Airfoil optimization based on distributed particle swarm algorithm

被引：0
|
作者：
Li, Jing [1 ]
Gao, Zheng-Hong [1 ]
Huang, Jiang-Tao [1 ]
Zhao, Ke [1 ]
机构：
[1] National Key Laboratory of Aerodynamic Design and Research, Northwestern Polytechnical University, Xi'an 710072, China
来源：
Kongqi Donglixue Xuebao/Acta Aerodynamica Sinica | 2011年 / 29卷 / 04期
关键词：
Distributed computer systems - Efficiency - Genetic algorithms - Particle swarm optimization (PSO) - Viscous flow;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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).
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页码：464 / 469
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