يعرض 21 - 40 نتائج من 1,453 نتيجة بحث عن '(( algorithm ((within function) OR (python function)) ) OR ( algorithm both function ))', وقت الاستعلام: 0.33s تنقيح النتائج
  1. 21

    Optimize process data and final results حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  2. 22

    Vehicle-related parameters. حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  3. 23

    Device parameter list. حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  4. 24

    The process of IHWGWO. حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  5. 25

    The computational results of the case. حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  6. 26

    Working time of different processes (<i>h</i>). حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  7. 27

    The value functions of comparative policies. حسب Liying Wang (288626)

    منشور في 2025
    "…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …"
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    The value functions for different set-up costs. حسب Liying Wang (288626)

    منشور في 2025
    "…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …"
  14. 34

    Accelerated MPC Algorithms and Augmented System Design for Legged Robots حسب John Ndegwa Nganga (21088838)

    منشور في 2025
    "…The approach is powered by a newly introduced algorithm, named the modified Recursive Newton Euler Algorithm~(mRNEA), which is inspired by classical RNEA, and computes the dynamics information pre-multiplied with a fixed vector. …"
  15. 35

    RFAConv working principle. حسب Pingping Yan (462509)

    منشور في 2025
    الموضوعات:
  16. 36

    PConv working principle. حسب Pingping Yan (462509)

    منشور في 2025
    الموضوعات:
  17. 37

    Improvement of SPPF to SPPF-R process. حسب Pingping Yan (462509)

    منشور في 2025
    الموضوعات:
  18. 38

    PR comparison on RSOD dataset. حسب Pingping Yan (462509)

    منشور في 2025
    الموضوعات:
  19. 39

    Ablation study on the RSOD dataset. حسب Pingping Yan (462509)

    منشور في 2025
    الموضوعات:
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