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Showing 1 - 20 results of 58 for search '(( less based property optimization algorithm ) OR ( binary based codon optimization algorithm ))*', query time: 0.42s Refine Results
  1. 1
    APL, ACC and ACC /APL of the optimal benchmark networks with different mixing parameter.

    APL, ACC and ACC /APL of the optimal benchmark networks with different mixing parameter. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  2. 2
    The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions.

    The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  3. 3
    The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions.

    The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  4. 4
    APL, ACC and ACC /APL of the optimal networks with different goals and number of added edges.

    APL, ACC and ACC /APL of the optimal networks with different goals and number of added edges. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  5. 5
    Percentage of edges added within the same community in the optimal benchmark networks with different mixing parameter and goals.

    Percentage of edges added within the same community in the optimal benchmark networks with different mixing parameter and goals. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  6. 6
    General procedural flow of clustering algorithm.

    General procedural flow of clustering algorithm. by Sandeep Yerrathi (17775761)

    Published 2024
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  7. 7
    Computational complexity comparison with state-of-art-algorithms.

    Computational complexity comparison with state-of-art-algorithms. by Sandeep Yerrathi (17775761)

    Published 2024
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  8. 8
    Simulation parameters set analogously for all of the algorithms.

    Simulation parameters set analogously for all of the algorithms. by Sandeep Yerrathi (17775761)

    Published 2024
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  9. 9
    Optimal cluster head approach.

    Optimal cluster head approach. by Sandeep Yerrathi (17775761)

    Published 2024
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  10. 10
    Optimal cluster formation approach.

    Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

    Published 2024
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  11. 11
    Illustration of crossover.

    Illustration of crossover. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  12. 12
    The mean value of the maximum ACC for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II.

    The mean value of the maximum ACC for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  13. 13
    S1 Dataset -

    S1 Dataset - by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  14. 14
    The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network.

    The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  15. 15
    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II.

    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  16. 16
    Statistical tests of ACC on the random network.

    Statistical tests of ACC on the random network. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  17. 17
    Parameters in the experiment.

    Parameters in the experiment. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  18. 18
    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> and different crossover probability <i>P</i><sub><i>c</i></sub> for 10 runs acquired by MOEA/D-SW on the regular network.

    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> and different crossover probability <i>P</i><sub><i>c</i></sub> for 10 runs acquired by MOEA/D-SW on t... by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  19. 19
    Statistical tests of APL on the random network.

    Statistical tests of APL on the random network. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  20. 20
    The mean value of the minimum APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II.

    The mean value of the minimum APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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