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On the Existence of Super Efficient Solutions and Optimality Conditions for Set-Valued Vector Optimization Problems

Author

Listed:
  • Lu-Chuan Ceng

    (Department of Mathematics, Shanghai Normal University, Shanghai 200234, China)

  • Ching-Feng Wen

    (Center for Fundamental Science, and Research Center for Nonlinear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
    Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan)

  • Yeong-Cheng Liou

    (Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan
    Department of Healthcare Administration and Medical Informatics and Research Center of Nonlinear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung 807, Taiwan)

Abstract

In this paper, by using the normal subdifferential and equilibrium-like function we first obtain some properties for K -preinvex set-valued maps. Secondly, in terms of this equilibrium-like function, we establish some sufficient conditions for the existence of super minimal points of a K -preinvex set-valued map, that is, super efficient solutions of a set-valued vector optimization problem, and also attain necessity optimality terms for a general type of super efficiency.

Suggested Citation

  • Lu-Chuan Ceng & Ching-Feng Wen & Yeong-Cheng Liou, 2022. "On the Existence of Super Efficient Solutions and Optimality Conditions for Set-Valued Vector Optimization Problems," Mathematics, MDPI, vol. 10(3), pages 1-14, January.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:3:p:316-:d:729393
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