An improved collaborative optimization algorithm

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

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

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

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

[1]	TAN Zhaonian，JI Weixing，AKREM Benatia，GAO Jianhua,LI Anmin,WANG Yizhuo. An SpMV partitioning and optimization algorithm on heterogeneous computing platforms [J]. Computer Engineering & Science, 2019, 41(04): 590-597.
[2]	HUANG Shi-gui,ZHENG Song,GE Ming,WEI Jiang. Improved multidisciplinary collaborative optimization with global fast optimization [J]. Computer Engineering & Science, 2017, 39(09): 1736-1741.
[3]	ZHAO Hongwei，LIU Bo，XIE Guangqian，LIU Heng. Multi-objective and multidisciplinary design optimization of satellite payload [J]. J4, 2015, 37(12): 2276-2281.
[4]	LI Dongqin1，2，YANG Yongxiang1，CHEN Zhitong2. An improved collaborative optimization algorithm and its application [J]. J4, 2013, 35(1): 137-141.

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