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Showing 61 - 80 results of 4,468 for search '(( algorithm python function ) OR ( algorithm ((using function) OR (time function)) ))', query time: 0.43s Refine Results
  1. 61
    Levy function losses for .

    Levy function losses for . by Shikun Chen (14625352)

    Published 2025
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  2. 62
    Levy function losses for .

    Levy function losses for . by Shikun Chen (14625352)

    Published 2025
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  3. 63
    Rastrigin function losses for .

    Rastrigin function losses for . by Shikun Chen (14625352)

    Published 2025
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  4. 64
    Rastrigin function losses for .

    Rastrigin function losses for . by Shikun Chen (14625352)

    Published 2025
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  5. 65
    Rosenbrock function losses for .

    Rosenbrock function losses for . by Shikun Chen (14625352)

    Published 2025
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  6. 66
    A Novel Drone Delivery Problem with Stochastic Arrival Time under Uncertain Wind Conditions for Last-mile Delivery Using Iterated Adaptive Tabu Search Algorithm

    A Novel Drone Delivery Problem with Stochastic Arrival Time under Uncertain Wind Conditions for Last-mile Delivery Using Iterated Adaptive Tabu Search Algorithm by Yuan Fang (20504030)

    Published 2025
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  7. 67
    A Novel Drone Delivery Problem with Stochastic Arrival Time under Uncertain Wind Conditions for Last-mile Delivery Using Iterated Adaptive Tabu Search Algorithm

    A Novel Drone Delivery Problem with Stochastic Arrival Time under Uncertain Wind Conditions for Last-mile Delivery Using Iterated Adaptive Tabu Search Algorithm by Authors (for anonymous review purpose) (6946952)

    Published 2025
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  8. 68
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
    “…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”
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  9. 69
    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart.

    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

    Published 2025
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  10. 70
    CEC2017 basic functions.

    CEC2017 basic functions. by Tengfei Ma (597633)

    Published 2025
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  11. 71
    Path length and planning time of map planning with different complexity.

    Path length and planning time of map planning with different complexity. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  12. 72
    Average function evaluation times of the three optimization algorithms.

    Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

    Published 2025
    “…<p>Average function evaluation times of the three optimization algorithms.…”
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  13. 73
    Membership function of output for tank 1.

    Membership function of output for tank 1. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  14. 74
    Membership function of output for tank 2.

    Membership function of output for tank 2. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  15. 75
    Differential gene analysis and functional enrichment of the GSE775 dataset over time using the ClusterGVis package.

    Differential gene analysis and functional enrichment of the GSE775 dataset over time using the ClusterGVis package. by Wenlong Kuang (20485167)

    Published 2024
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  16. 76
    The results of ICA performed using PyNoetic.

    The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  17. 77
    Convergence curve of IWOA-SMC-ALADRC fitness function.

    Convergence curve of IWOA-SMC-ALADRC fitness function. by Ziwei Wu (11386352)

    Published 2025
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  18. 78
    Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of (<i>u</i> columns) and of (<i>v</i> columns).

    Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of... by Jordan Moutet (21800145)

    Published 2025
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  19. 79
    Function testing and iterative variation diagram.

    Function testing and iterative variation diagram. by Yun Qi (560401)

    Published 2025
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  20. 80
    Optimization outcome for the Rosenbrock function.

    Optimization outcome for the Rosenbrock function. by Shikun Chen (14625352)

    Published 2025
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