Abstract
This paper deals with a quasiconvex multiobjective programming problem with inequality and set constraints with \(C^{1,1}\)-smooth data. Based on the definition of quasiconvexity, pseudoconvexity and second-order Mordukhovich/Fréchet subdifferentials of extended-real-valued function, we propose the two generalized Ben-Tal second-order constraint qualifications and then establish strong and weak Karush-Kuhn-Tucker type second-order necessary optimality conditions for weak efficiency to such problem. Under some suitable assumptions on the pseudoconvexity and \(C^{1,1}\)-around a feasible solution of objective and constraint functions, some second-order sufficient optimality conditions in terms of Fréchet subdifferentials are presented. An application of the result on sufficient optimality of order two in terms of Mordukhovich subdifferentials in the sense of the functions belong to \(C^2\)-around a feasible solution is obtained. Some examples are also provided to demonstrate for our findings.
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The authors would like to express their sincere gratitude to anonymous reviewers for their through and helpful reviews which significantly improved the quality of the paper. Furthermore, the authors acknowledge the editors for sending our manuscript to reviewers.
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Tran Van Su is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant No. 101.01-2021.06.
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Su, T.V., Hang, D.D. Second-order optimality conditions for efficiency in \(C^{1,1}\)-smooth quasiconvex multiobjective programming problem. Comp. Appl. Math. 40, 228 (2021). https://doi.org/10.1007/s40314-021-01625-0
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DOI: https://doi.org/10.1007/s40314-021-01625-0
Keywords
- \(C^{1,1}\)-Smooth quasiconvex multiobjective programming problem with constraints
- Weak Efficiency
- Second-order optimality conditions
- Generalized second-order Ben-Tal constraint qualifications
- Second-order Mordukhovich/Fréchet Subdifferentials