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