Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

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 LUoptimal solution and the generalized robust Slater constraint qualification (GRSCQ). These KarushKuhn-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.

Original languageEnglish
Article number1787
JournalMathematics
Volume10
Issue number11
DOIs
StatePublished - 1 Jun 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Generalized convexity
  • LUoptimal solution
  • duality
  • optimality
  • robust nonsmooth interval-valued optimization problem

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • General Mathematics
  • Engineering (miscellaneous)

Fingerprint

Dive into the research topics of 'Robust Nonsmooth Interval-Valued Optimization Problems Involving Uncertainty Constraints'. Together they form a unique fingerprint.

Cite this