摘要
针对协同优化算法是多学科设计优化方法中应用最广、效果最好的MDO算法,但是在应用中存在计算困难的现状,分析了引起协同优化算法计算困难的原因,提出一种改良的协同优化算法——ICO多学科设计优化方法。改进学科一致性约束,增加系统级罚函数,采用快速启动方法,较好地克服了协同优化算法存在计算困难的缺点。标准算例试验结果表明,ICO多学科设计方法能够有效提高算法的稳定性、可靠性和计算效率。
Collaborative optimization （CO） is the most widely used MDO method, which has good effect in application, however some serious computational difficulties are found in its application. Reasons that cause computational difficulties in collaborative optimization are analyzed and a new improved collaborative optimization method （ICO） is presented. Improved subsystem consistency constraint, system-level penalty function, and a quick-start strategy are used in ICO. These measures overcome the computational difficulties of CO better. Experimental results show that the robustness, reliability and computing efficiency of ICO are higher than CO.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2006年第11期34-38,共5页
Journal of Mechanical Engineering
基金
国家自然科学基金(50275005)
国防基础科研(K1203010804)资助项目
关键词
优化
计算机辅助设计
改进
协同优化算法
多学科设计优化
Optimization Computer aided design improvement Collaborative optimization Multidisciplinary design optimization
作者简介
韩明红，男，1974年出生，博士后。主要研究方向为多学科设计优化技术、优化算法、产品设计理论，设计自动化集成环境。E-mail：hanminghong@163．com
