يعرض 1 - 20 نتائج من 125 نتيجة بحث عن '(( binary pair model optimization algorithm ) OR ( primary aim based optimization algorithm ))', وقت الاستعلام: 0.54s تنقيح النتائج
  1. 1

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

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  2. 2

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

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  3. 3

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

    منشور في 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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    Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations. حسب Tristan Mary-Huard (3864)

    منشور في 2023
    "…After <i>K</i> − 2 = 2 steps, the resulting tree is binary and the algorithm stops.</p>…"
  7. 7

    <i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

    منشور في 2023
    "…<b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"
  8. 8

    Business priorities. حسب Yang Yu (4292)

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  9. 9

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

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  10. 10

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

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  11. 11

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

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  12. 12

    DATA. حسب Yang Yu (4292)

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  13. 13

    Fig 9 - حسب Mouncef El Marghichi (17328361)

    منشور في 2023
    "…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …"
  14. 14

    Predictive performance indicators. حسب Mouncef El Marghichi (17328361)

    منشور في 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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    Fig 8 - حسب Mouncef El Marghichi (17328361)

    منشور في 2023
    "…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …"
  16. 16

    GBO procedure. حسب Mouncef El Marghichi (17328361)

    منشور في 2023
    "…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …"
  17. 17

    LEO pseudocode. حسب Mouncef El Marghichi (17328361)

    منشور في 2023
    "…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …"
  18. 18

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

    منشور في 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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    GBO parameters for HEV. حسب Mouncef El Marghichi (17328361)

    منشور في 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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    GBO parameters for HEV. حسب Mouncef El Marghichi (17328361)

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