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Showing 121 - 140 results of 5,130 for search '(((( algorithm value function ) OR ( algorithm t4p function ))) OR ( algorithm python function ))*', query time: 0.89s Refine Results
  1. 121
    The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.

    The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

    Published 2025
    “…<p>The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.…”
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  2. 122
    Objective function values and CPU times of the considered solution approaches.

    Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)

    Published 2024
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  3. 123
    Objective function values and CPU times of the considered solution approaches.

    Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)

    Published 2024
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  4. 124
    Improve the weight coefficient of DWA evaluation function.

    Improve the weight coefficient of DWA evaluation function. by Peiying Li (797714)

    Published 2024
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  5. 125
    Comparison of benchmark function results between traditional algorithms with 60 dimensions.

    Comparison of benchmark function results between traditional algorithms with 60 dimensions. by Xiaoyi Zhang (577299)

    Published 2023
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  6. 126
    23 benchmark functions.

    23 benchmark functions. by Yu Liu (6938)

    Published 2025
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  7. 127
    RRMSE and SSIM values of reconstructed images by the proposed algorithms and the compared methods for the third study case.

    RRMSE and SSIM values of reconstructed images by the proposed algorithms and the compared methods for the third study case. by Mona Selim (12969227)

    Published 2022
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  8. 128
    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. 129
    Available functions in the utility package.

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

    Published 2022
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  10. 130
    Comparison of different objective function value curves.

    Comparison of different objective function value curves. by Wanjun Zhang (496858)

    Published 2025
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  11. 131
    Improved A* algorithm flowchart.

    Improved A* algorithm flowchart. by Peiying Li (797714)

    Published 2024
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  12. 132
    Water consumption due to average value and fuzzy logic algorithm.

    Water consumption due to average value and fuzzy logic algorithm. by Gourab Saha (8987405)

    Published 2025
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  13. 133
    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.

    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

    Published 2024
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  14. 134
    The effect of each parameter on the peak value.

    The effect of each parameter on the peak value. by Shangyang Jin (21772466)

    Published 2025
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  15. 135
    Function test results.

    Function test results. by Xiaowen Zhang (83669)

    Published 2023
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  16. 136
    APSO–CNN algorithm’s minimal fitness values modified over iterations.

    APSO–CNN algorithm’s minimal fitness values modified over iterations. by Ahmed Bahaa (12887063)

    Published 2022
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  17. 137
    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23.

    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. by Ying Li (38224)

    Published 2024
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  18. 138
    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13.

    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. by Ying Li (38224)

    Published 2024
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  19. 139
    APSO–WOA–CNN and FNN algorithms’ loss function validation sets.

    APSO–WOA–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

    Published 2022
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  20. 140
    APSO–WOA–CNN and FNN algorithms’ loss function training sets.

    APSO–WOA–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

    Published 2022
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