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Showing 121 - 140 results of 1,206 for search '(((( algorithm phase function ) OR ( algorithm npc function ))) OR ( algorithm python function ))', query time: 0.29s Refine Results
  1. 121
    Summary statistics for the values of objective function on real-world dataset—Phase I.

    Summary statistics for the values of objective function on real-world dataset—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  2. 122
    Summary statistics for the number of function evaluations on real-world dataset—Phase III.

    Summary statistics for the number of function evaluations on real-world dataset—Phase III. by Fadi K. Dib (5204807)

    Published 2023
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  3. 123
    TV-BayesOpt algorithm performance for tracking a superimposed (gradual and periodic) drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.

    TV-BayesOpt algorithm performance for tracking a superimposed (gradual and 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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  4. 124
    Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 30D.

    Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 30D. by Xuxu Zhong (10099054)

    Published 2021
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  5. 125
    Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 100D.

    Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 100D. by Xuxu Zhong (10099054)

    Published 2021
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  6. 126
    Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 50D.

    Mean and STD obtained by eight enhanced DEs and DEGH on benchmark functions at 50D. by Xuxu Zhong (10099054)

    Published 2021
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  7. 127
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 128
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 129
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 130
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 131
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 132
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 133
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 134
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  15. 135
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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  16. 136
    A bar chart for the values of objective function on real-world dataset—Phase I.

    A bar chart for the values of objective function on real-world dataset—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  17. 137
    A bar chart for the values of objective function on real-world dataset—Phase II.

    A bar chart for the values of objective function on real-world dataset—Phase II. by Fadi K. Dib (5204807)

    Published 2023
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  18. 138
    A bar chart for the number of function evaluations on real-world dataset—Phase III.

    A bar chart for the number of function evaluations on real-world dataset—Phase III. by Fadi K. Dib (5204807)

    Published 2023
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  19. 139
    A bar chart for the number of function evaluations on real-world dataset—Phase I.

    A bar chart for the number of function evaluations on real-world dataset—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  20. 140
    Flowchart outlining the spectral analysis reconstruction algorithm for quantitative phase imaging using non-telecentric DHM systems.

    Flowchart outlining the spectral analysis reconstruction algorithm for quantitative phase imaging using non-telecentric DHM systems. by Brian Bogue-Jimenez (16954568)

    Published 2023
    Subjects: “…developed computational algorithm…”
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