空气动力学学报2012，Vol.30Issue(1)：46-51,6.
多目标进化算法和代理模型技术在气动稳健优化设计中的应用
The application of multi-objective evolutionary algorithm and surrogate model to aerodynamic robust optimization design
李焦赞 1高正红1
作者信息
- 1. 西北工业大学翼型叶栅空气动力学国家级科技重点实验室,陕西西安710072
- 折叠
摘要
Abstract
According to the differences analysis compared with the traditional optimization method, here constructs an aerodynamic robust optimization design model aimed at the uncertainty influence of the flight environment parameter, and also demonstrates how both multi-objective evolutionary algorithm and surrogate model can be used to achieve robust optimal designs. Airfoil robust optimization example using the chosen technique has executed and then obtained the Pareto frontier of the result. The illustrated result shows that the robust optimization gets more stable performance and more advantage in aerodynamic design.关键词
多目标进化/代理模型/不确定性/稳健优化设计/翼型Key words
multi-objective evolutionary/ surrogate model/ robust optimization design/ airfoil分类
航空航天引用本文复制引用
李焦赞,高正红..多目标进化算法和代理模型技术在气动稳健优化设计中的应用[J].空气动力学学报,2012,30(1):46-51,6.
