Optimal Product Design by Sequential Experiments in High Dimensions
Optimal Product Design by Sequential Experiments in High Dimensions is a scholarly work, published in 2019 in ''Management Science''. The main subjects of the publication include selection (genetic algorithm), product, new product development, space, computer science, identification, curse of dimensionality, product design, mathematical optimization, multi-objective optimization, design of experiments, feature selection, and sequential analysis. The authors propose an experimental criterion for efficiently testing product profiles with high demand potential in sequential experiments.