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分级型进化算法及其在翼型跨声速气动优化中的应用
引用本文:王江峰,伍贻兆.分级型进化算法及其在翼型跨声速气动优化中的应用[J].中国航空学报,2003,16(1):1-6.
作者姓名:王江峰  伍贻兆
作者单位:College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
基金项目:Start-up foundation item of the Educational Department of China for returnees
摘    要:提出了变精度模型的分级型进化算法并对初始翼型为NACA0012的二维翼型进行了跨声速流动下的形状增升优化。借鉴自然进化中不同进化阶段个体适应度评估环境不同的机理,构造了分级精度模型以加速优化过程。对翼型进行了给定气动条件下的形状增升优化,给出了优化结果,并与传统基因算法及单精度模型算法结果进行了对比。

关 键 词:跨声速流动  气动优化  翼型  非结构网格  进化算法

Hierarchial Evolutionary Algorithms and Its Application in Transonic Airfoil Optimization in Aerodynamics
WANG Jiang-feng,WU Yi-zhao.Hierarchial Evolutionary Algorithms and Its Application in Transonic Airfoil Optimization in Aerodynamics[J].Chinese Journal of Aeronautics,2003,16(1):1-6.
Authors:WANG Jiang-feng  WU Yi-zhao
Abstract:Hierarchical evolutionary algorithms based on genetic algorithms (GAs) and Nash strategy of game theory are proposed to accelerate the optimization process and implemented in transonic aerodynamic shape optimization problems Inspired from the natural evolution history that different periods with certain environments have different criteria for the evaluations of individuals' fitness, a hierarchical fidelity model is introduced to reach high optimization efficiency The shape of an NACA0012 based airfoil is optimized in maximizing the lift coefficient under a given transonic flow condition Optimized results are presented and compared with the single model results and traditional GA
Keywords:transonic flow  aerodynamic optimization  finite element method  unstructured grid  hierarchical fidelity models  evolutionary algorithms
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