Strong Complementary Approximate Karush-Kuhn-Tucker Conditions for Multiobjective Optimization Problems

  • Jitendra Kumar Maurya Deaprtment of Mathematics, Banaras Hindu University, Varanasi, india
  • Shashi Kant Mishra

Abstract

In this paper, we establish strong complementary approximate Karush-Kuhn-Tucker (SCAKKT) sequential optimality conditions for multiobjective optimization problems with equality and inequality constraints without any constraint qualifications and introduce a weak constraint qualifiation which assures the equivalence between SCAKKT and the strong Karush-Kuhn-Tucker (J Optim Theory Appl 80 (3): 483-500, 1994) conditions for multiobjective optimization problems.

Published
Jun 30, 2022
How to Cite
MAURYA, Jitendra Kumar; MISHRA, Shashi Kant. Strong Complementary Approximate Karush-Kuhn-Tucker Conditions for Multiobjective Optimization Problems. Yugoslav Journal of Operations Research, [S.l.], v. 32, n. 2, p. 219-234, june 2022. ISSN 2334-6043. Available at: <http://yujor.fon.bg.ac.rs/index.php/yujor/article/view/965>. Date accessed: 02 may 2024.
Citation Formats
Issue
Vol 32 No 2 (2022)
Section
Research Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.