TY - GEN
T1 - A Unified Framework for Multidisciplinary Design Optimization Application
AU - Zhang, Ning
AU - Song, Baowei
AU - Wang, Peng
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Research on the development of optimization modeling systems is relatively mature, but for multidisciplinary design optimization (MDO) application there are still some issues of accessibility and high efficiency. Based on the existing MDO algorithms, this paper presents a unified framework for formulating and solving the multidisciplinary optimization problem with various MDO methods in an efficient, simple and friendly manner. A multidisciplinary descriptive language is also proposed at the same time for the unified framework. The framework is designed to make researchers focus on the multidisciplinary optimization problem, rather than on algorithms implementation and software programming. Using the unified framework, researchers can solve the multidisciplinary optimization problem by creating a configuration file without any coding. The framework has integrated a variety of MDO architectures and also provides interface for other developers to add new optimization algorithm. Furthermore, examples demonstrate the usage of the framework as well as the advantages of the unified framework.
AB - Research on the development of optimization modeling systems is relatively mature, but for multidisciplinary design optimization (MDO) application there are still some issues of accessibility and high efficiency. Based on the existing MDO algorithms, this paper presents a unified framework for formulating and solving the multidisciplinary optimization problem with various MDO methods in an efficient, simple and friendly manner. A multidisciplinary descriptive language is also proposed at the same time for the unified framework. The framework is designed to make researchers focus on the multidisciplinary optimization problem, rather than on algorithms implementation and software programming. Using the unified framework, researchers can solve the multidisciplinary optimization problem by creating a configuration file without any coding. The framework has integrated a variety of MDO architectures and also provides interface for other developers to add new optimization algorithm. Furthermore, examples demonstrate the usage of the framework as well as the advantages of the unified framework.
KW - multidisciplinary descriptive language
KW - multidisciplinary design optimization
KW - unified framework
UR - http://www.scopus.com/inward/record.url?scp=85050479616&partnerID=8YFLogxK
U2 - 10.1109/DCABES.2017.39
DO - 10.1109/DCABES.2017.39
M3 - 会议稿件
AN - SCOPUS:85050479616
T3 - Proceedings - 2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2017
SP - 145
EP - 149
BT - Proceedings - 2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2017
A2 - Yucheng, Guo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2017
Y2 - 16 November 2017 through 19 November 2017
ER -