Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency

In this paper, we consider, a new nonlinear scalarization function in vector spaces which is a generalization of the oriented distance function. Using the algebraic type of closure, which is called vector closure, we introduce the algebraic boundary of a set, without assuming any topology, in our co...

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Main Authors: E. Kiyani, S. M. Vaezpour, J. Tavakoli
Format: Article
Language:English
Published: Etamaths Publishing 2022-02-01
Series:International Journal of Analysis and Applications
Online Access:http://etamaths.com/index.php/ijaa/article/view/1995
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author E. Kiyani
S. M. Vaezpour
J. Tavakoli
author_facet E. Kiyani
S. M. Vaezpour
J. Tavakoli
author_sort E. Kiyani
collection DOAJ
description In this paper, we consider, a new nonlinear scalarization function in vector spaces which is a generalization of the oriented distance function. Using the algebraic type of closure, which is called vector closure, we introduce the algebraic boundary of a set, without assuming any topology, in our context. Furthermore, some properties of this algebraic boundary set are given and present the concept of the oriented distance function via this set in the concept of vector optimization. We further investigate Q-proper efficiency in a real vector space, where Q is some nonempty (not necessarily convex) set. The necessary and sufficient conditions for Q-proper efficient solutions of nonconvex optimization problems are obtained via the scalarization technique. The scalarization technique relies on the use of two different scalarization functions, the oriented distance function and nonconvex separation function, which allow us to characterize the Q-proper efficiency in vector optimization with and without constraints.
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spelling doaj.art-232b90f7e6564fb58ff4bc82bd2aa4c92022-12-22T00:19:03ZengEtamaths PublishingInternational Journal of Analysis and Applications2291-86392022-02-0120111110.28924/2291-8639-20-2022-111490Nonconvex Vector Optimization and Optimality Conditions for Proper EfficiencyE. KiyaniS. M. VaezpourJ. TavakoliIn this paper, we consider, a new nonlinear scalarization function in vector spaces which is a generalization of the oriented distance function. Using the algebraic type of closure, which is called vector closure, we introduce the algebraic boundary of a set, without assuming any topology, in our context. Furthermore, some properties of this algebraic boundary set are given and present the concept of the oriented distance function via this set in the concept of vector optimization. We further investigate Q-proper efficiency in a real vector space, where Q is some nonempty (not necessarily convex) set. The necessary and sufficient conditions for Q-proper efficient solutions of nonconvex optimization problems are obtained via the scalarization technique. The scalarization technique relies on the use of two different scalarization functions, the oriented distance function and nonconvex separation function, which allow us to characterize the Q-proper efficiency in vector optimization with and without constraints.http://etamaths.com/index.php/ijaa/article/view/1995
spellingShingle E. Kiyani
S. M. Vaezpour
J. Tavakoli
Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency
International Journal of Analysis and Applications
title Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency
title_full Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency
title_fullStr Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency
title_full_unstemmed Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency
title_short Nonconvex Vector Optimization and Optimality Conditions for Proper Efficiency
title_sort nonconvex vector optimization and optimality conditions for proper efficiency
url http://etamaths.com/index.php/ijaa/article/view/1995
work_keys_str_mv AT ekiyani nonconvexvectoroptimizationandoptimalityconditionsforproperefficiency
AT smvaezpour nonconvexvectoroptimizationandoptimalityconditionsforproperefficiency
AT jtavakoli nonconvexvectoroptimizationandoptimalityconditionsforproperefficiency