نويسنده , , Gert Wanka، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2006
Pages
18
From page
526
To page
543
Abstract
In this paper we provide a duality theory for multiobjective optimization problems with convex
objective functions and finitely many D.C. constraints. In order to do this, we study first the duality
for a scalar convex optimization problem with inequality constraints defined by extended real-valued
convex functions. For a family of multiobjective problems associated to the initial one we determine
then, by means of the scalar duality results, their multiobjective dual problems. Finally, we consider
as a special case the duality for the convex multiobjective optimization problem with convex
constraints.
2005 Elsevier Inc. All rights reserved.
Keywords
Multiobjective Optimization , Conjugate duality , Optimality conditions , D.C. constraints
Journal title
Journal of Mathematical Analysis and Applications
Serial Year
2006
Journal title
Journal of Mathematical Analysis and Applications
Record number
934368
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