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Showing 21 - 40 results of 13,261 for search '(((( algorithm used function ) OR ( algorithm steps function ))) OR ( algorithm python function ))*', query time: 1.24s Refine Results
  1. 21
    Visualization of the RITSS algorithm.

    Visualization of the RITSS algorithm. by Julian Hecker (758791)

    Published 2022
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  2. 22
    Matlab code of a function used in S2 File.

    Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

    Published 2024
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  3. 23
    Python-based Monte Carlo Simulation Tool

    Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

    Published 2024
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  4. 24
    Comparison of algorithm search curves.

    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…Then, combining with the idea of fast density clustering algorithm, the number of hidden layer neurons of RBF is determined by finding the point with the highest density and using it as the hidden layer neuron. …”
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  5. 25
    The target gravitational function and the repulsion function are added.

    The target gravitational function and the repulsion function are added. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  6. 26
    Generating the PSC kernel using a double exponential function.

    Generating the PSC kernel using a double exponential function. by Alireza Ghadimi (13839874)

    Published 2022
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  7. 27
    Schematic diagram of dynamic step size expansion.

    Schematic diagram of dynamic step size expansion. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  8. 28
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  9. 29
    Available functions in the utility package.

    Available functions in the utility package. by Raul Castañeda (13932971)

    Published 2022
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  10. 30
    Limitation of the conventional DBT reconstruction algorithm.

    Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

    Published 2022
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  11. 31
    Flowchart of the specific incarnation of the BO algorithm used in the experiments.

    Flowchart of the specific incarnation of the BO algorithm used in the experiments. by Lisa Laux (9367681)

    Published 2020
    “…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”
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  12. 32
    Available functions in the phase-shifting package.

    Available functions in the phase-shifting package. by Raul Castañeda (13932971)

    Published 2022
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  13. 33
    Available functions in the numerical propagation package.

    Available functions in the numerical propagation package. by Raul Castañeda (13932971)

    Published 2022
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  14. 34
    Available functions in the phase reconstruction package.

    Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

    Published 2022
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  15. 35
    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

    Published 2025
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  16. 36
    Penalty functions used in different methods.

    Penalty functions used in different methods. by Souvik Seal (12437166)

    Published 2023
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  17. 37
    Comparison of step size 0.1 with the actual energy consumption step count.

    Comparison of step size 0.1 with the actual energy consumption step count. by Zhiqun Lin (1429501)

    Published 2023
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  18. 38
    Summary of classical and CEC-based benchmark test functions used in this study.

    Summary of classical and CEC-based benchmark test functions used in this study. by Mahmood A. Jumaah (22272371)

    Published 2025
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  19. 39
    Swarm intelligence algorithms for multi-objective IMP: Step-by-step improvement

    Swarm intelligence algorithms for multi-objective IMP: Step-by-step improvement by Francisco Muñoz (9455441)

    Published 2022
    “…Algorithms implemented on article "<b>A step-by-step solution for the multi-objective influence spread problem</b>". …”
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  20. 40
    Fitness function parameters.

    Fitness function parameters. by Ankita Sharma (3183054)

    Published 2024
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