南京航空航天大学学报2013，Vol.45Issue(4)：485-490,6.
基于并行EGO算法的激波控制鼓包减阻优化
Shock Control Bump Optimization for Drag Reduction Using Parallel Efficient Global Optimization Algorithm
摘要
Abstract
The parallel efficient global optimization (EGO) algorithm is applied to the 2-D/3-D shock control bump optimizations.The EGO algorithm is a global optimization method based on the Kriging model,which is especially designed for expensive black box functions,such as high-fidelity aerodynamic shape optimizations.Three heuristic parallel strategies including "Kriging believer","constant liar" and " imputed point" strategies are investigated based on four benchmark optimization problems and two shock control bump optimization problems.In shock control bump optimization problems,the parallel EGO algorithm is nearly 16 times faster than the serial EGO algorithm.And our research also shows that' Imputed point' strategy is the best strategy in these optimization problems.关键词
计算流体力学/气动外形优化/激波控制鼓包/全局优化/并行计算Key words
computational fluid dynamics/ aerodynamic shape optimization/ shock control bump/ global optimization/ parallel computing分类
航空航天引用本文复制引用
邓枫,覃宁,伍贻兆..基于并行EGO算法的激波控制鼓包减阻优化[J].南京航空航天大学学报,2013,45(4):485-490,6.基金项目
中央高校基本科研业务费专项科研(NJ2011002)资助项目 （NJ2011002）
江苏高校优势学科建设工程资助项目. （）
