雌鹿MIParray:一个用于正交阵列算法创建的R包

Q1 Social Sciences Journal of Open Research Software Pub Date : 2020-10-07 DOI:10.5334/jors.286
U. Grömping
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引用次数: 0

摘要

R包DoE.MIParray使用混合整数优化来创建用于实验设计的平衡良好的阵列。它的使用需要至少一个商业优化器Gurobi或Mosek的可用性。在创建一个合适的数组上投入一些精力是合理的,因为实验运行通常非常昂贵,因此它们的信息内容应该最大化。DoE.MIParray对于创建相对较小的混合级别设计特别有用。平衡是通过应用质量标准“广义最小像差”(GMA)来优化的,该标准旨在最大限度地减少因子模型中低阶效应的混淆,而不假设特定的模型。对于相关情况,DoE.MIParray利用了其目标函数的下界,从而大大减少了混合整数优化的计算负担。
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DoE.MIParray: An R Package for Algorithmic Creation of Orthogonal Arrays
The R package DoE.MIParray uses mixed integer optimization for creating well-balanced arrays for experimental designs. Its use requires availability of at least one of the commercial optimizers Gurobi or Mosek. Investing some effort into the creation of a suitable array is justified, because experimental runs are often very expensive, so that their information content should be maximized. DoE.MIParray is particularly useful for creating relatively small mixed level designs. Balance is optimized by applying the quality criterion “generalized minimum aberration” (GMA), which aims at minimizing confounding of low order effects in factorial models, without assuming a specific model. For relevant cases, DoE.MIParray exploits a lower bound on its objective function, which allows to drastically reduce the computational burden of mixed integer optimization.
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
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