Simple genetic algorithm(GA) was improved with fast non-dominated sort approach

crowded distance estimation and crowded comparison operator.A new algorithm called parallel multi-objective genetic algorithm(PMGA) was developed using the master-slave parallel programming model with the support of massage passing interface (MPI).To establish the aerodynamic optimization design platform for high bypass ratio separate-flow exhaust system

PMGA was combined with profile parameterization of exhaust system and Navier-Stokes solver.With this platform

aerodynamic optimization design of the high bypass ratio separate-flow exhaust system was performed

and a set of Pareto-optimal solutions which was better than the initial design in three objectives was obtained.Detailed comparison and analysis of the Pareto-optimal designs and initial design confirmed the high efficiency and validity of the parallel multi-objective aerodynamic optimization design platform.