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Strongly Proper Efficient Solutions: Efficient Solutions with Bounded Trade-Offs

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Abstract

In multiple-objective optimization literature, a properly efficient solution has been interpreted as a point in which the trade-offs between all objectives are bounded. In this paper, it is shown that this boundedness does not necessarily hold for problems with three or more objective functions. It is possible that in a properly efficient solution the trade-offs between some objectives are unbounded. To overcome this, in this paper strongly proper efficient solutions are introduced, in which the trade-offs between all objectives are bounded. This notion is defined in different senses, and the relationships between them are investigated. In addition to theoretical discussions, some clarifying examples are given.

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References

  1. Benson, H.P.: An improved definition of proper efficiency for vector maximization with respect to cones. J. Math. Anal. Appl. 71, 232–241 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  2. Kuhn, H., Tucker, A.: Nonlinear programming. In: Neyman, J. (ed.) Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, pp. 481–492. University of California Press, Berkeley, CA (1951)

    Google Scholar 

  3. Geoffrion, A.: Proper efficiency and the theory of vector maximization. J. Math. Anal. Appl. 22, 618–630 (1968)

    Article  MathSciNet  MATH  Google Scholar 

  4. Borwein, J.M.: Proper efficient points for maximization with respect to cones. SIAM J. Control Optim. 15, 57–63 (1977)

    Article  MATH  Google Scholar 

  5. Henig, M.: Proper efficiency with respect to cones. J. Optim. Theory Appl. 36(3), 387–407 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  6. Ehrgott, M.: Multicriteria Optimization. Springer, Berlin (2005)

    MATH  Google Scholar 

  7. Jimnez, B., Novo, V.: A notion of local proper efficiency in the Borwein sense in vector optimisation. ANZIAM J. 45(1), 75–89 (2003)

    Article  MathSciNet  Google Scholar 

  8. Lalitha, C.S., Arora, R.: Proximal proper efficiency for minimisation with respect to normal cones. Bull. Aust. Math. Soc. 71(2), 215–224 (2005)

    Article  MathSciNet  Google Scholar 

  9. Makela, M.M., Nikulin, Y.: Nonconvex Multiobjective Programming: Geometry of Optimality via Cones. TUCS Report No. 931, Turku Centre for Computer Science (2009)

  10. Sawaragi, Y., Nakayama, H., Tanino, T.: Theory of Multiobjective Optimization. Academic Press, Orlando, FL (1985)

    MATH  Google Scholar 

  11. Wierzbicki, A.P.: A methodological approach to comparing parametric characterizations of efficient solutions. Large Scale Model. Interact. Decis. Anal. 273, 27–45 (1986)

    Article  Google Scholar 

  12. Wierzbicki, A.P.: On the completeness and constructiveness of parametric characterizations to vector optimization problems. OR Spectrum 8(2), 73–87 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  13. Kaliszewski, I., Michalowski, W.: Efficient solutions and bounds on tradeoffs. J. Optim. Theory Appl. 94, 381–394 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  14. Shao, L., Ehrgott, M.: Approximately solving multiobjective linear programmes in objective space and an application in radiotherapy treatment planning. Math. Meth. Oper. Res. 68, 257–276 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  15. Soleimani-damaneh, M.: On some multiobjective optimization problems arising in biology. Int. J. Comput. Math. 88(6), 1103–1119 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  16. Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation, I: Basic theory. Springer, Berlin (2006)

    Google Scholar 

  17. Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation, II: Applications. Springer, Berlin (2006)

    Google Scholar 

  18. Soleimani-damaneh, M.: Nonsmooth optimization using Mordukhovich’s subdifferential. SIAM J. Control Optim. 48, 3403–3432 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  19. Ansari, Q.H., Yao, J.C. (eds.): Recent Developments in Vector Optimization. Springer, Berlin (2011)

    Google Scholar 

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Acknowledgments

The authors would like to express their gratitude to anonymous referees and the editor of JOTA for their time and effort about the paper. The research of the third author has been supported by a grant from IPM (No. 94260124).

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Correspondence to Majid Soleimani-damaneh.

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Khaledian, K., Khorram, E. & Soleimani-damaneh, M. Strongly Proper Efficient Solutions: Efficient Solutions with Bounded Trade-Offs. J Optim Theory Appl 168, 864–883 (2016). https://doi.org/10.1007/s10957-015-0841-6

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