Abstract: Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs). To address this, we propose a novel ...

Abstract: This article analyzes and studies the optimization and verification methods of the general algorithm model library for civil aircraft health management, sorts out the overall technical route ...