4.5 Article

Approximate Solutions and Levitin-Polyak Well-Posedness for Set Optimization Using Weak Efficiency

Journal

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Volume 186, Issue 1, Pages 191-208

Publisher

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10957-020-01683-0

Keywords

Set optimization; Approximate solution; Stability; Well-posedness; Set convergence; Robust optimization

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The present study is devoted to define a new notion of approximate weak minimal solution based on a set order relation introduced by Karaman et al. (Positivity 22(3):783-802, 2018) for a constrained set optimization problem. Sufficient conditions have been found for the closedness of minimal solution sets. Using the Painleve-Kuratowski convergence, the stability aspects of the approximate weak minimal solution sets are discussed. Further, a notion of Levitin-Polyak well-posedness for the set optimization problem is introduced. Sufficiency criteria and some characterizations of the above defined well-posedness are established. An alternative approach to obtain robust solutions for uncertain vector optimization problems is discussed as an application.

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