Showing 21 - 40 results of 1,453 for search '(( algorithm ((within function) OR (python function)) ) OR ( algorithm both function ))*', query time: 0.32s Refine Results
  1. 21

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

    Published 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. by Dawei Wang (471687)

    Published 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. by Dawei Wang (471687)

    Published 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. by Dawei Wang (471687)

    Published 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. by Dawei Wang (471687)

    Published 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>). by Dawei Wang (471687)

    Published 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. by Liying Wang (288626)

    Published 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. by Liying Wang (288626)

    Published 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 by John Ndegwa Nganga (21088838)

    Published 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. …”
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