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Showing 1 - 20 results of 5,167 for search '(((( algorithm value function ) OR ( algorithm sine function ))) OR ( algorithm python function ))', query time: 0.47s Refine Results
  1. 1
    Average mean values by algorithms on benchmark functions.

    Average mean values by algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

    Published 2021
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  2. 2
    Initialization parameter values for the comparison algorithms.

    Initialization parameter values for the comparison algorithms. by Muhammad Zubair Rehman (11243478)

    Published 2021
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  3. 3
    The results of 12 benchmarking functions of the maximum fitness function values.

    The results of 12 benchmarking functions of the maximum fitness function values. by Chuang Zhang (2199421)

    Published 2023
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  4. 4
    The results of 12 benchmarking functions of the best (minimum) fitness function values.

    The results of 12 benchmarking functions of the best (minimum) fitness function values. by Chuang Zhang (2199421)

    Published 2023
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  5. 5
    The results of 12 benchmarking functions in terms of the average fitness function values.

    The results of 12 benchmarking functions in terms of the average fitness function values. by Chuang Zhang (2199421)

    Published 2023
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  6. 6
    The optimization result of 10 benchmark functions for different algorithms (D = 10).

    The optimization result of 10 benchmark functions for different algorithms (D = 10). by Yu Li (183836)

    Published 2021
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  7. 7
    The optimization result of 10 benchmark functions for different algorithms (D = 30).

    The optimization result of 10 benchmark functions for different algorithms (D = 30). by Yu Li (183836)

    Published 2021
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  8. 8
    The result of CEC2010 standard functions for different algorithms (D = 30).

    The result of CEC2010 standard functions for different algorithms (D = 30). by Yu Li (183836)

    Published 2021
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  9. 9
    The optimization result of 10 benchmark functions for different algorithms (D = 100).

    The optimization result of 10 benchmark functions for different algorithms (D = 100). by Yu Li (183836)

    Published 2021
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  10. 10
    The convergence curves of the function in different dimensions.

    The convergence curves of the function in different dimensions. by Yu Li (183836)

    Published 2021
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  11. 11
    Comparison of algorithms in two cases.

    Comparison of algorithms in two cases. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 12
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 13
    The results of the tested methods on 12 benchmarking functions of the STD values.

    The results of the tested methods on 12 benchmarking functions of the STD values. by Chuang Zhang (2199421)

    Published 2023
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  14. 14
    Convergence curves of multimodal functions <i>f</i><sub>7</sub>.

    Convergence curves of multimodal functions <i>f</i><sub>7</sub>. by Yu Li (183836)

    Published 2021
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  15. 15
    Convergence curves of unimodal functions <i>f</i><sub>2</sub>.

    Convergence curves of unimodal functions <i>f</i><sub>2</sub>. by Yu Li (183836)

    Published 2021
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  16. 16
    Convergence curves of unimodal functions <i>f</i><sub>2</sub>.

    Convergence curves of unimodal functions <i>f</i><sub>2</sub>. by Yu Li (183836)

    Published 2021
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  17. 17
    Convergence curves of multimodal functions <i>f</i><sub>7</sub>.

    Convergence curves of multimodal functions <i>f</i><sub>7</sub>. by Yu Li (183836)

    Published 2021
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  18. 18
    The optimal solution set of NYN by using different algorithms.

    The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  19. 19
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  20. 20
    Convergence curve of functions <i>f</i><sub><i>1</i></sub><i>-f</i><sub><i>10</i></sub> in D = 10.

    Convergence curve of functions <i>f</i><sub><i>1</i></sub><i>-f</i><sub><i>10</i></sub> in D = 10. by Yu Li (183836)

    Published 2021
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