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    Improved Augmented Lagrangian Relaxation-Assisted Analytical Target Cascading for Multidisciplinary Design Optimization 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 008:;page 81701-1
    Author(s): Zhou, Xiaowei; Li, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Analytical target cascading (ATC) is an optimization strategy designed for multilevel and multidisciplinary design optimization (MDO) problems. Its core aim is to enhance the overall convergence of the system by reducing ...
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    Improved Augmented Lagrangian Relaxation-Assisted Analytical Target Cascading for Multidisciplinary Design Optimization 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 008:;page 81701-1
    Author(s): Zhou, Xiaowei; Li, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Analytical target cascading (ATC) is an optimization strategy designed for multilevel and multidisciplinary design optimization (MDO) problems. Its core aim is to enhance the overall convergence of the system by reducing ...
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    Enhanced Nonhierarchical Analytical Target Cascading Decomposition for Multidisciplinary Design Optimization Integrating Global Sensitivity Analysis and K-Means Clustering 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:003:;page 51
    Author(s): Zhou, Xiaowei; Li, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Multidisciplinary design optimization (MDO) is devoted to address the coupled problems among different disciplines in a complex system. Analytical target cascading (ATC) is a distributed algorithm within ...
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    Short-Term Passenger Flow Prediction of Urban Rail Transit Integrating Multiple Features: A Hybrid Model with Two-Stage Feature Selection 

    Source: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 006:;page 04026027-1
    Author(s): Lai, Yuanwen; Zhang, Jiakun; Zhou, Xiaowei; Xu, Ling; Lan, Ziye; M. Easa, Said; Wang, Shuyi
    Publisher: American Society of Civil Engineers
    Abstract: AbstractUrban rail transit systems encounter challenges in short-term passenger flow prediction due to complex spatiotemporal data and dynamic travel patterns. Traditional models often struggle to capture these complexities. ...
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    Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid Uncertainties 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 010:;page 101001-1
    Author(s): Li, Wei; Zhou, Xiaowei; Huang, Haihong; Garg, Akhil; Gao, Liang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The design of complex systems often requires the incorporation of uncertainty optimization strategies to mitigate system failures resulting from multiple uncertainties during actual operation. Risk-based design optimization, ...
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