Optimality conditions and duality in terms of convexificators for multiobjective bilevel programming problem with equilibrium constraints

被引:10
|
作者
Tran Van Su [1 ]
Dinh Dieu Hang [2 ]
Nguyen Cong Dieu [3 ,4 ]
机构
[1] Quang Nam Univ, Dept Math, Tamky, Vietnam
[2] Thai Nguyen Univ Informat & Commun Technol, Dept Basic Sci, Thai Nguyen, Vietnam
[3] Thang Long Univ, Hanoi, Vietnam
[4] Vietnam Acad Sci & Technol, Inst Informat Technol, Hanoi, Vietnam
来源
COMPUTATIONAL & APPLIED MATHEMATICS | 2021年 / 40卷 / 02期
关键词
Nonsmooth multiobjective bilevel programming problem with equilibrium; constraints; Necessary optimality conditions; Convexificators; partial derivative*-convex functions; Wolfe type dual; Mond-Weir type dual;
D O I
10.1007/s40314-021-01431-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is devoted to the investigation of a nonsmooth multiobjective bilevel programming problem with equilibrium constraints ((MBPP) for short) in terms of convexificators in finite-dimensional spaces. We present necessary optimality conditions for the local weak efficient solution to such problem. Under the Mangasarian-Fromovitz and generalized standard Abadie type constraint qualification in the sense of convexificators, we establish as an application the Wolfe and Mond-Weir type dual problem for the problem (MBPP). Besides, we provide strong and weak duality theorems for the original problem and its Wolfe and Mond-Weir type dual problem under suitable assumptions on the partial derivative*-convexity and the upper semi-regularity of objective and constraint functions. Illustrative examples are also proposed to demonstrate the main results of the paper.
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页数:26
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