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Showing 1 - 20 results of 191 for search '(( binary atp driven optimization algorithm ) OR ( lines used network optimization algorithm ))', query time: 0.53s Refine Results
  1. 1
    TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation.

    TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation. by Xiaorui Wu (8322705)

    Published 2024
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  2. 2
    Example of non-optimal behaviour of the Greedy algorithm.

    Example of non-optimal behaviour of the Greedy algorithm. by Henriette Heer (9541510)

    Published 2020
    “…(b) Network with two links selected using the Greedy algorithm and clustering coefficient . …”
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  3. 3
    Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network).

    Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network). by Abdullah Khan (377292)

    Published 2020
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  4. 4
    Performance of optimization algorithms in six different network types.

    Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  5. 5
    Contour lines of GDOP of five BSs using DBSS5.

    Contour lines of GDOP of five BSs using DBSS5. by Sheng Miao (14248110)

    Published 2022
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  6. 6
    Contour lines of GDOP of four BSs using DBSS4.

    Contour lines of GDOP of four BSs using DBSS4. by Sheng Miao (14248110)

    Published 2022
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  7. 7
    The comparison of different optimization models.

    The comparison of different optimization models. by Jiefei Zhang (8787494)

    Published 2023
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  8. 8
    Optimal schemes for different resource limitations.

    Optimal schemes for different resource limitations. by Jiefei Zhang (8787494)

    Published 2023
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  9. 9
    Representation of the integrated metro and bus network.

    Representation of the integrated metro and bus network. by Jiefei Zhang (8787494)

    Published 2023
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  10. 10
    Performance of optimization algorithms in an network of education organizations of ± 250 nodes.

    Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  11. 11
    Schematic of the disrupted network considered in the case study.

    Schematic of the disrupted network considered in the case study. by Jiefei Zhang (8787494)

    Published 2023
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  12. 12
    Schematic of the disrupted network considered in the case study.

    Schematic of the disrupted network considered in the case study. by Jiefei Zhang (8787494)

    Published 2023
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  13. 13
    Schematic of metro network disruption and bus bridging response routes.

    Schematic of metro network disruption and bus bridging response routes. by Jiefei Zhang (8787494)

    Published 2023
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  14. 14
    Contour lines of GDOP in parallelogram layout.

    Contour lines of GDOP in parallelogram layout. by Sheng Miao (14248110)

    Published 2022
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  15. 15
    Contour line of GDOP in triangle layout.

    Contour line of GDOP in triangle layout. by Sheng Miao (14248110)

    Published 2022
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  16. 16
    The power magnitude of lines in scenario 1.

    The power magnitude of lines in scenario 1. by Dai Wan (20108122)

    Published 2024
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  17. 17
    The power magnitude of lines in scenario 2.

    The power magnitude of lines in scenario 2. by Dai Wan (20108122)

    Published 2024
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  18. 18
    Schematic representation of FixbbGCNs, the networks used in our experiments.

    Schematic representation of FixbbGCNs, the networks used in our experiments. by Jack B. Maguire (5123183)

    Published 2021
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  19. 19
    Example medication days generated for patients P4 and P6, medication times (red dots), patient’s state—TRS score (blue line) with bounds for the states (red lines) and optimal state (green line).

    Example medication days generated for patients P4 and P6, medication times (red dots), patient’s state—TRS score (blue line) with bounds for the states (red lines) and optimal stat... by Tomasz Gutowski (17200042)

    Published 2023
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  20. 20
    The candidate bridging-bus routes in scenario.

    The candidate bridging-bus routes in scenario. by Jiefei Zhang (8787494)

    Published 2023
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