In many practical applications, it is natural to introduce baseline parameterization if there is a control or baseline level of each factor. In this project, we search for baseline minimum aberration designs of 20 runs. For the number of factors that is thirteen or less, we apply the method of complete search. When the number of factors is greater than thirteen, we propose a new search algorithm, which provides tremendous savings in computing time as compared with the complete search procedure. The performance of the algorithm is examined, and it is found that our algorithm performs almost as well as the complete search.
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