计算机工程与应用2016，Vol.52Issue(23)：55-59,5.DOI:10.3778/j.issn.1002-8331.1501-0088
多学科协同优化算法的分析和改进
Analysis and improvement of multidisciplinary collaborative optimiza-tion method
摘要
Abstract
To solve the problem that CO is large in computing capacity and the results are always local optimal solution, an improved CO method is presented. Firstly, a new slack factor is introduced in system optimization to ensure the exis-tence of system feasibility that gradually reduces to keep consistent. Secondly, the objective function of subsystem is divided into two parts:consistent objective function and subsystem optimal objective function. Those two functions are added with different weights as subsystem objective function. This not only considers the consistence, but also takes into account the independence of subsystem. Thirdly, taking results that subsystem independently optimized is as initial point for optimization. Finally two classic examples are optimized by the improved CO method, and the results show that it has better convergence rate and feasibility.关键词
协同优化/松弛因子/一致性/独立性Key words
Collaborative Optimization(CO)/slack factor/consistency/independence分类
信息技术与安全科学引用本文复制引用
王强,郑松,徐傲,葛铭..多学科协同优化算法的分析和改进[J].计算机工程与应用,2016,52(23):55-59,5.基金项目
国家自然科学基金（No.61304211，No.61375078）。 （）
