摘要
为了提高协同优化算法的求解效率,利用Kriging模型,构造系统级近似优化模型,提出了基于Kriging模型的改进协同优化算法.该算法采用置信域与均匀设计相结合的方法,完成近似模型的更新;采用序列二次规划算法,完成优化问题的求解.以经典函数和减速器设计为例,验证了改进协同优化算法.结果表明:该算法能提高计算效率,在减速器设计中,迭代次数减少50%左右.
In order to improve the computational efficiency of the conventional collaborative optimization（CO）,an improved collaborative optimization algorithm based on the Kriging model（Kriging-CO for short） was proposed.In this algorithm,the approximate optimization model at the system level is constructed with the Kriging model,and is updated by uniform design combined with confidence regions.The Kriging-CO was verified through the optimization of a classical function and the design of a speed reducer,and the optimization models were solved using the sequential quadratic programming algorithm.Numerical results show that the Kriging-CO can improve the computational efficiency.For the complex speed reducer design,the Kriging-CO,compared with the CO,reduced the number of iterations in the optimization computation by about 50%.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2010年第4期539-543,共5页
Journal of Southwest Jiaotong University
基金
四川省科技支撑计划项目(2008GZ0149)
关键词
多学科设计优化
协同优化
KRIGING模型
multidisciplinary design optimization
collaborative optimization
Kriging model
