Optimality Conditions for Generalized Convex Nonsmooth Uncertain Multi-objective Fractional Programming

被引:3
作者
Pan, Xiao [1 ]
Yu, Guo-Lin [1 ]
Gong, Tian-Tian [1 ]
机构
[1] North Minzu Univ, Sch Math & Informat Sci, Yinchuan 750021, Ningxia, Peoples R China
关键词
Multi-objective fractional programming; Robust weak efficient solution; Generalized convex function; Optimality condition; Saddle point; OPTIMIZATION; DUALITY;
D O I
10.1007/s40305-022-00423-7
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper aims at studying optimality conditions of robust weak efficient solutions for a nonsmooth uncertain multi-objective fractional programming problem (NUMFP). The concepts of two types of generalized convex function pairs, called type-I functions and pseudo-quasi-type-I functions, are introduced in this paper for (NUMFP). Under the assumption that (NUMFP) satisfies the robust constraint qualification with respect to Clarke subdifferential, necessary optimality conditions of the robust weak efficient solution are given. Sufficient optimality conditions are obtained under pseudo-quasi-type-I generalized convexity assumption. Furthermore, we introduce the concept of robust weak saddle points to (NUMFP), and prove two theorems about robust weak saddle points. The main results in the present paper are verified by concrete examples.
引用
收藏
页码:809 / 826
页数:18
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