IPOMOEA:在R中使用多目标进化算法的预期包定位

M. El-Dosuky
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引用次数: 0

摘要

程序员对包中可用的内容缺乏熟悉可能会促使他们重新发明轮子。这在任何编程语言中都是常见的情况,但对于像R这样的专业人士都认为很难的语言来说,这是一种疯狂的事情。在R Cookbook中,他说:“但是R可能会令人沮丧。如何完成很多任务,甚至是简单的任务,都不是显而易见的。”IPOMOEA是为了缓解这个问题而编写的代码。它通过在R站点中自动搜索所有可能有助于任务实现的包,帮助R语言开发人员确定如何执行特定的任务。之后,IPOMOEA使用多目标进化算法NSGA-II确定部分结果集为预期包。它不仅指定了预期的包,而且还帮助引导程序员和管理包。关键词:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IPOMOEA: Intended package orientation using multi-objective evolutionary algorithm in R
Programmers’ lack of familiarity with what is available in packages may prompt them to reinvent the wheel. This is generally the case in any programming language, but it is a matter of madness with a language described as difficult even by professionals supporting it such as R. In R Cookbook, says: “But R can be frustrating. It’s not obvious how to accomplish many tasks, even simple ones.” IPOMOEA is a code that has been written to mitigate this problem. It helps R language developers determine how to perform a specific task, by automating the search in R site for all packages that are likely to contribute to the task implementation. After that, IPOMOEA determines a partial set of results to be the intended package using multi-objective evolutionary algorithm NSGA-II . Not only does it specify the intended package, but also it helps orient programmers and manage packages. Keywords:
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