Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints

被引:3
|
作者
Jaichander, Rekha R. [1 ,2 ]
Ahmad, Izhar [3 ,4 ]
Kummari, Krishna [1 ]
Al-Homidan, Suliman [3 ,5 ]
机构
[1] GITAM, Dept Math, Sch Sci, Hyderabad Campus, Hyderabad 502329, India
[2] St Francis Coll Women Begumpet, Dept Math, Hyderabad 500006, India
[3] King Fahd Univ Petr & Minerals, Dept Math, Dhahran 31261, Saudi Arabia
[4] King Fahd Univ Petr & Minerals, Ctr Intelligent Secure Syst, Dhahran 31261, Saudi Arabia
[5] King Fahd Univ Petr & Minerals, Ctr Smart Mobil & Logist, Dhahran 31261, Saudi Arabia
关键词
Generalized convexity; robust nonsmooth interval-valued optimization problem; LU-optimal solution; optimality; duality; TUCKER OPTIMALITY CONDITIONS; MULTIOBJECTIVE OPTIMIZATION; PROGRAMMING-PROBLEMS; DUALITY; SUFFICIENCY; EFFICIENCY; MACHINERY; THEOREMS;
D O I
10.3390/math10111787
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, Karush-Kuhn-Tucker type robust necessary optimality conditions for a robust nonsmooth interval-valued optimization problem (UCIVOP) are formulated using the concept of LU-optimal solution and the generalized robust Slater constraint qualification (GRSCQ). These Karush-Kuhn-Tucker type robust necessary conditions are shown to be sufficient optimality conditions under generalized convexity. The Wolfe and Mond-Weir type robust dual problems are formulated over cones using generalized convexity assumptions, and usual duality results are established. The presented results are illustrated by non-trivial examples.
引用
收藏
页数:19
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