Robust design optimisation using multi-objective evolutionary algorithms

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

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    49 Citations (Scopus)


    In this paper, a new robust design method is investigated with a hierarchical asynchronous parallel multi-objective evolutionary algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Here, it is shown how the approach can provide robust solutions using game theory in the sense that they are less sensitive to little changes of input parameters. Starting from a statistical definition of stability, the method captures, simultaneously Pareto non-dominated solutions with respect to performance and stability criteria, offering alternative choices to the designer.

    Original languageEnglish
    Pages (from-to)565-583
    Number of pages19
    JournalComputers and Fluids
    Issue number5
    Publication statusPublished - Jun 2008


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