哈尔滨工程大学学报2011，Vol.32Issue(4)：407-410,438,5.DOI:10.3969/j.issn.1006-7043.2011.04.002
响应面模型在艇型多目标优化中的应用
Application of a response surface model in multi-objective optimization for submersible shapes
摘要
Abstract
The techniques of experimental design, response surface models, and a multi-objective genetic algorithm were studied for optimizing submersible shapes. Six parameters which determined the shape of revolution were selected, and second-order polynomial response surface models of drag and surrounded volume were constructed using these samples and responses obtained by hydrodynamic calculations. A multi-objective genetic algorithm was studied to solve the problem of shape optimization with two objectives, which were minimum drag and maximum surround volume, and the Pareto optimal solutions were given in the end. The result shows that this method can improve efficiency and achieve optimal intention. The approximation of drag for shape revolution and the graphs of influence from submersible shapes on drag provide valuable reference information for later research.关键词
潜器/试验设计/响应面模型/多目标优化Key words
submersible/ design of experiment/ response surface model/ multi-objective optimization分类
交通工程引用本文复制引用
杨卓懿,庞永杰,王建,宋磊..响应面模型在艇型多目标优化中的应用[J].哈尔滨工程大学学报,2011,32(4):407-410,438,5.基金项目
水下智能机器人技术国防科技重点实验室开放课题研究基金资助项目(2009001) （2009001）
中央高校基本科研业务费专项基金资助项目(HEUCF100103). （HEUCF100103）
