Optimality conditions in a class of generalized convex optimization problems with the multiple interval-valued objective function

被引:4
作者
Abdulaleem, Najeeb [1 ,2 ]
机构
[1] Hadhramout Univ, Dept Math, POB 50511-50512, Al Mahrah, Yemen
[2] Mahrah Univ, Dept Math, Al Mahrah, Yemen
来源
SYSTEMS AND SOFT COMPUTING | 2023年 / 5卷
关键词
Interval-valued functions; Generalized convexity; B-invex function; Optimality conditions; PROGRAMMING-PROBLEMS; DUALITY; SUFFICIENCY; KKT;
D O I
10.1016/j.sasc.2023.200056
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a new class of generalized convex optimization problems with a multiple interval-valued objective function is considered. The concepts of B-preinvexity, B-invexity, and the generalized of B-invexity are extended to interval-valued functions. Additionally, several properties of interval-valued B-preinvex and B-invex functions are investigated. The Karush-Kuhn-Tucker necessary optimality conditions for a (weak LU- Pareto) LU-Pareto solution are established for a differentiable vector optimization problem with a multiple interval-valued objective function. Furthermore, the sufficient optimality conditions for both LU and UC order relations are derived for such interval-valued vector optimization problems under appropriate (generalized) B-invexity hypotheses. Suitable examples are provided to illustrate the aforementioned results.
引用
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页数:10
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