Showing 1 - 20 results of 28 for search '(( final phase global optimization algorithm ) OR ( binary whole process optimization algorithm ))', query time: 0.35s Refine Results
  1. 1

    WSN optimized by different algorithms. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  2. 2
  3. 3

    Flow chart of density peak clustering algorithm. by Ning Zhao (84707)

    Published 2024
    “…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
  4. 4

    Compare algorithm parameter settings. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  5. 5

    Results of ablation experiment. by Ning Zhao (84707)

    Published 2024
    “…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
  6. 6

    Model frame drawing. by Ning Zhao (84707)

    Published 2024
    “…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
  7. 7

    Training process. by Ning Zhao (84707)

    Published 2024
    “…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
  8. 8

    Data set parameters. by Ning Zhao (84707)

    Published 2024
    “…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
  9. 9

    Weighted covariance matrix based GEDM model. by Ning Zhao (84707)

    Published 2024
    “…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
  10. 10

    Schematic representation of Cantilever beam. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  11. 11

    The sensing area of sensor in terms of square. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  12. 12

    WSN convergence curve. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  13. 13

    Ranking distribution statistics. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  14. 14

    -value on CEC2017 (dim = 100). by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  15. 15

    Three bar truss structure. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  16. 16

    Sensor node perception framework. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  17. 17

    Experimental results of cantilever beam design. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  18. 18

    -value on CEC2017 (dim = 30). by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  19. 19

    Statistics of WSN experiment results. by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”
  20. 20

    -value on CEC2022 (dim = 20). by Qingwen Meng (156386)

    Published 2025
    “…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. …”