A research on accelerated search genetic algorithm optimization platform oriented to aircraftaerodynamic design

This article exhibits a research on an aerodynamic optimization platform oriented to aircraft aerodynamic design. As one of the most important elements of aircraft aerodynamic design, the optimization of civil planes' high lift devices needs this platform. The optimization platform uses a nested double-cycle optimization working flow which is established on a distributed automatic computing system. During the optimization process, the platform uses adaptive genetic algorithms improved by sensitivity analysis as its main optimization method, in order to accelerate the searching process and decrease the computing cost. For running simulation, optimization cases of gap parameters of three-element airfoils have been implemented. The results indicate that the overall aerodynamic performances including lift coefficient, drag coefficient, pitching moment coefficient and lift-drag ratio of this airfoil have been improved, and this optimization is capable for a certain sort of high lift devices in the form of multi-element airfoils.