面向多学科设计优化的改进双级集成系统协同优化方法

Hui Zhou, P. Jiang, X. Shao, Yongsheng Yi
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引用次数: 5

摘要

双级集成系统协同优化(BLISCO)是近年来发展起来的一种分层多学科设计优化方法,具有良好的收敛性、精度和鲁棒性。然而,现有的BLISCO方法由于需要计算原目标对共享耦合变量的偏导数,可能导致子系统目标函数再次相互耦合,从而阻碍了子系统优化的并行化。本文引入了拟可分MDO问题形式,并在此基础上提出了一种改进的BLISCO方法来解决该问题。最后,通过一个数学算例和一个工程问题验证了改进BLISCO方法的可行性、准确性和高效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Bi-Level Integrated System Collaborative Optimization method for multidisciplinary design optimization
Bi-Level Integrated System Collaborative Optimization (BLISCO) is a recently developed hierarchical multidisciplinary design optimization (MDO) methodology, owning good convergence property, accuracy and robustness. However, the subsystem objective functions in existing BLISCO methods may be mutually coupled again caused by the step of calculating partial derivatives of the original objective with respective to the shared coupled variables, and thus prevent the parallelization of the subsystem optimization. In this paper, the quasi-separable MDO problem form is introduced and an improved BLISCO method based on this form is proposed to tackle this problem. At last, one mathematical example and one engineering problem are used to test the feasibility, accuracy and efficiency of the improved BLISCO method.
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