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Optimality Conditions for a Nonsmooth Uncertain Multiobjective Programming Problem

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  • Wenyan Han
  • Guolin Yu
  • Tiantian Gong

Abstract

This note is devoted to the investigation of optimality conditions for robust approximate quasi weak efficient solutions to a nonsmooth uncertain multiobjective programming problem (NUMP). Firstly, under the extended nonsmooth Mangasarian–Fromovitz constrained qualification assumption, the optimality necessary conditions of robust approximate quasi weak efficient solutions are given by using an alternative theorem. Secondly, a class of generalized convex functions is introduced to the problem (NUMP), which is called the pseudoquasi-type-I function, and its existence is illustrated by a concrete example. Finally, under the pseudopseudo-type-I generalized convexity hypothesis, the optimality sufficient conditions for robust approximate quasi weak efficient solutions to the problem (NUMP) are established.

Suggested Citation

  • Wenyan Han & Guolin Yu & Tiantian Gong, 2020. "Optimality Conditions for a Nonsmooth Uncertain Multiobjective Programming Problem," Complexity, Hindawi, vol. 2020, pages 1-8, July.
  • Handle: RePEc:hin:complx:9849636
    DOI: 10.1155/2020/9849636
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    Cited by:

    1. Jie Wang & Shengjie Li & Min Feng, 2022. "Unified Robust Necessary Optimality Conditions for Nonconvex Nonsmooth Uncertain Multiobjective Optimization," Journal of Optimization Theory and Applications, Springer, vol. 195(1), pages 226-248, October.

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