The Application of Ensemble Machine Learning Methods for Construction of Surrogate Models in Problems of Preliminary Design of an Aircraft Wing Airfoil

The paper investigates techniques for creating surrogate models utilizing ensemble machine learning approaches. The utilization of surrogate models considerably reduces the amount of time required for searching for optimal geometrical characteristics of an aircraft's wing. The issue of determining rational aerodynamic features for the wing configuration of an aircraft is addressed in this paper.