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Showing 121 - 140 results of 376 for search '(( lines based models optimization algorithm ) OR ( binary basic robust estimation algorithm ))', query time: 0.98s Refine Results
  1. 121
    MOR’s train diagram.

    MOR’s train diagram. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  2. 122
    Mean load factor of section.

    Mean load factor of section. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  3. 123
    Train operation plan when <i>z</i>=0.

    Train operation plan when <i>z</i>=0. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  4. 124
    Minimum turn-back time of turn-back stations.

    Minimum turn-back time of turn-back stations. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  5. 125
    Maximum allowable number of routes analysis.

    Maximum allowable number of routes analysis. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  6. 126
    Adjustment results of weight factors.

    Adjustment results of weight factors. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  7. 127
    Systematic model of fog-cloud COVID prediction.

    Systematic model of fog-cloud COVID prediction. by Shanthi Amgothu (17692146)

    Published 2023
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  8. 128
    Transient Simulation Performance at 800<i>W</i>/<i>m</i><sup>2</sup> and 400<i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm.

    Transient Simulation Performance at 800<i>W</i>/<i>m</i><sup>2</sup> and 400<i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm. by Rana Ahmed (4923127)

    Published 2024
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  9. 129
    Model convergence to steady state.

    Model convergence to steady state. by Dmitrii Smirnov (8822324)

    Published 2020
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  10. 130
    Proposed deep learning model.

    Proposed deep learning model. by Rana Ahmed (4923127)

    Published 2024
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  11. 131
    Comparison of presented algorithm precision to Bot et al.

    Comparison of presented algorithm precision to Bot et al. by Dmitrii Smirnov (8822324)

    Published 2020
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  12. 132
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom. by Masashi Yagi (3186909)

    Published 2023
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  13. 133
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

    Published 2023
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  14. 134
    The stability factor of the optimized PA.

    The stability factor of the optimized PA. by Mohammad Soruri (15419087)

    Published 2023
    “…The widths and lengths of the microstrip lines in the input and output matching networks are defined as the parameters that the Hidden Markov Model should optimize. …”
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  15. 135
    PSO algorithms flowchart.

    PSO algorithms flowchart. by Mohammed F. Elnaggar (18297954)

    Published 2024
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  16. 136
    <i>Patient 8</i> GA output model.

    <i>Patient 8</i> GA output model. by Dmitrii Smirnov (8822324)

    Published 2020
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  17. 137
    Optimization traces for six datasets and four NMTF optimization methods.

    Optimization traces for six datasets and four NMTF optimization methods. by Andrej Čopar (6824375)

    Published 2019
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  18. 138
    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.

    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

    Published 2024
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  19. 139
    Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach

    Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach by Mengyi Zhang (7454231)

    Published 2021
    “…The algorithm iterates between a simulation module that generates the Benders cuts and an optimization module that involves the solution of an updated MILP model. …”
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  20. 140
    Swarm intelligence algorithms for multi-objective IMP

    Swarm intelligence algorithms for multi-objective IMP by Francisco Muñoz (9455441)

    Published 2020
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