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Calmness and Exact Penalization in Vector Optimization under Nonlinear Perturbations

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Abstract

In this paper, we study the relationship between calmness and exact penalization for vector optimization problems under nonlinear perturbations. Some sufficient conditions for the problem calmness are also derived.

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References

  1. Burke, J.V.: An exact penalization viewpoint of constrained optimization. SIAM J. Control Optim. 29, 968–998 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  2. Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York (1983)

    MATH  Google Scholar 

  3. Fiacco, A., McCormic, G.: Nonlinear Programming: Sequential Unconstrained Minimization Techniques. Wiley, New York (1968)

    MATH  Google Scholar 

  4. Fletcher, R.: Practical Methods of Optimization. Wiley, New York (1987)

    MATH  Google Scholar 

  5. Luo, Z.Q., Pang, J.S., Ralph, D.: Mathematical Programs with Equilibrium Constraints. Cambridge University Press, New York (1997)

    MATH  Google Scholar 

  6. Rosenberg, E.: Exact penalty functions and stability in locally Lipschitz programming. Math. Program. 30, 340–356 (1984)

    Article  MATH  Google Scholar 

  7. Burke, J.V.: Calmness and exact penalization. SIAM J. Control Optim., 493–497 (1991)

  8. Clarke, F.H.: A new approach to Lagrange multipliers. Math. Oper. Res. 1, 165–174 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  9. Huang, X.X., Teo, K.L., Yang, X.Q.: Calmness and exact penalization in vector optimization with cone constraints. Comput. Optim. Appl. 35, 47–67 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  10. Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer, Berlin (1998)

    Book  MATH  Google Scholar 

  11. Huang, X.X., Yang, X.Q.: A unified augmented Lagrangian approach to duality and exact penalization. Math. Oper. Res. 28, 533–552 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  12. Rubinov, A.M., Glover, B.M., Yang, X.Q.: Decreasing functions with applications to penalization. SIAM J. Optim. 10, 289–313 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  13. Rubinov, A.M., Yang, X.Q.: Lagrange-Type Functions in Constrained Nonconvex Optimization. Kluwer Academic Publishers, New York (2003)

    Book  Google Scholar 

  14. Chen, G.Y., Huang, X.X., Yang, X.Q.: Vector Optimization, Set-Valued and Variational Analysis. Lecture Notes in Economics and Mathematical Systems, vol. 541. Springer, Berlin (2005)

    MATH  Google Scholar 

  15. Huang, X.X., Yang, X.Q.: Nonlinear Lagrangian for multiobjective optimization problems and applications to duality and exact penalization. SIAM J. Optim. 13, 675–692 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  16. Ruan, G.Z., Huang, X.X.: Weak calmness and weak stability of multiobjective programming and its penalty functions. J. Syst. Sci. Math. Sci. 12, 148–157 (1992) (in Chinese)

    MATH  MathSciNet  Google Scholar 

  17. White, D.J.: Multiobjective programming and penalty functions. J. Optim. Theory Appl. 43, 583–599 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  18. Uderzo, A.: Exact penalty functions and calmness for mathematical programming under nonlinear perturbations. Nonlinear Anal. 73, 1596–1609 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  19. Mordukhovich, B.S.: Multiobjective optimization problems with equilibrium constraints. Math. Program., Ser. B 117, 331–354 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  20. Dien, P.H., Mastroeni, G., Pappalardo, M., Quang, P.H.: Regularity conditions for constrained extremum problems via image space. J. Optim. Theory Appl. 80, 19–37 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  21. Mastroeni, G., Pellegrini, L.: Conic separation for vector optimization problems. Optimization 60, 129–142 (2011)

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant number: 1107126, 90924009, 71101160), by the Fundamental Research Funds for the Central Universities of China (Grant number: CDJXS12 02 00 26). The authors thank Professor F. Giannessi and the anonymous reviewers for their detailed and constructive comments, which help improve the presentation of the paper.

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Correspondence to J. Zhai.

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Communicated by Johannes Jahn.

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Zhai, J., Huang, X.X. Calmness and Exact Penalization in Vector Optimization under Nonlinear Perturbations. J Optim Theory Appl 162, 856–872 (2014). https://doi.org/10.1007/s10957-013-0338-0

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  • DOI: https://doi.org/10.1007/s10957-013-0338-0

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