Optimization design of aerodynamic configuration for hypersonic cruise vehicle based on ant colony algorithm

Aimed at the great computed cost and low efficiency of Genetic Algorithm (GA) in the optimization design field of aircraft, a new optimization design method of aerodynamic configuration for hypersonic cruise vehicle (HCV) based on ant colony algorithm (ACA) in continuous space is presented. ACA is a new bionic optimization algorithm developed in recent years, and with global and efficient characteristics, it has been applied in discontinuous space. Using ACA in continuous space, this paper performs a multi-variable and multi-restrained optimization work of aerodynamic configuration for HCV. And through the comparison with GA and Constrained Flexible Polyhedrow Method (CFPM), ACA shows its advantages. Finally, from this research work, ACA has great referenced values to complex, multidimensional and large-scale optimization problems in aircraft design field.