通过分离和标量化处理集值鲁棒性

IF 1.6 3区 数学 Q2 MATHEMATICS, APPLIED
Madhusudan Das, Chandal Nahak, Mahendra Prasad Biswal
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引用次数: 0

摘要

本文旨在提出不同类型的集合值稳健性概念的替代表征。当集合是集合的联合时,各种集合顺序关系的等价标量表示被推导出来。利用这些发现和图像空间分析,为不同的鲁棒性解决方案概念定义了特定的孤立集。这些孤立集是推导必要和充分稳健优化条件的基础。本文通过几个示例证明了这些结果的有效性。此外,本文最后还将本方法应用于双人零和矩阵博弈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Treatment of Set-Valued Robustness via Separation and Scalarization

Treatment of Set-Valued Robustness via Separation and Scalarization

This paper aims to present alternative characterizations for different types of set-valued robustness concepts. Equivalent scalar representations for various set order relations are derived when the sets are the union of sets. Utilizing these findings in conjunction with image space analysis, specific isolated sets are defined for different notions of robust solutions. These isolated sets serve as the basis for deriving both necessary and sufficient robust optimality conditions. The validity of the results is demonstrated through several illustrative examples. Additionally, the paper concludes with an application of our present approach to two-player zero-sum matrix games.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
149
审稿时长
9.9 months
期刊介绍: The Journal of Optimization Theory and Applications is devoted to the publication of carefully selected regular papers, invited papers, survey papers, technical notes, book notices, and forums that cover mathematical optimization techniques and their applications to science and engineering. Typical theoretical areas include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.
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