Skip to main content
Log in

Stability of majorly efficient points and solutions in multiobjective programming

  • Published:
Applied Mathematics Aims and scope Submit manuscript

Abstract

In this paper, we obtain some other properties of the majorly efficient points and solutions of the multiobjective optimization presented in two previous papers of Hu. By decomposing the major cone, which is non-pointed, non-convex and non-closed into a finite union of disjoint strictly supported pointed convex cones, we discuss the continuous perturbations of the decision space. Several sufficient conditions for the continuity of the sets of majorly efficient points and solutions are given.

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. Bednarczuk, E., On upper semicontinuity of global minima in constrained optimization problems,J. Math. Anal. Appl,86 (1982), 309–318.

    Article  MATH  Google Scholar 

  2. Bitran, G.R. and Magnahti, T.L., The structure of admissible points with respect to cone dominance,J. Optim. Theory Appl.,29 (1979), 573–614.

    Article  MATH  Google Scholar 

  3. Deumlich, R. and Elster, K.M., On perturbations of certain nonconvex optimization problems,J. Optim. Theory Appl.,48 (1986), 81–93.

    MATH  Google Scholar 

  4. Hertley, R., On cone-efficiency, cone-convexity and cone-compactness,SIAM J. Appl. Math.,34 (1978), 211–222.

    Article  Google Scholar 

  5. Hogan, W., Point-to-set maps in mathematical programming,SIAM, Rev.,15 (1973), 591–603.

    Article  MATH  Google Scholar 

  6. Hu Yuda, Majored order in vector space,Chinese Ann. Math. Ser. A,11 (1989), 269–280. (Chinese)

    Google Scholar 

  7. Hu Yuda, Satisfactory efficiency of multiple objective optimization problems, in: Proceedings of the American ORSA, Management Science & Engineering Publishing Company, San Francisco, 1984, pp. 200–206.

  8. Naccache, P.H., Stability in multicriteria optimization,J. Math. Anal. Appl.,68 (1979), 441–453.

    Article  MATH  Google Scholar 

  9. Penot, J.P. and Alicja, S.K., Parametrized multicriteria optimization: Continuity and closedness of optimal multifunctions,J. Math. Anal. Appl.,120 (1986), 150–168.

    Article  MATH  Google Scholar 

  10. Rockafeller, T.R., Convex Analysis Princeton University Press, New York, 1970.

    Google Scholar 

  11. Sawaragi, Y., Nakayama, H. and Tanino, T., Theory of Multiobjective Optimization, Academic Press, Orlando, Florida, 1985.

    MATH  Google Scholar 

  12. Tanino, T. and Sawaragi, Y., Stability of nondominated solutions in multicriteria decision-making,J. Optim. Theory Appl.,30 (1980), 229–253.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Guohua, G., Yuda, H. Stability of majorly efficient points and solutions in multiobjective programming. Appl. Math. 10, 313–324 (1995). https://doi.org/10.1007/BF02662873

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02662873

1991 MR Subject Classification

Keywords

Navigation