High Degree of Freedom Aerodynamic Shape Optimization with Design-Space Dimensionality Reduction

Abstract

In aerodynamic multi-objective optimization for object geometry, design variables are often multidimensional and weakly independent, which reduces the efficiency of optimization. In this study, a design space reduction method using ANOVA and AIC was proposed and implemented, then evaluated by applying it to a multi-objective aerodynamic optimal design problem. The results show that the proposed design space reduction method can extract important variables appropriately and enables fast, efficient, and accurate solution search.