Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering

D. S. Lee*, L. F. Gonzalez, J. Périaux, K. Srinivas

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    16 Citations (Scopus)


    One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainties or variability in the design parameters or operating conditions. This paper describes a methodology for robust multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology, which is based on canonical evolution algorithms, is enhanced by its coupling with an uncertainty analysis technique. The paper illustrates the use of this methodology on two practical test cases related to Unmanned Aerial Systems (UAS). These are the ideal candidates due to the multi-physics involved and the variability of missions to be performed. Results obtained from the optimisation show that the method is effective to find useful Pareto non-dominated solutions and demonstrate the use of robust design techniques.

    Original languageEnglish
    Title of host publication100 Volumes of 'Notes on Numerical Fluid Mechanics'
    Subtitle of host publication40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect
    EditorsErnst Heinrich Hirschel, Egon Krause
    Place of PublicationBerlin
    PublisherSpringer, Springer Nature
    Number of pages14
    ISBN (Electronic)9783540708056
    ISBN (Print)9783540708049, 3540708049
    Publication statusPublished - 2009

    Publication series

    NameNotes on Numerical Fluid Mechanics and Multidisciplinary Design
    ISSN (Print)16122909


    Dive into the research topics of 'Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering'. Together they form a unique fingerprint.

    Cite this