Airfoil optimization based on distributed particle swarm algorithm

A CFD optimization method is developed by solving Navier-Stokes equations. On the basis of the particle swarm optimization (PSO) algorithm, the selection mechanism of genetic algorithm was combined to PSO. An improved particle swarm optimization algorithm (SELPSO) which based on nature selection was developed to enhance precision and improve the global convergence of the algorithm. Distributed computation was introduced to the optimization process to improve disadvantage of serial computation. The disadvantage is low efficiency. The optimization system based on distributed particle swarm algorithm was established. It was proved that the efficiency and quality of the system was greatly improved by using improved particle swarm optimization algorithm (SELPSO).