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Showing 1 - 20 results of 266 for search '(( primary case based optimization algorithm ) OR ( binary _ process optimization algorithm ))*', query time: 0.70s Refine Results
  1. 1
    Feature selection convergence time comparison of various binary metaheuristic algorithms.

    Feature selection convergence time comparison of various binary metaheuristic algorithms. by Amal H. Alharbi (21755906)

    Published 2025
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  2. 2
    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms.

    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

    Published 2023
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  3. 3
    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). …”
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  4. 4
    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). …”
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  5. 5
    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). …”
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  6. 6
    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). …”
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  7. 7
    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). …”
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  8. 8
    Case 2: PADR with load scheduling.

    Case 2: PADR with load scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  9. 9
    Case 1: PADR evaluation without scheduling.

    Case 1: PADR evaluation without scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  10. 10
    Case 2: Hourly scheduled load profile.

    Case 2: Hourly scheduled load profile. by Hisham Alghamdi (20114096)

    Published 2024
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  11. 11
    Case 1: Total electricity bill without scheduling.

    Case 1: Total electricity bill without scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  12. 12
    Case 2: Total electricity bill with load scheduling.

    Case 2: Total electricity bill with load scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  13. 13
    Case 2: Hourly electricity bill with load scheduling.

    Case 2: Hourly electricity bill with load scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  14. 14
    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. …”
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  15. 15
    Case 2: Consumer comfort in terms of waiting time with scheduling.

    Case 2: Consumer comfort in terms of waiting time with scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  16. 16
    Case 1: Hourly electricity bill minimization without scheduling.

    Case 1: Hourly electricity bill minimization without scheduling. by Hisham Alghamdi (20114096)

    Published 2024
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  17. 17
    The result of the accuracy of tested algorithms.

    The result of the accuracy of tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  18. 18
    Feature selection ratio results for tested algorithms.

    Feature selection ratio results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  19. 19
    Best fitness value results for tested algorithms.

    Best fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  20. 20
    Mean fitness value results for tested algorithms.

    Mean fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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