空气动力学学报2011，Vol.29Issue(6)：759-764,6.
Kriging模型在机翼气动外形优化中的应用
Application of Kriging surrogate model for aerodynamic shape optimization of wing
摘要
Abstract
A optimization method based on Kriging surrogate model is developed in order to reduce the number of evaluations of global optimum algorithms such as PSO. A double-layer particle swarm optimization arithmetic based on the Kriging model which enhanced precision by using a modified QPSO to compute the global optimums of correlation model parameters. Reynolds-Averaged Navier-Stokes flow solver and nonlinear weighted sum of multi-objective method is used to optimize transonic wing with multi-objective and multi-restriction. The results demonstrated that the pro posed approach achieves significant drag and moment reduction with ideal pressure distributions over the wing and can be used in an engineering environment.关键词
粒子群优化算法/Kriging代理模型/多目标加权/机翼/数值模拟Key words
particle swarm optimization/ Kriging surrogate model/ weighted sum of multi-objective/ wings/ numerical simulation分类
航空航天引用本文复制引用
孙美建,詹浩..Kriging模型在机翼气动外形优化中的应用[J].空气动力学学报,2011,29(6):759-764,6.基金项目
西北工业大学研究生创新实验中心项目(2010001) （2010001）
