Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints
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...
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2022-05-01
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author | Rekha R. Jaichander Izhar Ahmad Krishna Kummari Suliman Al-Homidan |
author_facet | Rekha R. Jaichander Izhar Ahmad Krishna Kummari Suliman Al-Homidan |
author_sort | Rekha R. Jaichander |
collection | DOAJ |
description | 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. |
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language | English |
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spelling | doaj.art-c3f98e95e97c4ccaadc1e3cdeb57958c2023-11-23T14:24:31ZengMDPI AGMathematics2227-73902022-05-011011178710.3390/math10111787Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty ConstraintsRekha R. Jaichander0Izhar Ahmad1Krishna Kummari2Suliman Al-Homidan3Department of Mathematics, School of Science, GITAM-Hyderabad Campus, Hyderabad 502329, IndiaDepartment of Mathematics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaDepartment of Mathematics, School of Science, GITAM-Hyderabad Campus, Hyderabad 502329, IndiaDepartment of Mathematics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaIn 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.https://www.mdpi.com/2227-7390/10/11/1787Generalized convexityrobust nonsmooth interval-valued optimization problemLU-optimal solutionoptimalityduality |
spellingShingle | Rekha R. Jaichander Izhar Ahmad Krishna Kummari Suliman Al-Homidan Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints Mathematics Generalized convexity robust nonsmooth interval-valued optimization problem LU-optimal solution optimality duality |
title | Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints |
title_full | Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints |
title_fullStr | Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints |
title_full_unstemmed | Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints |
title_short | Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints |
title_sort | robust nonsmooth interval valued optimization problems involving uncertainty constraints |
topic | Generalized convexity robust nonsmooth interval-valued optimization problem LU-optimal solution optimality duality |
url | https://www.mdpi.com/2227-7390/10/11/1787 |
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