Integrating a human designer's preferences in multidisciplinary design optimization

Paul Reverdy, Akhil Reddy, Luigi Martinelli, Naomi E. Leonard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624102820
DOIs
StatePublished - 2014
EventAIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference 2014 - Atlanta, GA, United States
Duration: Jun 16 2014Jun 20 2014

Publication series

NameAIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference

Other

OtherAIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference 2014
CountryUnited States
CityAtlanta, GA
Period6/16/146/20/14

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering

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  • Cite this

    Reverdy, P., Reddy, A., Martinelli, L., & Leonard, N. E. (2014). Integrating a human designer's preferences in multidisciplinary design optimization. In AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference (AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference). American Institute of Aeronautics and Astronautics Inc.. https://doi.org/10.2514/6.2014-2167