数学
子序列
紧凑空间
序列(生物学)
解决方案集
理论(学习稳定性)
豪斯多夫空间
趋同(经济学)
豪斯多夫距离
矢量优化
闭集
最优化问题
空格(标点符号)
集合(抽象数据类型)
数学优化
应用数学
数学分析
组合数学
计算机科学
有界函数
机器学习
程序设计语言
遗传学
操作系统
经济
生物
经济增长
多群优化
出处
期刊:Optimization
[Informa]
日期:2018-12-20
卷期号:68 (4): 833-852
被引量:25
标识
DOI:10.1080/02331934.2018.1556663
摘要
The main aim of this paper is to establish stability in set optimization in terms of convergence of a sequence of solution sets of perturbed set optimization problems to the solution set of the original set optimization problem both in the image space and the given space. The perturbed problems are obtained by perturbing the feasible set without changing the objective map. Formulations of external stability and internal stability are considered in the image space. External stability, which pertains to complete convergence of a subsequence of weak minimal solution sets, both in the sense of Hausdorff and Kuratowski−Painleve´ convergence of sets, is established under certain compactness and continuity assumptions. This leads to the upper Kuratowski−Painleve´ convergence of the sequence of solution sets in the given space. Internal stability is established for minimal solution sets under certain continuity, compactness and domination assumptions which leads to the lower Kuratowski- Painleve´ convergence of the sequence of solution sets in the given space. External stability for minimal solution sets and internal stability for weak minimal solution sets are deduced under the strict quasiconvexity assumption. In particular, the results are also deduced for a vector optimization problem.
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