Search alternatives:
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
primary data » primary care (Expand Search)
binary edge » binary image (Expand Search)
edge policy » sdgs policy (Expand Search), media policy (Expand Search), leave policy (Expand Search)
Showing 1 - 20 results of 523 for search '(( primary data _ optimization algorithm ) OR ( binary edge policy optimization algorithm ))', query time: 0.55s Refine Results
  1. 1
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    The parameter settings of the RF algorithm after parameter optimization.

    The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

    Published 2025
    Save to List
    Saved in:
  4. 4
    Iterative optimization convergence curve of each algorithm.

    Iterative optimization convergence curve of each algorithm. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  5. 5
    Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.

    Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.

    Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Features selected by optimization algorithms.

    Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
    Save to List
    Saved in:
  8. 8
    The optimization results of each algorithm for the 8 benchmark functions.

    The optimization results of each algorithm for the 8 benchmark functions. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  9. 9
    The convergence curve of each optimization algorithm under the test function.

    The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

    Published 2025
    Save to List
    Saved in:
  10. 10
    S1 Data -

    S1 Data - by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
    Save to List
    Saved in:
  11. 11
    Optimal results of the different algorithms on the speed design reducer problem.

    Optimal results of the different algorithms on the speed design reducer problem. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  12. 12
    Optimal results of the different algorithms on the pressure vessel design problem.

    Optimal results of the different algorithms on the pressure vessel design problem. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  13. 13
    Optimal results of the different algorithms on the gear train design problem.

    Optimal results of the different algorithms on the gear train design problem. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  14. 14
    The optimization results of each algorithm for the CEC2019 benchmark functions.

    The optimization results of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  15. 15
    Parameter settings for algorithms.

    Parameter settings for algorithms. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
    Save to List
    Saved in:
  16. 16
    Parameter settings for algorithms.

    Parameter settings for algorithms. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
    Save to List
    Saved in:
  17. 17
    Optimal results of the different algorithms on the tension/compression spring design problem.

    Optimal results of the different algorithms on the tension/compression spring design problem. by Guangwei Liu (181992)

    Published 2023
    Save to List
    Saved in:
  18. 18
    Average runtime of different algorithms.

    Average runtime of different algorithms. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
    Save to List
    Saved in:
  19. 19
    Average runtime of different algorithms.

    Average runtime of different algorithms. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
    Save to List
    Saved in:
  20. 20
    Flowchart of GJO-GWO algorithm.

    Flowchart of GJO-GWO algorithm. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
    Save to List
    Saved in:

Search Tools: