摘要
针对许多已有的优化方法中存在着一些无法克服的缺陷,本文提出了基于试验设计的近似模型优化方法:该优化方法以实验设计为指导结合目标函数评估手段获得样本数据点集合,在此基础上运用近似模型拟合技术建立自变量与响应值之间的近似模型;然后利用数值优化方法求取该优化模型的最优解,即为所求问题的最优解。本文应用这一优化方法对一离心泵叶轮进行了优化设计,优化结果表明这种新的优化方法具有高效和精确的优点。
Many existing optimization methods have inherent limitations which cannot be overcome. For traditional methods, the global optimization values are often outside the searching domain; for recent methods, such as genetic algorithm and simulated annealing, their computation efficiency is very low. In an attempt to find a method that does not have such inherent limitations, we present an optimization method based on Design of Experiments （DOE） and approximation model method. The first step of this optimization method is to set up a DOE-guided database. Once the database is set up, approximation model fitting technique is used to build an approximation model for independent variables and dependent variables. Finally, numerical optimization method is used to obtain the optimal solution for this optimization model. This new optimization method is applied to optimizing centrifugal impellers. Results show that this method is very efficient and accurate.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2008年第6期707-711,共5页
Journal of Northwestern Polytechnical University
基金
自然科学基金(50506026)
西北工业大学基础研究基金(W018101)资助
关键词
优化
近似模型
离心泵
实验设计
optimization, approximation model, centrifugal pump, design of experiments
