Skip to main content
Log in

Upper-semi-continuity and cone-concavity of multi-valued vector functions in a duality theory for vector optimization

  • Published:
Mathematical Methods of Operations Research Aims and scope Submit manuscript

Abstract

Following a few words on multifunctions in the mathematical literature, a very brief recall on dual spaces, some preliminary notations and definitions in the introduction, we give some results on those functions in the second paragraph. In the third paragraph, a duality theory in cone-optimization involving multifunctions is developed with the concept of the strong instead of the weak cone-optimality criterium. The results so obtained account for existing ones on univocal vector-function optimization and they hold in spaces of arbitrary dimension.

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. Berge C (1959) Espaces topologiques. Fonctions multivoques. Dunod, Paris

    Google Scholar 

  2. Robinson SM (1979) Generalized equations and their solutions, part 1: Basic theory. Mathematical Programming Study 10:128–141

    Google Scholar 

  3. Aubin JP, Cellina A (1984) Differential inclusions, set-valued maps and viability theory. Springer Verlag, Berlin

    Google Scholar 

  4. Klein K, Thompson AC (1984) Theory of correspondances. John Wiley, New York

    Google Scholar 

  5. Castaing C, Valadier M (1977) Convex analysis and measurable multifunctions. Springer Verlag, Berlin

    Google Scholar 

  6. Rockafellar RT (1972) Convex analysis. Princeton University Press, Princeton, New Jersey

    Google Scholar 

  7. Tanino T, Sawaragi Y (1979) Density theory in multiobjective programming. Journal of Optimization Theory and Applications 27:509–529

    Google Scholar 

  8. Nakayama H (1984) Geometric consideration in vector optimization. Journal of Optimization Theory and Applications 44, 4:625–655

    Google Scholar 

  9. Luc DT (1979) On duality theory in multiobjective programming. Journal of Optimization Theory and Applications 27:509–529

    Google Scholar 

  10. Tanino T (1988) Sensitivity analysis in multiobjective optimization. Journal of Optimization Theory and Applications 56, 3:479–499

    Google Scholar 

  11. Giannessi F (1987) Theorems of the alternative for multifunctions with applications to optimization: General results. Journal of Optimization Theory and Applications 55, 2:233–256

    Google Scholar 

  12. Zangwill WL (1969) Nonlinear programming: A unified approach. Prentice Hall, Englewood cliffs, New Jersey

    Google Scholar 

  13. Hogan WW (1973) Point to set maps in mathematical programming. Siam Review 15:591–603

    Google Scholar 

  14. Corley HW (1988) Optimality conditions for maximizations of set-valued functions. Journal of Optimization Theory and Applications 58, 1:1–10

    Google Scholar 

  15. Kawasaki H (1982) A duality theory in multiobjective nonlinear programming. Mathematics of Operations Research 7:95–110

    Google Scholar 

  16. Corley HW (1987) Existence and Lagrangian duality for maximization of set-valued functions. Journal of Optimization Theory and Applications 54, 3:489–501

    Google Scholar 

  17. Jahn J (1983) Duality in vector optimization. Mathematical Programming 25:343–355

    Google Scholar 

  18. Kouada I (1994) Sur la dualité en optimisation vectorielle convexe. Recherche Operationnelle/Operations Research 38:255–281

    Google Scholar 

  19. Jahn J (1986) Mathematical vector optimization in partially ordered linear spaces. Verlag Peter Lang, Frankfurt-Am-Main

    Google Scholar 

  20. Laurent PJ (1972) Approximation et optimisation. Hermann, Paris

    Google Scholar 

  21. Schaefer HH (1971) Topological vector spaces. Springer Verlag, Berlin

    Google Scholar 

  22. Rudin W (1973) Functional analysis. Tata McGraw-Hill Publishing Company LTD, New Delhi

    Google Scholar 

  23. Rudin W (1966) Real and complex analysis. McGraw-Hill Book Company, New York

    Google Scholar 

  24. Schwartz L (1970) Analyse, topologie générale et analyse fonctionnelle. Hermann, Paris

    Google Scholar 

  25. Aubin J (1981) Contingent derivatives of set-valued maps and existence of solutions to nonlinear inclusions and differential inclusions. In: Nachbin L (ed.) Advances in Mathematies, Supplementary Studies, Academic Press, New York, pp. 160–232

    Google Scholar 

  26. Tardella F (1989) Some topological properties in optimization theory. Journal of Optimization Theory and Applications 60, 1:105–116

    Google Scholar 

  27. Mangasarian OL (1969) Nonlinear programming. McGraw-Hill Book Company, New York

    Google Scholar 

  28. Kouada IA (1994) Technical note on duality in linear vector maximization. Recherche Operationnelle/Operations Research 28, 2:203–207

    Google Scholar 

  29. Hiriat-Urruty JB (1985) Images of connected sets by semi-continuous multifunctions. J. Mathematical Analysis and Application 111:407–422

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

The author is grateful to the refuree's helpful suggestions.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kouada, I. Upper-semi-continuity and cone-concavity of multi-valued vector functions in a duality theory for vector optimization. Mathematical Methods of Operations Research 46, 169–192 (1997). https://doi.org/10.1007/BF01217689

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01217689

Key words

Navigation