一种新的IFFD生成算法

M. Liou, H. Dietz, H. Moskowitz, R. Plante
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引用次数: 0

摘要

作者描述了最优不规则分数因子设计(iffd)的自动生成,以及规则最大子集设计(MSDs),涉及2级因素的过程。他们描述了分离混杂效应的机制和产生IFFD的新的、有效的方法。结论是,尽管通过使用一组种子测试作为限制来寻找IFFD解决方案显示了一些希望作为限制搜索空间的方法,但是需要为解决包含高阶交互的需求集进行许多工作。
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A new algorithm for IFFD generation
The authors describes the automated generation of optimal irregular fractional factorial designs (IFFDs), and for regular maximal subset designs (MSDs), for processes involving 2-level factors. They describe mechanisms on separating out confounded effects and new, efficient methods for IFFD generation. It is concluded that, although finding IFFD solutions by using a seed set of tests as a restriction shows some promise as a way to limit the search space, much work needs to be orchestrated toward solving a requirement set containing higher-order interactions.<>
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