Multidisciplinary stochastic search optimization method based on Isight

被引：0
|
作者：
Yu B. [1 ]
Yang X. [1 ]
Li W. [1 ]
机构：
[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 03期
关键词：
Ideal coupling point; Isight optimization platform; Multidisciplinary design optimization; Stochastic search; Tower-type three-dimensional garage;
D O I：
10.13196/j.cims.2019.03.021
中图分类号：
学科分类号：
摘要：
To solve the problem of coupling between subsystems in multidisciplinary design optimization algorithm, a multidisciplinary design optimization method based on stochastic search approach was proposed. Based on the independent analysis and optimization of each subsystem, the selection function was constructed to obtain the ideal coupling point in the randomly generated point group, which overcame the limitations of traditional sensitivity-based decoupling method, and the space for finding the ideal coupling point was widened. With the ideal coupling point as a reference, the coupling function was used as the optimization objective of subsystem for continuously adjusting the optimization target of the subsystem. The multi-objective optimization strategy was used to optimize the subsystems, and the coupling relationship between sub-systems was improved. Based on Isight optimization platform, the multidisciplinary stochastic search optimization algorithm was constructed with a variety of disciplinary analysis tools, which was verified in the optimization design of the tower-type three-dimensional garage. © 2019, Editorial Department of CIMS. All right reserved.
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页码：743 / 751
页数：8
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