一种改进的协同优化算法

计算机工程与科学

一种改进的协同优化算法

徐傲，郑松，葛铭，王强,王春林

（杭州电子科技大学自动化学院，浙江杭州 310000）

收稿日期:2015-06-23 修回日期:2015-10-28 出版日期:2016-11-25 发布日期:2016-11-25
基金资助:
国家自然科学基金（61304211,61375078 ）

An improved collaborative optimization algorithm

XU Ao,ZHENG Song,GE Ming,WANG Qiang，WANG Chunlin

（College of Automation,Hangzhou Dianzi University,Hangzhou 310000,China）

Received:2015-06-23 Revised:2015-10-28 Online:2016-11-25 Published:2016-11-25

摘要/Abstract

摘要：

针对协同优化过程对初始点敏感以及容易陷入局部最优点的问题，提出了一种改进的协同优化算法。改

进后的协同优化算法综合考虑学科级优化设计点与系统级设计点的距离以及子学科级内部最优设计点，

能较好地减弱优化结果对初始点以及松弛因子选择的依赖性，更容易找到优化问题全局最优设计点。最

后，通过两个经典算例验证了改进算法的有效性及稳定性。

关键词: 协同优化, 松弛因子, 初始点

Abstract:

Regarding the problems that the process of optimization is sensitive to the initial point

and easily trapped into local optimum,we propose an improved collaborative optimization

algorithm.The proposed algorithm takes into account of the distance between the

disciplinary level design point and and the system level internal design point,as well as

the disciplinary levels optimal design point.Besides,it can weaken the dependence of

optimization results on the relaxing factor and the initial point,and find the optimal

design point using the least times of optimization iteration.Two classical examples verify

the effectiveness and stability of our proposal.

Key words: collaborative optimization, relaxing factor, initial point

徐傲，郑松，葛铭，王强,王春林. 一种改进的协同优化算法[J]. 计算机工程与科学.

XU Ao,ZHENG Song,GE Ming,WANG Qiang，WANG Chunlin. An improved collaborative optimization algorithm[J]. Computer Engineering & Science.

参考文献

［1］Kong Fanguo， Li Yu. Multidisciplinary design optimization method compared with

traditional design optimization method research［J］.Computer Engineering &

Science,2008,30(7):136138.(in Chinese)

［2］Zhao Min,Cao Anxi,Cui Weicheng.The comparison of multidisciplinary optimization

methods ［J］.China Shipbuilding,2008,49(3):6878.(in Chinese)

［3］Kroo I,Altus S,Braun R,et al.Multidisciplinary optimization methods for aircraft

preliminary design：AIAA 944325［R］.Washington DC:NASA Langley Technical Report

Server,1994.

［4］Braun R D,Gage P,Kroo I.Implementation and performance issues in collaborative

optimization：AIAA 964017［R］.Washington DC:NASA Langley Technical Report Server,1996.

［5］Sobieski L P,Kroo I.Collaborative optimization using respond surface estimation:AIAA

980915［R］.Washington DC:NASA Langley Technical Report Server,1998.

［6］Zhou Qi,Zhang Lili,Xu Hui,et al.Improvement of multidisciplinary collaborative

optimization algorithm and its application ［J］.Computer and Digital Engineering,2014,42

(1):6668.(in Chinese)

［7］Xu Hui.An improved multidisciplinary collaborative optimization algorithm and its

application ［J］.Journal of Electronic Engineering Ships,2014,34(7):6064.(in Chinese)

［8］Wei Fengtao,Song Li,Li Yan,et al.Improvement of multidisciplinary collaborative

optimization method ［J］.Journal of Computer Integrated Manufacturing System,2013,19

(9):21162122.(in Chinese)

［9］Fang Pengya,Chang Xinlong,Hu Kuan,et al.The collaborative optimization algorithm

based on asymptotic relaxation ［J］.Journal of Shanghai Jiao Tong University,2013,47

(12):18961901.(in Chinese)

［10］Wang Xiaoqing.Collaborative optimization method compared with the method of

evaluation and muck space and ［J］.Science in China，2009,39(3):509515.(in Chinese)

［11］Jiang Lujia,Xin Wanqing.Collaborative optimization method case study

［J］.Journal of Computer Applications,2008,

28(S2):111113.(in Chinese)

附中文参考文献：

［1］孔凡国,李钰.多学科设计优化方法与传统设计优化方法比较研究［J］.计算机工程与科

学,2008,30(7):136138.

［2］赵敏，操安喜，崔维成.多学科优化方法的比较［J］.中国造船,2008,49(3):6878.

［6］周琦,张立丽，许辉，等.改进的多学科协同优化算法及其应用［J］.计算机与数字工程,2014,42

(1):6668.

［7］许辉.一种改进的多学科协同优化算法及其应用［J］.舰船电子工程,2014,34(7):6064.

［8］魏锋涛，宋俐，李言，等.改进的多学科协同优化方法［J］.计算机集成制造系统,2013,19

(9):21162122.

［9］方鹏亚，常新龙，胡宽，等.基于渐近松弛的协同优化算法［J］.上海交通大学学报，2013,47

(12):18961901.

［10］王晓青.协同优化方法与并行子空间方法的评估与比较［J］.中国科学,2009,39(3):509515.

［11］蒋鲁佳，辛万青.协同优化方法算例研究［J］.计算机应用,2008,28(S2):111113.

[1]	谈兆年，计卫星，Akrem Benatia，高建花，李安民，王一拙. 面向异构计算平台的SpMV划分优化算法研究[J]. 计算机工程与科学, 2019, 41(04): 590-597.
[2]	黄仕贵，郑松，葛铭，魏江. 一种具有全局快速寻优的多学科协同优化方法[J]. 计算机工程与科学, 2017, 39(09): 1736-1741.
[3]	赵宏伟，刘波，谢广钱，刘恒. 卫星有效载荷的多目标多学科设计优化研究[J]. J4, 2015, 37(12): 2276-2281.
[4]	李冬琴1，2，杨永祥1，陈智同2. 一种改进的协同优化算法及其应用[J]. J4, 2013, 35(1): 137-141.