Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
value function » rate function (Expand Search), wave function (Expand Search)
algorithm sine » algorithm using (Expand Search), algorithms using (Expand Search), algorithm i (Expand Search)
sine function » gene function (Expand Search), rate function (Expand Search), wave function (Expand Search)
Showing 81 - 100 results of 5,167 for search '(((( algorithm value function ) OR ( algorithm sine function ))) OR ( algorithm python function ))', query time: 0.70s Refine Results
  1. 81
    <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
    “…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”
    Save to List
    Saved in:
  2. 82
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
    Save to List
    Saved in:
  3. 83
    Algorithm comparison results of welded beam design problem.

    Algorithm comparison results of welded beam design problem. by Yu-Jun Zhang (185411)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  4. 84
    Algorithm comparison results of compression spring design problem.

    Algorithm comparison results of compression spring design problem. by Yu-Jun Zhang (185411)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  5. 85
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
    Save to List
    Saved in:
  6. 86
    Objective function values of different algorithms on individual problem instances.

    Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

    Published 2025
    “…<p>Objective function values of different algorithms on individual problem instances.…”
    Save to List
    Saved in:
  7. 87
    Loss function values of target detection algorithms during training.

    Loss function values of target detection algorithms during training. by Guodong Su (7876934)

    Published 2024
    “…<p>Loss function values of target detection algorithms during training.…”
    Save to List
    Saved in:
  8. 88
    Sensor value scenario for average value algorithm.

    Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

    Published 2025
    Save to List
    Saved in:
  9. 89
    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
    Save to List
    Saved in:
  10. 90
    Performance profile of the four algorithms based on the function value of iteration number.

    Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

    Published 2025
    “…<p>Performance profile of the four algorithms based on the function value of iteration number.…”
    Save to List
    Saved in:
  11. 91
    GD and IGD values of the traditional NSGA-II algorithm.

    GD and IGD values of the traditional NSGA-II algorithm. by Ying Wang (11406)

    Published 2024
    Save to List
    Saved in:
  12. 92
    GD and IGD values of the improved NSGA-II algorithm.

    GD and IGD values of the improved NSGA-II algorithm. by Ying Wang (11406)

    Published 2024
    Save to List
    Saved in:
  13. 93
    Algorithm Parameter Setting.

    Algorithm Parameter Setting. by Tong Zhou (3770)

    Published 2025
    “…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …”
    Save to List
    Saved in:
  14. 94
    Objective function values of each algorithm for solving large-scale problems.

    Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

    Published 2023
    “…<p>Objective function values of each algorithm for solving large-scale problems.…”
    Save to List
    Saved in:
  15. 95
    Values of the fitness function for different algorithms run on various companies’ datasets.

    Values of the fitness function for different algorithms run on various companies’ datasets. by Bitanu Chatterjee (15295261)

    Published 2023
    “…<p>Values of the fitness function for different algorithms run on various companies’ datasets.…”
    Save to List
    Saved in:
  16. 96
    IGD values of different algorithms under different standard test functions.

    IGD values of different algorithms under different standard test functions. by Jun Sun (48981)

    Published 2023
    “…<p>IGD values of different algorithms under different standard test functions.…”
    Save to List
    Saved in:
  17. 97
    Critical values of membership functions learned from the study cohort by the algorithm.

    Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

    Published 2023
    Save to List
    Saved in:
  18. 98
    The obtained cost function values with respect to each run of different algorithms.

    The obtained cost function values with respect to each run of different algorithms. by Davut Izci (15927452)

    Published 2023
    “…<p>The obtained cost function values with respect to each run of different algorithms.…”
    Save to List
    Saved in:
  19. 99
    Wilcoxon rank-sum test results over all runs.

    Wilcoxon rank-sum test results over all runs. by Muhammad Zubair Rehman (11243478)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  20. 100
    Some of the major contributions on SCA since its inception.

    Some of the major contributions on SCA since its inception. by Muhammad Zubair Rehman (11243478)

    Published 2021
    Subjects:
    Save to List
    Saved in:

Search Tools: