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Lagrangian Duality in Set-Valued Optimization

Author

Listed:
  • E. Hernández

    (Universidad Nacional de Educación a Distancia)

  • L. Rodríguez-Marín

    (Universidad Nacional de Educación a Distancia)

Abstract

In this paper, we study optimization problems where the objective function and the binding constraints are set-valued maps and the solutions are defined by means of set-relations among all the images sets (Kuroiwa, D. in Takahashi, W., Tanaka, T. (eds.) Nonlinear analysis and convex analysis, pp. 221–228, 1999). We introduce a new dual problem, establish some duality theorems and obtain a Lagrangian multiplier rule of nonlinear type under convexity assumptions. A necessary condition and a sufficient condition for the existence of saddle points are given.

Suggested Citation

  • E. Hernández & L. Rodríguez-Marín, 2007. "Lagrangian Duality in Set-Valued Optimization," Journal of Optimization Theory and Applications, Springer, vol. 134(1), pages 119-134, July.
  • Handle: RePEc:spr:joptap:v:134:y:2007:i:1:d:10.1007_s10957-007-9237-6
    DOI: 10.1007/s10957-007-9237-6
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    References listed on IDEAS

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    1. X. D. H. Truong, 1997. "Cones Admitting Strictly Positive Functionals and Scalarization of Some Vector Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 93(2), pages 355-372, May.
    2. P. H. Sach, 2003. "Nearly Subconvexlike Set-Valued Maps and Vector Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 119(2), pages 335-356, November.
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