| 一种改进的协同优化算法 |
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| 引用本文： | 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,2016,38(11):2310-2313. |
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| 作者姓名： | 徐傲 郑松 葛铭 王强 王春林 |
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| 作者单位： | ;1.杭州电子科技大学自动化学院 |
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| 基金项目： | 国家自然科学基金（61304211,61375078 ） |
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| 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。
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| 关 键 词： | 协同优化 松弛因子 初始点 |
| 收稿时间： | 2015-06-23 |
| 修稿时间： | 2016-11-25 |
An improved collaborative optimization algorithm |
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| XU Ao,ZHENG Song,GE Ming,WANG Qiang,WANG Chun lin.An improved collaborative optimization algorithm[J].Computer Engineering & Science,2016,38(11):2310-2313. |
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| Authors: | XU Ao ZHENG Song GE Ming WANG Qiang WANG Chun lin |
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| Affiliation: | （College of Automation,Hangzhou Dianzi University,Hangzhou 310000,China） |
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| 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 levels 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. |
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| Keywords: | collaborative optimization relaxing factor initial point |
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