Journal of Optimization Theory and Applications

, Volume 167, Issue 3, pp 969–984 | Cite as

On Robust Optimization

Relations Between Scalar Robust Optimization and Unconstrained Multicriteria Optimization
  • Elisabeth Köbis


We introduce an unconstrained multicriteria optimization problem and discuss its relation to various well-known scalar robust optimization problems with a finite uncertainty set. Specifically, we show that a unique solution of a robust optimization problem is Pareto optimal for the unconstrained optimization problem. Furthermore, it is demonstrated that the set of weakly Pareto optimal solutions of the unconstrained multicriteria optimization problem contains all solutions of certain scalar robust optimization problems. An example is presented to verify our results. In addition, we show that the set of solutions of a weighted robust optimization problem always contains Pareto optimal solutions of the unconstrained multicriteria optimization problem. Similarly, we indicate that the set of solutions of a strictly robust optimization problem comprises Pareto optimal points of the unconstrained vector-valued problem. By assembling all these results we point out strong relations between unconstrained vector optimization and the more intuitively introduced concepts of scalar robust optimization. Finally, we provide a sufficient condition for an optimal solution of a strictly robust optimization problem.


Robust scalar optimization Multicriteria optimization Scalarization Constrained optimization 



The author would like to thank Kathrin Klamroth, Anita Schöbel, and Christiane Tammer for their ideas and advice in the preparation of this article. The author would also like to express sincere thanks to two anonymous referees for their helpful comments and detailed corrections.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Institute of Mathematics, Faculty of Natural Sciences IIMartin-Luther-University Halle-WittenbergHalle (Saale)Germany

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