Skip to main content

Advertisement

Log in

Scalarization in Geometric and Functional Vector Optimization Revisited

  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

The aim of this paper is to provide a survey of some recent results in the field of optimality conditions in vector optimization with geometric and inequality/equality constraints. Moreover, the discussion we initiate leads us to consider new situations which were not previously studied.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Dutta, J., Tammer, C.: Lagrangian conditions for vector optimization in Banach spaces. Math. Methods Oper. Res. 64, 521–541 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  2. Durea, M., Tammer, C.: Fuzzy necessary optimality conditions for vector optimization problems. Optimization 58, 449–467 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Zaffaroni, A.: Degrees of efficiency and degrees of minimality. SIAM J. Control Optim. 42, 1071–1086 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  4. Göpfert, A., Riahi, H., Tammer, C., Zălinescu, C.: Variational Methods in Partially Ordered Spaces. Springer, Berlin (2003)

    MATH  Google Scholar 

  5. Zheng, X.Y., Ng, K.F.: The Fermat rule for multifunctions on Banach spaces. Math. Program., Ser. A 104, 69–90 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  6. Bao, T.Q., Mordukhovich, B.S.: Relative Pareto minimizers for multiobjective problems: existence and optimality conditions. Math. Program. 122, 301–347 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  7. Durea, M., Strugariu, R.: On some Fermat rules for set-valued optimization problems. Optimization 60, 575–591 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  8. Durea, M., Dutta, J.: Lagrange multipliers for Pareto minima in general Banach spaces. Pac. J. Optim. 4, 447–463 (2008)

    MathSciNet  MATH  Google Scholar 

  9. Bao, T.Q., Tammer, C.: Lagrange necessary conditions for Pareto minimizers in Asplund spaces and applications. Nonlinear Anal. 75, 1089–1103 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  10. Durea, M., Dutta, J., Tammer, C.: Lagrange multipliers for ε-Pareto solutions in vector optimization with non solid cones in Banach spaces. J. Optim. Theory Appl. 145, 196–211 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  11. Hiriart-Urruty, J.-B.: Tangent cones, generalized gradients and mathematical programming in Banach spaces. Math. Oper. Res. 4, 79–97 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  12. Jules, F.: Sur la somme de sous-différentiels de fonctions semi-continues inférieurement. Dissert. Math. 423 (2003)

  13. Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation, Vol. I: Basic Theory, Vol. II: Applications. Springer, Berlin (2006)

    Book  Google Scholar 

  14. Durea, M.: On the existence and stability of approximate solutions of perturbed vector equilibrium problems. J. Math. Anal. Appl. 333, 1165–1176 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  15. Zălinescu, C.: Stability for a class of nonlinear optimization problems and applications. In: Nonsmooth Optimization and Related Topics, Erice, 1988, pp. 437–458. Plenum, New York (1989)

    Chapter  Google Scholar 

  16. Maeda, T.: Constraint qualifications in multiobjeetive optimization problems: differentiable case. J. Optim. Theory Appl. 80, 483–500 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  17. Miettinen, K.: Nonlinear Multiobjective Optimization. Kluwer, Boston (1999)

    MATH  Google Scholar 

  18. Jiménez, B., Novo, V.: Alternative theorems and necessary optimality conditions for directionally differentiable multiobjective programs. J. Convex Anal. 9, 97–116 (2002)

    MathSciNet  MATH  Google Scholar 

  19. Bigi, G.: Optimality and Lagrangian regularity in vector optimization. PhD Thesis, Università di Pisa (2003)

  20. Durea, M., Dutta, J., Tammer, C.: Bounded sets of Lagrange multipliers for vector optimization problems in infinite dimension. J. Math. Anal. Appl. 348, 589–606 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  21. Huang, N.J., Li, J., Wu, S.Y.: Optimality conditions for vector optimization problems. J. Optim. Theory Appl. 142, 323–342 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  22. Mangasarian, O.L.: Nonlinear Programming. McGraw-Hill, New York (1969)

    MATH  Google Scholar 

  23. Ye, J.J.: Nondifferentiable multiplier rules for optimization and bilevel optimization problems. SIAM J. Optim. 15, 252–274 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  24. Zheng, X.Y., Ng, K.F.: The Lagrange multiplier rule for multifunctions on Banach spaces. SIAM J. Optim. 17, 1154–1175 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  25. Bellaassali, S., Jourani, A.: Lagrange multipliers for multiobjective programs with a general preference. Set-Valued Anal. 16, 229–243 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  26. Michel, P., Penot, J.-P.: Calcul sous-différentiel pour des fonctions lipschitziennes et non lipschitziennes. C. R. Acad. Sci. Paris Sér. I Math. 12, 269–272 (1984)

    MathSciNet  Google Scholar 

  27. Michel, P., Penot, J.-P.: A generalized derivative for calm and stable functions. Differ. Integral Equ. 5, 433–454 (1992)

    MathSciNet  MATH  Google Scholar 

  28. Bonnans, J.F., Shapiro, A.: Perturbation Analysis of Optimization Problems. Springer, Berlin (2000)

    MATH  Google Scholar 

  29. Ekeland, I.: On the variational principle. J. Math. Anal. Appl. 47, 324–353 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  30. Ehrgott, M.: Multicriteria Optimization. Springer, Berlin (2005)

    MATH  Google Scholar 

  31. Fabian, M., Mordukhovich, B.S.: Sequential normal compactness versus topological normal compactness in variational analysis. Nonlinear Anal. 54, 1057–1067 (2003)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

The work of M. Durea and R. Strugariu was supported by a grant of the Romanian National Authority for Scientific Research, CNCS–UEFISCDI, project number PN-II-ID-PCE-2011-3-0084.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christiane Tammer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Durea, M., Strugariu, R. & Tammer, C. Scalarization in Geometric and Functional Vector Optimization Revisited. J Optim Theory Appl 159, 635–655 (2013). https://doi.org/10.1007/s10957-013-0360-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-013-0360-2

Keywords

Navigation