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derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
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task derived » risks derived (Expand Search), ipsc derived (Expand Search), data derived (Expand Search)
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Showing 1 - 20 results of 185 for search '(( binary task derived optimization algorithm ) OR ( primary aim based optimization algorithm ))*', query time: 0.49s Refine Results
  1. 1
    Routing policy based on path satisfaction.

    Routing policy based on path satisfaction. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  2. 2
    Flowchart of simple ant colony algorithm.

    Flowchart of simple ant colony algorithm. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  3. 3
    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

    Published 2019
    “…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
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  4. 4
    The algorithm for the same-day surgery protocol.

    The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

    Published 2021
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  5. 5
    Comparison of VCUG indication algorithms: Risk stratification criteria and predictive performance for therapeutic intervention.

    Comparison of VCUG indication algorithms: Risk stratification criteria and predictive performance for therapeutic intervention. by Tomohiro Inoguchi (22552798)

    Published 2025
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  6. 6
    Business priorities.

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  7. 7
    Topology of 14-node communication network.

    Topology of 14-node communication network. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  8. 8
    Changes of risk value under different parameters.

    Changes of risk value under different parameters. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  9. 9
    Performance of active and standby paths.

    Performance of active and standby paths. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  10. 10
    DATA.

    DATA. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  11. 11
    Fig 9 -

    Fig 9 - by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  12. 12
    Predictive performance indicators.

    Predictive performance indicators. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  13. 13
    Fig 8 -

    Fig 8 - by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  14. 14
    GBO procedure.

    GBO procedure. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  15. 15
    LEO pseudocode.

    LEO pseudocode. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  16. 16
    Boxplots in EV tests.

    Boxplots in EV tests. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  17. 17
    GBO parameters for HEV.

    GBO parameters for HEV. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  18. 18
    GBO parameters for HEV.

    GBO parameters for HEV. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  19. 19
    MEAN and MAX error in (%).

    MEAN and MAX error in (%). by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  20. 20
    <i>x</i><sub><i>j</i></sub>, and <i>y</i><sub><i>j</i></sub> variables for HEV tests.

    <i>x</i><sub><i>j</i></sub>, and <i>y</i><sub><i>j</i></sub> variables for HEV tests. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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