Výsledky vyhledávání - "Adaptive mutation particle swarm algorithm"

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  1. 1

    Adaptive mutation particle swarm algorithm with dynamic nonlinear changed inertia weight Autor Liang, H.T., Kang, F.H.

    ISSN: 0030-4026, 1618-1336
    Vydáno: Elsevier GmbH 01.10.2016
    Vydáno v Optik (Stuttgart) (01.10.2016)
    “…A novel adaptive mutation particle swarm optimization algorithm with dynamic nonlinear changed inertia weight (AMPSO) was presented to accelerate searching…”
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  2. 2

    Research on comprehensive recovery of liner schedule and container flow with hard time windows constraints Autor Liu, Yibo, Zhao, Xu, Huang, Rui

    ISSN: 0964-5691, 1873-524X
    Vydáno: England Elsevier Ltd 01.06.2022
    Vydáno v Ocean & coastal management (01.06.2022)
    “…COVID-19 has had a huge impact on the global container market. Many liner companies have adopted a blank sailing for some voyages to adjust capacity, and…”
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  3. 3

    A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks Autor Ma, Dazhong, Wang, Junda, Sun, Qiuye, Hu, Xuguang

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2019
    Vydáno v IEEE access (2019)
    “… During the process, the varied BLS models result in indeterminate performance and fast ergodic structure search is executed via adaptive mutation particle swarm algorithm (APSO…”
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  4. 4

    Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint Autor Yue, Yuanlong, Liu, Zhixiang, Zuo, Xin

    ISSN: 2227-9717, 2227-9717
    Vydáno: Basel MDPI AG 01.11.2021
    Vydáno v Processes (01.11.2021)
    “…The subsea production control system, characterized by a complex and diverse structure and high cost, is one of the essential parts of a subsea production…”
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  5. 5

    Application of PSO Improved Algorithm in Motor Fault Diagnosis Simulation Autor Shan, Yingjie

    ISSN: 1530-8669, 1530-8677
    Vydáno: Oxford Hindawi 2022
    “… The method optimizes the fault diagnosis method of BP neural network by adopting the adaptive mutation particle swarm algorithm…”
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  6. 6

    Scale-Based product family optimization design based on the improved AMPSO in selecting optimum strategy Autor Wei, Wei, Wang, Pingyuan

    ISSN: 0736-5845, 1879-2537
    Vydáno: Oxford Elsevier Ltd 01.06.2019
    “…•By using the improved adaptive mutation particle swarm algorithm, the parallel optimization was carried out for the scale-based product family design problem to obtain a series of solutions…”
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