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Showing 61 - 80 results of 2,748 for search '(((( algorithm l function ) OR ( algorithm phase functions ))) OR ( algorithm python function ))', query time: 0.49s Refine Results
  1. 61
    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.

    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

    Published 2023
    “…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”
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  2. 62
    Different phases of HHO (Heidari et al.[16]).

    Different phases of HHO (Heidari et al.[16]). by Ting Yang (189879)

    Published 2023
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  3. 63
    TV-BayesOpt algorithm performance for tracking a gradual drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.

    TV-BayesOpt algorithm performance for tracking a gradual drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by John E. Fleming (8533956)

    Published 2023
    “…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”
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  4. 64
    TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.

    TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by John E. Fleming (8533956)

    Published 2023
    “…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”
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  5. 65
    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. 66
    Sensitivity of the system with respect to variation of l 2% of the functions .

    Sensitivity of the system with respect to variation of l 2% of the functions . by Mario Saviano (17389551)

    Published 2023
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  7. 67
    Box plots of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022 functions (dim = 20).

    Box plots of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022 functions (dim = 20). by Qingwen Meng (156386)

    Published 2025
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  8. 68
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  9. 69
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  10. 70
    Rastrigin function.

    Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  11. 71
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  12. 72
    Rastrigin function.

    Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  13. 73
    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  14. 74
    Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  15. 75
    The parameters of the algorithms.

    The parameters of the algorithms. by Yu Li (183836)

    Published 2022
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  16. 76
    Reconstructed images using <i>ℓ</i><sub>2</sub> and <i>ℓ</i><sub>2</sub>-smth algorithms for the first study case.

    Reconstructed images using <i>ℓ</i><sub>2</sub> and <i>ℓ</i><sub>2</sub>-smth algorithms for the first study case. by Mona Selim (12969227)

    Published 2022
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  17. 77
    The phases of automated BHV monitoring.

    The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

    Published 2019
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  18. 78
    Convergence curves of total fuel cost minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of total fuel cost minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  19. 79
    Sub-network model structure in the LMPEC algorithm.

    Sub-network model structure in the LMPEC algorithm. by Hao Wu (65943)

    Published 2024
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  20. 80
    Summary statistics for the values of objective function—Phase I.

    Summary statistics for the values of objective function—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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