@inproceedings{0e0cbe427f6c4ccc991b575dea5e47af,
title = "Integrating a human designer's preferences in multidisciplinary design optimization",
abstract = "Multidisciplinary Design Optimization (MDO) is a powerful engineering tool that allows designers to incorporate information from all relevant design disciplines simultaneously. In aerospace applications, for example, MDO has been used to produce designs that incorporate both the structural and aerodynamic disciplines. It is not generally possible to optimize the objectives of all disciplines simultaneously, so producing an optimal design requires a human designer to balance the tradeoffs between the various objectives. We propose and implement a novel system that helps the designer explore the various possible tradeoffs and systematically find their most preferred design. We show that the system converges to the most preferred design in a simulated task and discuss how it could be used in an industrial MDO problem.",
author = "Paul Reverdy and Akhil Reddy and Luigi Martinelli and Leonard, {Naomi E.}",
year = "2014",
doi = "10.2514/6.2014-2167",
language = "English (US)",
isbn = "9781624102820",
series = "AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference",
note = "AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference 2014 ; Conference date: 16-06-2014 Through 20-06-2014",
}