An Efficient Approach for Uncertainty Analysis in Multidisciplinary Design Optimization

DOI

10.2991/emeit.2012.343How to use a DOI?

Keywords

Multidisciplinary system design, Uncertainty, Response surface, Evidence theory

Abstract

In this paper, an efficient multidisciplinary design optimization method based on evidence theory is proposed. Evidence theory is used to quantify uncertainty in terms of uncertainty measures of belief and plausibility. Since uncertainty measures provided by evidence theory are discontinuous functions, the response surface is utilized to obtain smooth functions so that the traditional gradient-based algorithms can be used in optimization.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Laixi Zhang
AU  - Yuan Zhang
AU  - Xiaolong Shen
PY  - 2012/09
DA  - 2012/09
TI  - An Efficient Approach for Uncertainty Analysis in Multidisciplinary Design Optimization
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1546
EP  - 1549
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.343
DO  - 10.2991/emeit.2012.343
ID  - Zhang2012/09
ER  -