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Main Author: Huong, Nguyen Thi Thu
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.08454
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author Huong, Nguyen Thi Thu
author_facet Huong, Nguyen Thi Thu
contents This paper studies approximate solutions of a linear fractional vector optimization problem without requiring boundedness of the constraint set. We establish necessary and sufficient conditions for approximating weakly efficient points of such a problem via some properties of the objective function and a technical lemma related to the intersection of the topological closure of the cone generated by a subset of the Euclidean space and the interior of the negative orthant. As a consequence, we obtain necessary conditions and sufficient conditions for approximate efficient solutions to the considered problem. Applications of these results to linear vector optimization are considered.
format Preprint
id arxiv_https___arxiv_org_abs_2412_08454
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Approximate Solutions in Linear Fractional Vector Optimization
Huong, Nguyen Thi Thu
Optimization and Control
This paper studies approximate solutions of a linear fractional vector optimization problem without requiring boundedness of the constraint set. We establish necessary and sufficient conditions for approximating weakly efficient points of such a problem via some properties of the objective function and a technical lemma related to the intersection of the topological closure of the cone generated by a subset of the Euclidean space and the interior of the negative orthant. As a consequence, we obtain necessary conditions and sufficient conditions for approximate efficient solutions to the considered problem. Applications of these results to linear vector optimization are considered.
title Approximate Solutions in Linear Fractional Vector Optimization
topic Optimization and Control
url https://arxiv.org/abs/2412.08454