Pareto genetic algorithms for multi-objective optimization of aircraft conceptual design

Based on the Pareto optimal conception, a kind of MOGA(multi-objective genetic algorithms) to seek for the non-inferior solution to the MO problems, while the filtering of the non-inferior solutions and the measuring of the fitness degree were discussed. The proposed algorithm was applied to a two-objective optimization of a hypothetical airliner conceptual design, where both the ratio of lift to drag in cruise segment and the useful load fraction were required to be maximized. The optimal solutions were analyzed and compared to the solution from uni-objective optimization using simple genetic algorithms. The research result demonstrates that MOGA possesses a good application foreground for the aircraft conceptual multi-objective optimization.