English

On AKKT optimality conditions for cone-constrained vector optimization problems

Optimization and Control 2019-02-21 v1

Abstract

In this paper, we introduce a kind of approximate Karush--Kuhn--Tucker condition (AKKT) for a smooth cone-constrained vector optimization problem. We show that, without any constraint qualification, the AKKT condition is a necessary for a local weak efficient solution of the considered problem. For convex problems, we prove that the AKKT condition is a necessary and sufficient optimality condition for a global weak efficient solution. We also introduce some strict constraint qualifications associated with the AKKT condition.

Keywords

Cite

@article{arxiv.1902.07416,
  title  = {On AKKT optimality conditions for cone-constrained vector optimization problems},
  author = {Nguyen Van Tuyen and Yi-Bin Xiao and Ta Quang Son},
  journal= {arXiv preprint arXiv:1902.07416},
  year   = {2019}
}

Comments

12 pages

R2 v1 2026-06-23T07:45:42.057Z