Abstract
In this paper, we investigate the scalarization of \(\epsilon \)-super efficient solutions of set-valued optimization problems in real ordered linear spaces. First, in real ordered linear spaces, under the assumption of generalized cone subconvexlikeness of set-valued maps, a dual decomposition theorem is established in the sense of \(\epsilon \)-super efficiency. Second, as an application of the dual decomposition theorem, a linear scalarization theorem is given. Finally, without any convexity assumption, a nonlinear scalarization theorem characterized by the seminorm is obtained.
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This work was supported by the National Nature Science Foundation of China (11271391) and the Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant No. KJ130830).
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Zhou, ZA., Yang, XM. Scalarization of \(\epsilon \)-Super Efficient Solutions of Set-Valued Optimization Problems in Real Ordered Linear Spaces. J Optim Theory Appl 162, 680–693 (2014). https://doi.org/10.1007/s10957-014-0565-z
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DOI: https://doi.org/10.1007/s10957-014-0565-z
Keywords
- Set-valued maps
- Generalized cone subconvexlikeness
- \(\epsilon \)-Super efficient solutions
- Scalarization