Sufficiency and Duality for Nonsmooth Interval-Valued Optimization Problems via Generalized Invex-Infine Functions

被引:0
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作者
Izhar Ahmad
Krishna Kummari
S. Al-Homidan
机构
[1] King Fahd University of Petroleum and Minerals,Department of Mathematics and Statistics
[2] GITAM,Department of Mathematics, School of Science
关键词
Mordukhovich subdifferential; Locally Lipschitz functions; Generalized invex-infine function; Interval-valued programming; LU-optimal; Constraint qualifications; Duality; 26A51; 49J35; 90C32;
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摘要
In this paper, a new concept of generalized-affineness type of functions is introduced. This class of functions is more general than some of the corresponding ones discussed in Chuong (Nonlinear Anal Theory Methods Appl 75:5044–5052, 2018), Sach et al. (J Global Optim 27:51–81, 2003) and Nobakhtian (Comput Math Appl 51:1385–1394, 2006). These concepts are used to discuss the sufficient optimality conditions for the interval-valued programming problem in terms of the limiting/Mordukhovich subdifferential of locally Lipschitz functions. Furthermore, two types of dual problems, namely Mond–Weir type and mixed type duals are formulated for an interval-valued programming problem and usual duality theorems are derived. Our results improve and generalize the results appeared in Kummari and Ahmad (UPB Sci Bull Ser A 82(1):45–54, 2020).
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页码:505 / 527
页数:22
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