摘要
由于目标函数复杂且流场求解耗时,气动优化设计需要选择搜索能力强且调用目标次数少的优化算法,现有的优化算法种类很多,针对不同类型问题算法性能不同。本文将常用的多目标优化算法进行了分类总结并进行函数测试,判断各个优化算法对不同问题的收敛性和稳定性,找出适合气动优化的多目标优化算法。将该算法应用于气动优化问题当中,进行了针对翼型的气动优化设计,缩短了优化时间,取得了一定的优化效果。
Aerodynamic optimization design is a complex problem.The analysis of aerodynamics is an extremely time-consuming process.In order to reduce the process of aerodynamics analysis,the aerodynamic optimization design needs to choose optimization algorithm which has a better search capability.There are too many optimization algorithms at present.These optimization algorithms have different capability for different questions.In this paper,function optimization is used to judge the convergence stability and convergence speed of different algorithms at present and find the algorithm which is fit for aerodynamic optimization.Then,this algorithm is applied on an airfoil shape aerodynamic optimization problem.The optimization result proves that the evolutionary algorithm has a better search capability.
出处
《空气动力学学报》
EI
CSCD
北大核心
2011年第5期634-639,共6页
Acta Aerodynamica Sinica
关键词
多目标优化
函数测试
气动优化设计
multi-objective optimization algorithm
function optimization
aerodynamic optimization design
