Let's Do Ranking & Selection
Let's Do Ranking & Selection
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DOI：
10.1109/wsc57314.2022.10015501
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发表时间：
2022-12
期刊：
影响因子：
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通讯作者：
B. Nelson
中科院分区：
文献类型：
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作者：
B. Nelson
许多教程和调查论文都是关于排名和选择的，因为当可行解决方案或“系统”的数量足够小时，它是模拟优化的有用工具。廉价、无所不在的并行计算大大提高了“所有这些都可以模拟”的极限。当然，这些教程和调查主要关注R&S的基础理论，并提供了伪代码过程。相比之下，本教程强调R&S的应用程序、编程和解释，使用R编程语言进行说明。读者（和观众）可以下载代码并跟随示例，但不需要R经验。
Many tutorials and survey papers have been written on ranking & selection because it is such a useful tool for simulation optimization when the number of feasible solutions or “systems” is small enough that all of them can be simulated. Cheap, ubiquitous, parallel computing has greatly increased the “all of them can be simulated” limit. Naturally these tutorials and surveys have focused on the underlying theory of R&S and have provided pseudocode procedures. This tutorial, by contrast, emphasizes applications, programming and interpretation of R&S, using the R programming language for illustration. Readers (and the audience) can download the code and follow along with the examples, but no experience with R is needed.