On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data

Abstract This paper provides some new results on robust approximate optimal solutions of a fractional semi-infinite optimization problem under uncertainty data in the constraint functions. By employing conjugate analysis and robust optimization approach (worst-case approach), we obtain some necessar...

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Main Authors: Jing Zeng, Peng Xu, Hongyong Fu
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-019-1997-7
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author Jing Zeng
Peng Xu
Hongyong Fu
author_facet Jing Zeng
Peng Xu
Hongyong Fu
author_sort Jing Zeng
collection DOAJ
description Abstract This paper provides some new results on robust approximate optimal solutions of a fractional semi-infinite optimization problem under uncertainty data in the constraint functions. By employing conjugate analysis and robust optimization approach (worst-case approach), we obtain some necessary and sufficient optimality conditions for robust approximate optimal solutions of such a fractional semi-infinite optimization problem. In addition, we state a mixed type approximate dual problem to the reference problem and obtain some robust duality properties between them. The results obtained in this paper improve the corresponding results in the literature.
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spelling doaj.art-bf4ca4f3f7c64dc694e7ab1e5c6ba4e32022-12-21T17:50:53ZengSpringerOpenJournal of Inequalities and Applications1029-242X2019-02-012019111610.1186/s13660-019-1997-7On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty dataJing Zeng0Peng Xu1Hongyong Fu2Chongqing Key Laboratory of Social Economy and Applied Statistics, College of Mathematics and Statistics, Chongqing Technology and Business UniversityChina Research Institute of Enterprise Governed by Law, Southwest University of Political Science and LawChina Research Institute of Enterprise Governed by Law, Southwest University of Political Science and LawAbstract This paper provides some new results on robust approximate optimal solutions of a fractional semi-infinite optimization problem under uncertainty data in the constraint functions. By employing conjugate analysis and robust optimization approach (worst-case approach), we obtain some necessary and sufficient optimality conditions for robust approximate optimal solutions of such a fractional semi-infinite optimization problem. In addition, we state a mixed type approximate dual problem to the reference problem and obtain some robust duality properties between them. The results obtained in this paper improve the corresponding results in the literature.http://link.springer.com/article/10.1186/s13660-019-1997-7Approximate optimal solutionsMixed type dualityFractional semi-infinite optimization
spellingShingle Jing Zeng
Peng Xu
Hongyong Fu
On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data
Journal of Inequalities and Applications
Approximate optimal solutions
Mixed type duality
Fractional semi-infinite optimization
title On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data
title_full On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data
title_fullStr On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data
title_full_unstemmed On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data
title_short On robust approximate optimal solutions for fractional semi-infinite optimization with uncertainty data
title_sort on robust approximate optimal solutions for fractional semi infinite optimization with uncertainty data
topic Approximate optimal solutions
Mixed type duality
Fractional semi-infinite optimization
url http://link.springer.com/article/10.1186/s13660-019-1997-7
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AT hongyongfu onrobustapproximateoptimalsolutionsforfractionalsemiinfiniteoptimizationwithuncertaintydata