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Set Approach for Set Optimization with Variable Ordering Structures Part II: Scalarization Approaches

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Abstract

This paper combines variable ordering structures with set relations in set optimization. We continue our examinations of set optimization problems and use the optimality notions as well as the set relations introduced in the paper (Eichfelder and Pilecka in Set Approach for Set Optimization with Variable Ordering Structures Part I: Set Relations and Relationship to Vector Approach, 2016). We present linear scalarization results and a new nonlinear scalarization approach for set relations. Moreover, we introduce some additional set relations which allow us to investigate connections between our results, based on the set approach, and others presented in the literature which are based on the vector approach. This gives us the possibility to apply the optimality conditions derived there to our concepts.

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References

  1. Eichfelder, G., Pilecka, M.: Set approach for set optimization with variable ordering structures part I: set relations and relationship to vector approach. J. Optim. Theory Appl. (2016). doi:10.1007/s10957-016-0992-0

  2. Jahn, J.: Vectorization in set optimization. J. Optim. Theory Appl. 167, 783–795 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  3. Hernández, E., Rodríguez-Marín, L.: Nonconvex scalarization in set optimization with set-valued maps. J. Math. Anal. Appl. 325, 1–18 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  4. Gutiérrez, C., Jiménez, B., Miglierina, E., Molho, E.: Scalarization in set optimization with solid and nonsolid ordering cones. J. Glob. Optim. 61, 525–552 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  5. Jahn, J.: Bishop–Phelps cones in optimization. Int. J. Optim.: Theory Methods Appl. 1, 123–139 (2009)

    MathSciNet  MATH  Google Scholar 

  6. Petschke, M.: On a theorem of Arrow, Barankin, and Blackwell. SIAM J. Control Optim. 28, 395–401 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  7. Eichfelder, G.: Variable Ordering Structures in Vector Optimization. Springer, Heidelberg (2014)

    Book  MATH  Google Scholar 

  8. Eichfelder, G., Ha, T.X.D.: Optimality conditions for vector optimization problems with variable ordering structures. Optimization 62, 597–627 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  9. Engau, A.: Variable preference modeling with ideal-symmetric convex cones. J. Glob. Optim. 42, 295–311 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  10. Kuroiwa, D., Tanaka, T., Ha, T.X.D.: On cone convexity of set-valued maps. Nonlinear Anal. 30, 1487–1496 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  11. Durea, M., Strugariu, R., Tammer, C.: On set-valued optimization problems with variable ordering structure. J. Glob. Optim. 61, 745–767 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  12. Jahn, J.: Vector Optimization. Springer, Berlin (2004)

    Book  MATH  Google Scholar 

  13. Eichfelder, G.: Optimal elements in vector optimization with a variable ordering structure. J. Optim. Theory Appl. 151, 217–240 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  14. Kosmol, P., Müller-Wichards, D.: Optimization in Function Spaces with Stability Considerations in Orlicz Spaces. De Gruyter, Berlin (2011)

    MATH  Google Scholar 

  15. Bank, B., Guddat, J., Klatte, D., Kummer, B., Tammer, K.: Non-linear Parametric Optimization. Birkhäuser, Basel (1983)

    MATH  Google Scholar 

  16. Jahn, J.: A derivative-free descent method in set optimization. Comput. Optim. Appl. 60, 393–411 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  17. Zheng, X.Y.: Pareto solutions of polyhedral-valued vector optimization problems in banach spaces. Set-Valued Anal. 17, 389–408 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  18. Köbis, E., Köbis, M.: Treatment of Set Order Relations by Means of a Nonlinear Scalarization Functional: A Full Characterization. Report No. 05, University of Halle-Wittenberg (2015)

  19. Eichfelder, G.: Numerical procedures in multiobjective optimization with variable ordering structures. J. Optim. Theory Appl. 162, 489–514 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  20. Rodríguez-Marín, L., Sama, M.: \((\Lambda, C)\)-contingent derivatives of set-valued maps. Math. Anal. Appl. 335, 974–989 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  21. Kuroiwa, D.: On derivatives of set-valued maps and optimality conditions for set optimization. J. Nonlinear Convex Anal. 10, 41–50 (2009)

    MathSciNet  MATH  Google Scholar 

  22. Jahn, J.: Directional derivatives in set optimization with the set less order relation. Taiwan. J. Math. 19, 737–757 (2015)

    Article  MathSciNet  Google Scholar 

  23. Pilecka, M.: Set-Valued Optimization and Its Application to Bilevel Optimization. PhD Thesis, TU Bergakademie Freiberg (2016)

  24. Khan, A., Tammer, C., Zǎlinescu, C.: Set-Valued Optimization—An Introduction with Applications. Springer, Heidelberg (2015)

    MATH  Google Scholar 

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Acknowledgments

The authors are very grateful to the anonymous referees and the editors for valuable suggestions and comments on both parts of the paper that significantly helped to improve the quality of the paper.

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Correspondence to Gabriele Eichfelder.

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Communicated by Nguyen Dong Yen.

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Eichfelder, G., Pilecka, M. Set Approach for Set Optimization with Variable Ordering Structures Part II: Scalarization Approaches. J Optim Theory Appl 171, 947–963 (2016). https://doi.org/10.1007/s10957-016-0993-z

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  • DOI: https://doi.org/10.1007/s10957-016-0993-z

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