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Showing 1 - 20 results of 87 for search '(( less based property optimization algorithm ) OR ( binary based cell optimization algorithm ))', query time: 0.50s Refine Results
  1. 1
    Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX

    Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... by Yangyang Liu (807797)

    Published 2022
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  2. 2
    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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  3. 3
    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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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    General procedural flow of clustering algorithm.

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

    Published 2024
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  8. 8
    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

    Published 2025
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  9. 9
    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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  10. 10
    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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  11. 11
    A* Path-Finding Algorithm to Determine Cell Connections

    A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

    Published 2025
    “…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …”
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  12. 12
    Optimal cluster head approach.

    Optimal cluster head approach. by Sandeep Yerrathi (17775761)

    Published 2024
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  13. 13
    Optimal cluster formation approach.

    Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

    Published 2024
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  14. 14
    Illustration of crossover.

    Illustration of crossover. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  15. 15
    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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  16. 16
    S1 Dataset -

    S1 Dataset - by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    Parameters in the experiment.

    Parameters in the experiment. by Ruochen Zhang (3434996)

    Published 2024
    Subjects: “…multiobjective evolutionary algorithm…”
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