Factorial Design with Multiple Optimized Randomization Techniques: A Review

Abstract

The observation of the effects of the variables and their interactions in a given system is thus of the utmost importance. Given the requirement to simultaneously evaluate the effect of a large number of variables and their interactions between them from a limited number of trials, multi variate optimization systems based on factorial design of experiments are a useful and simple alternative. The efficacy of these notions in the study of multivariate systems is demonstrated in this essay by emphasizing their use in studies of many fields of knowledge. Original papers and research on factorial experimental designs commonly used in laboratories in a variety of study topics, including studies and pre-installation already installed, as well as papers in Portuguese, English, and Spanish, were inclusion criteria for articles.