Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints

This paper deals with robust quasi approximate optimal solutions for a nonsmooth semi-infinite optimization problems with uncertainty data. By virtue of the epigraphs of the conjugates of the constraint functions, we first introduce a robust type closed convex constraint qualification. Then, by usin...

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Main Authors: Xiangkai Sun, Hongyong Fu, Jing Zeng
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Mathematics
Subjects:
Online Access:http://www.mdpi.com/2227-7390/7/1/12
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author Xiangkai Sun
Hongyong Fu
Jing Zeng
author_facet Xiangkai Sun
Hongyong Fu
Jing Zeng
author_sort Xiangkai Sun
collection DOAJ
description This paper deals with robust quasi approximate optimal solutions for a nonsmooth semi-infinite optimization problems with uncertainty data. By virtue of the epigraphs of the conjugates of the constraint functions, we first introduce a robust type closed convex constraint qualification. Then, by using the robust type closed convex constraint qualification and robust optimization technique, we obtain some necessary and sufficient optimality conditions for robust quasi approximate optimal solution and exact optimal solution of this nonsmooth uncertain semi-infinite optimization problem. Moreover, the obtained results in this paper are applied to a nonsmooth uncertain optimization problem with cone constraints.
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spelling doaj.art-79bbbb322e1b4ef08130c0e3fa5d618d2022-12-21T18:46:13ZengMDPI AGMathematics2227-73902018-12-01711210.3390/math7010012math7010012Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of ConstraintsXiangkai Sun0Hongyong Fu1Jing Zeng2Chongqing Key Laboratory of Social Economy and Applied Statistics, College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, ChinaChina Research Institute of Enterprise Governed by Law, Southwest University of Political Science and Law, 301 Baosheng Street, Chongqing 401120, ChinaChongqing Key Laboratory of Social Economy and Applied Statistics, College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, ChinaThis paper deals with robust quasi approximate optimal solutions for a nonsmooth semi-infinite optimization problems with uncertainty data. By virtue of the epigraphs of the conjugates of the constraint functions, we first introduce a robust type closed convex constraint qualification. Then, by using the robust type closed convex constraint qualification and robust optimization technique, we obtain some necessary and sufficient optimality conditions for robust quasi approximate optimal solution and exact optimal solution of this nonsmooth uncertain semi-infinite optimization problem. Moreover, the obtained results in this paper are applied to a nonsmooth uncertain optimization problem with cone constraints.http://www.mdpi.com/2227-7390/7/1/12approximate quasi-solutionsoptimality conditionsrobust nonsmooth semi-infinite optimization
spellingShingle Xiangkai Sun
Hongyong Fu
Jing Zeng
Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints
Mathematics
approximate quasi-solutions
optimality conditions
robust nonsmooth semi-infinite optimization
title Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints
title_full Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints
title_fullStr Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints
title_full_unstemmed Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints
title_short Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints
title_sort robust approximate optimality conditions for uncertain nonsmooth optimization with infinite number of constraints
topic approximate quasi-solutions
optimality conditions
robust nonsmooth semi-infinite optimization
url http://www.mdpi.com/2227-7390/7/1/12
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AT hongyongfu robustapproximateoptimalityconditionsforuncertainnonsmoothoptimizationwithinfinitenumberofconstraints
AT jingzeng robustapproximateoptimalityconditionsforuncertainnonsmoothoptimizationwithinfinitenumberofconstraints