@inproceedings{9a934fa912184f9f9f58dc87666fcc17,
title = "A multi-domain physical model design optimization method considering uncertainties",
abstract = "Large-scale To reduce the impact of uncertainty on the design results, A Multi-Domain Physical Model Design Optimization Method Considering Uncertainties is proposed. The method use XML to incorporate uncertainty into the design variables and design parameters of the Modelica model. The performance objective function and state function are obtained by solving the sequence of performance variables. A hybrid agent model based on incremental sequence sampling is used to reduce calculation of optimization. Finally, An engineering application test are demonstrated to verify the effectiveness of the proposed method.",
keywords = "Hybrid agent model, Modelica, Uncertainties design optimization",
author = "Haiyang Lv and Jiangling Zhou and Chao Fu and Jihong Liu and Wenting Xu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 ; Conference date: 24-05-2019 Through 26-05-2019",
year = "2019",
month = may,
doi = "10.1109/ITAIC.2019.8785723",
language = "英语",
series = "Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1678--1682",
editor = "Bing Xu",
booktitle = "Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019",
address = "美国",
}