Skip to main content

Solution Concepts in Vector Optimization

  • Chapter
  • First Online:
Vector Variational Inequalities and Vector Optimization

Part of the book series: Vector Optimization ((VECTOROPT))

  • 798 Accesses

Abstract

Many applications require the optimization of multiple conflicting goals at the same time. Such a problem can be modeled as a vector optimization problem. Vector optimization deals with the problem of finding efficient elements of a vector-valued function. In that sense, vector optimization generalizes the concept of scalar optimization. In scalar optimization, there is only one concept for efficiency which characterizes efficient elements, namely the solution which generates the smallest function value. But, due to the lack of a total order in general spaces, order relations that are defined within the optimality concept need to be chosen. In this chapter, we discuss several solution concepts for a vector optimization problem. In particular, solution concepts for vector optimization problem equipped with a variable domination structure are studied. Moreover, we present some existence results for solutions of vector optimization problems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

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

    Google Scholar 

  2. J. Borwein, Proper efficient points for maximization with respect to cones. SIAM J. Control Optim. 15(1), 57–63 (1977)

    Article  Google Scholar 

  3. V. Chankong, Y.Y. Haimes, Multiobjective Decision Making: Theory and Methodology (Elsevier Science Publishing Co., Inc., New York, 1983)

    Google Scholar 

  4. F.Y. Edgeworth, Mathematical Psychics (Kegan Paul, London, 1881)

    Google Scholar 

  5. M. Ehrgott, Multicriteria Optimization, Lecture Notes in Economics and Mathematical Sciences, vol. 491 (Springer, Berlin, 2000)

    Google Scholar 

  6. G. Eichfelder, Variable Ordering Structures in Vector Optimization, Habilitation Thesis, University Erlangen-Nürnberg, 2011

    Google Scholar 

  7. G. Eichfelder, Variable ordering structures in vector optimization, in Recent Developments in Vector Optimization, ed. by Q.H. Ansari, J.-C. Yao (Springer, Heidelberg, 2012), pp. 95–126

    Chapter  Google Scholar 

  8. G. Eichfelder, Variable Ordering Structures in Vector Optimization (Springer, Berlin, 2014)

    Book  Google Scholar 

  9. A. Engau, Definition and characterization of Geoffrion proper efficiency for real vector optimization with infinitely many criteria. J. Optim. Theory Appl. 165, 439–457 (2015)

    Article  Google Scholar 

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

    Article  Google Scholar 

  11. J. Jahn, Vector Optimization: Theory, Applications, and Extensions (Springer, Berlin, Heidelberg, 2004)

    Book  Google Scholar 

  12. H.W. Kuhn, A.W. Tucker, Nonlinear programming, in Proceedings of the second Berkeley Symposium on Mathematical Statistics and Probability, 1950 (University of California Press, Berkeley, 1951), pp. 481–492

    Google Scholar 

  13. D.T. Luc, Structure of the efficient point set. Proc. Amer. Math. Soc. 95(3), 433–440 (1985)

    Article  Google Scholar 

  14. D.T. Luc, Theory of Vector Optimization, Lecture Notes in Economics and Mathematical Systems, vol. 319 (Springer, Berlin, 1989)

    Google Scholar 

  15. D.T. Luc, Multiobjective Linear Programming: An Introduction (Springer, Berlin, 2016)

    Book  Google Scholar 

  16. V. Pareto, Manuale di economia politica (Societa Editrice Libraria, Milano, 1906). English translation: V. Pareto, Manual of Bibliography 467 political economy, translated by A.S. Schwier, Augustus M. Kelley Publishers, New York (1971)

    Google Scholar 

  17. Y. Sawaragi, H. Nakayama, T. Tanino, Theory of Multiobjective Optimization (Academic Press Inc., Orlando, 1985)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ansari, Q.H., Köbis, E., Yao, JC. (2018). Solution Concepts in Vector Optimization. In: Vector Variational Inequalities and Vector Optimization. Vector Optimization. Springer, Cham. https://doi.org/10.1007/978-3-319-63049-6_3

Download citation

Publish with us

Policies and ethics