Ant colony algorithm(ACA) is a new bionic optimization algorithm developed in recent years.With global and efficient characteristics

it has been applied in discontinuous space successfully.To introduce it to aircraft design field

a high dimensional

multi-objective and multi-restrained ACA for continuous space was built.In an example

it was applied to the multi-objective optimization design of aerodynamic configuration for hypersonic cruise vehicle(HCV).Through comparison with Pareto genetic algorithms(GA)

ACA shows its advantage.Finally

from our research work

ACA has great reference values for complex

multidimensional and large-scale optimization problems in aircraft design field.