Adelle Holder

Penalization method to convert Bayesian optimization methods into batch multi-objective Bayesian optimization methods

A generalizable transformation methodology is developed that converts compatible single- or multi-objective sequential Bayesian optimization methods into B-MOBO methods that are as effective as existing methods at solving optimization problems in terms of solution quality and show improvements when real-time is considered.