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Showing 1 - 20 results of 4,334 for search '(( algorithm achieves functions ) OR ( algorithm using function ))', query time: 0.48s Refine Results
  1. 1
    Benchmark test functions.

    Benchmark test functions. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  2. 2
    Algorithm parameters.

    Algorithm parameters. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  3. 3
    High-dimensional benchmark test functions.

    High-dimensional benchmark test functions. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  4. 4
    Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.

    Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

    Published 2024
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  5. 5
    Test function results.

    Test function results. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  6. 6
    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).

    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05). by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  7. 7
    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).

    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05). by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  8. 8
    Benchmark test function results.

    Benchmark test function results. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  9. 9
    Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms.

    Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20... by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  10. 10
    CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20.

    CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  11. 11
    CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Usage during the Execution of Benchmark Functions F41-F50.

    CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  12. 12
    Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F31-F40 and (c) Convergence curves of the average best fitness for functions F41-F50.

    Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  13. 13
    DE algorithm flow.

    DE algorithm flow. by Ling Zhao (111365)

    Published 2025
    “…The model characterizes room functions and spatial locations through binary coding, and uses dynamic fitness function and backtracking strategy to improve space utilization and functional fitness. …”
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  14. 14
    Summary of classical and CEC-based benchmark test functions used in this study.

    Summary of classical and CEC-based benchmark test functions used in this study. by Mahmood A. Jumaah (22272371)

    Published 2025
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  15. 15
    Pseudo-code of MWOA algorithm.

    Pseudo-code of MWOA algorithm. by Yi-Qiang Xia (20161326)

    Published 2024
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  16. 16
    Framework of the proposed algorithm.

    Framework of the proposed algorithm. by Jia Li (160557)

    Published 2025
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  17. 17
    Test results of different algorithms.

    Test results of different algorithms. by Ling Zhao (111365)

    Published 2025
    “…The model characterizes room functions and spatial locations through binary coding, and uses dynamic fitness function and backtracking strategy to improve space utilization and functional fitness. …”
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  18. 18
    Test function evolution curve.

    Test function evolution curve. by Minan Tang (20389941)

    Published 2024
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  19. 19
    CEC2017 basic functions.

    CEC2017 basic functions. by Tengfei Ma (597633)

    Published 2025
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  20. 20
    Description of unimodal benchmark functions.

    Description of unimodal benchmark functions. by Yi-Qiang Xia (20161326)

    Published 2024
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