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Vector critical points and efficiency in vector optimization with Lipschitz functions

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Abstract

In this work, we establish some relations between several notions of vector critical points and efficient, weak efficient and ideal efficient solutions of a vector optimization problem with a locally Lipschitz objective function. These relations are stated under pseudoinvexity hypotheses and via the generalized Jacobian. We provide a characterization of pseudoinvexity (resp. strong pseudoinvexity) through the property that every vector critical point is a weak efficient (resp. efficient) solution. We also obtain some properties of invex functions in connection with linear scalarizations. Several examples illustrating our results are also provided.

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References

  1. Arana-Jiménez, M., Rufián-Lizana, A., Osuna-Gómez, R., Ruiz-Garzón, G.: A characterization of pseudoinvexity in multiobjective programming. Math. Comput. Model. 48, 1719–1723 (2008)

    Article  MATH  Google Scholar 

  2. Ben-Israel, A., Mond, B.: What is invexity? J. Aust. Math. Soc. Ser. B 28, 1–9 (1986)

    Article  MATH  MathSciNet  Google Scholar 

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

    MATH  Google Scholar 

  4. Guerraggio, A., Luc, D.T.: Optimality conditions for C\(^{1,1}\) vector optimization problems. J. Optim. Theory Appl. 109, 615–629 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  5. Gutiérrez, C., Jiménez, B., Novo, V., Ruiz-Garzón, G.: Vector variational-like inequalities and multiobjective optimization with Lipschitz functions. Submitted (2014)

  6. Martin, D.H.: The essence of invexity. J. Optim. Theory Appl. 47, 65–76 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  7. Martínez-Legaz, J.E.: What is invexity with respect to the same \(\eta \). Taiwan. J. Math. 13, 753–755 (2009)

    MATH  Google Scholar 

  8. Mishra, S.K., Wang, S.Y.: Vector variational-like inequalities and non-smooth vector optimization problems. Nonlinear Anal. 64, 1939–1945 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  9. Osuna-Gómez, R., Beato-Moreno, A., Rufián-Lizana, A.: Generalized convexity in multiobjective programming. J. Math. Anal. Appl. 233, 205–220 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  10. Osuna-Gómez, R., Rufián-Lizana, A., Ruíz-Canales, P.: Invex functions and generalized convexity in multiobjective programming. J. Optim. Theory Appl. 98, 651–661 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  11. Phuong, T.D., Sach, P.H., Yen, N.D.: Strict lower semicontinuity of the level sets and invexity of a locally Lipschitz function. J. Optim. Theory Appl. 87, 579–594 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  12. Rockafellar, R.T.: Convex Analysis. Princeton University Press, Princeton (1970)

    Book  MATH  Google Scholar 

  13. Ruiz-Garzón, G., Osuna-Gómez, R., Rufián-Lizana, A.: Relationships between vector variational-like inequality and optimization problems. Eur. J. Oper. Res. 157, 113–119 (2004)

    Article  MATH  Google Scholar 

  14. Santos, L.B., Ruiz-Garzón, G., Rojas-Medar, M.A., Rufián-Lizana, A.: Some relations between variational-like inequality problems and vectorial optimization problems in Banach spaces. Comput. Math. Appl. 55, 1808–1814 (2008)

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgments

The authors are grateful to the anonymous referees and the Associate Editor for their helpful comments and suggestions. This research was partially supported for the first three authors by the Ministerio de Economía y Competitividad (Spain) under project MTM2012-30942 and for the fourth author by Ministerio de Ciencia e Innovación (Spain) under project MTM2010-15383.

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Correspondence to V. Novo.

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Gutiérrez, C., Jiménez, B., Novo, V. et al. Vector critical points and efficiency in vector optimization with Lipschitz functions. Optim Lett 10, 47–62 (2016). https://doi.org/10.1007/s11590-015-0850-2

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