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Showing 21 - 40 results of 13,389 for search '(((( algorithm shows function ) OR ( algorithm based function ))) OR ( algorithm python function ))', query time: 0.75s Refine Results
  1. 21
    Flow chart of this algorithm.

    Flow chart of this algorithm. by Xuan Chen (158617)

    Published 2021
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  2. 22
    Route for bays29 output by ABSQL algorithm.

    Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
    “…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”
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  3. 23
    Simulation parameters for the QL, ABSQL and DSRABSQL algorithms.

    Simulation parameters for the QL, ABSQL and DSRABSQL algorithms. by Jin Zhang (53297)

    Published 2023
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  4. 24
    The used test functions in the evaluation.

    The used test functions in the evaluation. by Xuan Chen (158617)

    Published 2021
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  5. 25
    Algorithm flow of the CNN + LSTM model.

    Algorithm flow of the CNN + LSTM model. by Zhongzhong Guo (12133402)

    Published 2022
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  6. 26
    CEC2014 functions.

    CEC2014 functions. by Adel Saad Assiri (9962517)

    Published 2021
    Subjects: “…Butterfly Optimization Algorithm…”
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  7. 27
    Statistical metrics of objective function for DFIG-based wind turbine system.

    Statistical metrics of objective function for DFIG-based wind turbine system. by Davut Izci (15927452)

    Published 2023
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  8. 28
    Search Algorithms and Loss Functions for Bayesian Clustering

    Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

    Published 2022
    “…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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  9. 29
    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer

    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
    “…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”
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  10. 30
    The pseudocode for the NAFPSO algorithm.

    The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

    Published 2025
    “…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”
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  11. 31
    PSO algorithm flowchart.

    PSO algorithm flowchart. by Huichao Guo (14515171)

    Published 2025
    “…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”
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  12. 32
    The optimal route of Berlin52 output by DSRABSQL algorithm.

    The optimal route of Berlin52 output by DSRABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  13. 33
    The optimal route of Tsp225 output by DSRABSQL algorithm.

    The optimal route of Tsp225 output by DSRABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  14. 34
    The optimal route of Berlin52 output by ABSQL algorithm.

    The optimal route of Berlin52 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  15. 35
    The optimal route of Tsp225 output by ABSQL algorithm.

    The optimal route of Tsp225 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  16. 36
    Main parameters of the 7 algorithms.

    Main parameters of the 7 algorithms. by Xuan Chen (158617)

    Published 2021
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  17. 37
    Benchmarking functions.

    Benchmarking functions. by Guilin Yang (583364)

    Published 2024
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  18. 38
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  19. 39
    Compare the test functions.

    Compare the test functions. by Yanqiu Li (683621)

    Published 2024
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  20. 40
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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