Optimality and duality results for a nondifferentiable multiobjective fractional programming problem

被引:6
|
作者
Dubey, Ramu [1 ]
Gupta, Shiv K. [1 ]
Khan, Meraj Ali [2 ]
机构
[1] Indian Inst Technol, Dept Math, Roorkee 247667, Uttar Pradesh, India
[2] Univ Tabuk, Dept Math, Tabuk, Saudi Arabia
关键词
duality results; multiobjective programming problem; support function; KKT conditions; efficient solution; ORDER SYMMETRIC DUALITY; ALPHA; RHO; (F;
D O I
10.1186/s13660-015-0876-0
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The purpose of this paper is to study a class of nondifferentiable multiobjective fractional programming problems in which every component of objective functions contains a term involving the support function of a compact convex set. For a differentiable function, we introduce the definition of higher-order (C,alpha,gamma.rho,d)-convex function. A nontrivial example is also constructed which is in this class but not (F,alpha,gamma.rho,d))-convex. Based on the (C,alpha,gamma.rho,d))-convexity, sufficient optimality conditions for an efficient solution of the nondifferentiable multiobjective fractional programming problem are established. Further, a higher-order Mond-Weir type dual is formulated for this problem and appropriate duality results are proved under higher-order (C,alpha,gamma.rho,d))-assumptions.
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页码:1 / 18
页数:18
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