يعرض 1 - 20 نتائج من 185 نتيجة بحث عن '(( binary task derived optimization algorithm ) OR ( primary aim based optimization algorithm ))', وقت الاستعلام: 0.56s 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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  6. 6

    Business priorities. حسب Yang Yu (4292)

    منشور في 2025
    "…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
  7. 7

    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. …"
  8. 8

    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. …"
  9. 9

    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. …"
  10. 10

    DATA. حسب Yang Yu (4292)

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

    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. …"
  12. 12

    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. …"
  13. 13

    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. …"
  14. 14

    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. …"
  15. 15

    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. …"
  16. 16

    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. …"
  17. 17

    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. …"
  18. 18

    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. …"
  19. 19

    MEAN and MAX error in (%). 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. …"
  20. 20

    <i>x</i><sub><i>j</i></sub>, and <i>y</i><sub><i>j</i></sub> variables for HEV 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. …"