High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft

Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be used to build the mixed-categorical GP. Many of these approaches involve a high number of hyperparameters; in fact, the more general and precise the strategy used to build the GP, the greater the number of hyperparameters to estimate. This paper introduces an innovative dimension reduction algorithm that relies on partial least squares regression to reduce …

aircraft application bayesian build categorical context cs.ai design gaussian processes general green math.oc mixed optimization process processes stat.ml