机械制造与自动化Issue(5)：27-30,81,5.DOI:10.19344/j.cnki.issn1671-5276.2017.05.007
一种具有收敛稳定性的改进协同优化方法
A Modified Collaborative Optimization Method with Convergence Stability
摘要
Abstract
To overcome the defect caused by using quadratic formula consistent constraints in the standard collaborative optimization method, a new collaborative optimization ( MCO) method is proposed, in which the design variables are decomposed into system-level design variables and subsystem-level local design variables. The system-level objective function is expressed in first order Tay-lor to obtain the influencing factor expression which is used to determine the relationship between the subsystem design variables and the system-level objective function and the influencing factor expression is used as the subsystem objective function to replace the o-riginal consistency constraint. This paper takes the cylindrical gear reducer as a design optimization example to illustrate the conver-gence stability and high efficiency of the proposed method.关键词
多学科设计优化/协同优化方法/多目标设计/优化设计/齿轮减速器Key words
multidisciplinary design optimization/collaborative optimization/multi-objective design/optimization design/gear reduc-er分类
信息技术与安全科学引用本文复制引用
张超,陈亮,黄亚庆..一种具有收敛稳定性的改进协同优化方法[J].机械制造与自动化,2017,(5):27-30,81,5.基金项目
国家自然科学基金项目(50875049) （50875049）
福建省自然科学基金项目(2014J01184) （2014J01184）
