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    A Sequential Approach for Robust Multidisciplinary Design Optimization Under Mixed Interval and Probabilistic Uncertainties 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:002:;page 20905
    Author(s): Xia, Tingting; Li, Mian
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Uncertainties cannot be ignored in the design process of complex multidisciplinary systems. Robust multidisciplinary design optimization methods (RMDOs) can treat uncertainties as specified probabilistic distributions when ...
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    An Efficient Multi-Objective Robust Optimization Method by Sequentially Searching From Nominal Pareto Solutions 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 004:;page 041010-1
    Author(s): Xia, Tingting; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-objective optimization problems (MOOPs) with uncertainties are common in engineering design. To find robust Pareto fronts, multi-objective robust optimization (MORO) methods with inner–outer optimization structures ...
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    A Sequential Robust Optimization Approach for Multidisciplinary Design Optimization With Uncertainty 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 011:;page 111406
    Author(s): Xia, Tingting; Li, Mian; Zhou, Jianhua
    Publisher: The American Society of Mechanical Engineers (ASME)
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