Showing 1 - 20 results of 663 for search '(( binary core design optimization algorithm ) OR ( final model design optimization algorithm ))', query time: 0.41s Refine Results
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    Flow chart of INFO algorithm. by Qiongfang Zhang (18055134)

    Published 2025
    “…By establishing the INFO-KELM optimization model, the final optimized structure is obtained. …”
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    Optimization results of different algorithms. by Haijian Wang (746739)

    Published 2024
    “…<div><p>An Aquila optimizer-back propagation (AO-BP) neural network was used to establish an approximate model of the relationship between the design variables and the optimization objective to improve elevator block brake capabilities and achieve a lightweight brake design. …”
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    Design variables. by Qiongfang Zhang (18055134)

    Published 2025
    “…By establishing the INFO-KELM optimization model, the final optimized structure is obtained. …”
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    Optimization flow chart of the AO algorithm. by Haijian Wang (746739)

    Published 2024
    “…<div><p>An Aquila optimizer-back propagation (AO-BP) neural network was used to establish an approximate model of the relationship between the design variables and the optimization objective to improve elevator block brake capabilities and achieve a lightweight brake design. …”
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    Design parameters of proposed HMMS. by Qiongfang Zhang (18055134)

    Published 2025
    “…By establishing the INFO-KELM optimization model, the final optimized structure is obtained. …”
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    Final delivery routes of vehicle-assisted UAVs. by Yingbo Mao (22522192)

    Published 2025
    “…Against this backdrop, the vehicle-assisted UAV collaborative delivery model has emerged: through the division of labor and collaboration between ground vehicles and UAVs, it not only expands the service radius of UAVs but also overcomes the constraints of no-fly zones, achieving dual improvements in delivery efficiency and service quality.This study focuses on the optimization of vehicle-assisted UAV delivery paths under no-fly zone constraints, aiming to construct a multi-objective optimization model that balances delivery costs, carbon emissions, and customer satisfaction, and to design an efficient solution algorithm for providing scientific decision support to logistics enterprises. …”
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