Browse/search for people

Publication - Professor Mark Lowenberg

    Enhanced evolutionary-based optimization techniques applied to a nonlinear landing gear design problem

    Citation

    Tartaruga, I, Cooper, J, Lowenberg, M & Lemmens, Y, 2019, ‘Enhanced evolutionary-based optimization techniques applied to a nonlinear landing gear design problem’. Journal of Aircraft.

    Abstract

    Engineering design processes often use optimization strategies, which aim to minimize multi-objective functions. The analysis should consider the uncertainty in a system, which may cause signicant changes in its behaviour. The inclusion of the uncertainty in the design process makes the identication of an optimum design more challenging. In this paper, two novel optimization methods (Iterative Dierential
    Evolutionary Algorithm - I.D.E.A. and Reliable & Robust Evolutionary Algorithm - R.R.E.A.) are presented. These optimization strategies aim to solve problems that are very time demanding and for which it is difficult (and expensive) to determine derivatives and to identify and dene the optimum set of parameters. The approaches
    are validated considering as a test case the optimization of a landing gear system in
    order to avoid the onset of shimmy, assuring a reliable design.

    Full details in the University publications repository