Surrogate-Assisted Multi-Objective Optimization of an Axial-Flow Ventricular Assist Device Rotor Using CFD, Hybrid Surrogates, Sobol Analysis, and MOPSO.
BACKGROUND This study presents a surrogate-assisted workflow for multi-objective optimization of an axial-flow ventricular assist device (VAD) rotor using 4809 steady-state CFD simulations spanning six geometric variables. METHODS Repeated learning-curve analysis and blade-count-stratified Gaussian-process regression...