摘要
通过引入最优拉丁超立方实验设计法、代理模型、多岛遗传算法,并编写相关程序搭建全自动集成优化平台.基于该平台,以车翼结合体为对象,以尾翼攻角及离地间距为设计变量,获得满足设定优化目标的尾翼安装位置,并通过数值仿真验证其有效性的同时揭示其内在机理.最后,明确该集成优化平台的高效适用范围.
An automatic integrated multi-objective optimization platform was built by using optimal Latin hypercube design method,approximation model,multipleisland genetic algorithm and compiled program.Based on the platform,the installation position of spoiler was obtained to meet the optimization objective requirements with attack angle and ground clearance as experimental variables.By simulation results,the validity was confirmed and the internal mechanism was revealed.Finally,the scope of efficient application was clarified.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第7期1058-1062,共5页
Journal of Tongji University:Natural Science
基金
国家"九七三"重点基础研究发展计划(2011CB711203)
上海市科学技术委员会资助项目(11DZ2260400)
上海市地面交通工具风洞专业技术服务平台(14DZ2291400)
关键词
集成优化
尾翼
数值仿真
integrated optimization
spoiler
numerical simulation
