يعرض 521 - 540 نتائج من 571 نتيجة بحث عن 'path optimization algorithm', وقت الاستعلام: 0.18s تنقيح النتائج
  1. 521

    Ackermann steering model. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  2. 522

    Main technical parameters of the vehicle. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  3. 523

    Vehicle trajectory during uphill acceleration. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  4. 524

    7-DOF vehicle dynamics model. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  5. 525
  6. 526

    Wheel rotational dynamics model. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  7. 527

    Linear 2-DOF vehicle dynamics reference model. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  8. 528

    Tire-road adhesion characteristic curve. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  9. 529

    Flowchart of the NSGA-II. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  10. 530

    Slope starting acceleration curve. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  11. 531

    Force analysis of vehicles on slopes. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  12. 532

    Yaw rate comparison during accelerated turning. حسب Zhigang Zhou (2371921)

    منشور في 2025
    "…With the objectives of dynamically minimizing wheel slip ratio and maintaining driving stability, the non-dominated sorting genetic algorithm-II (NSGA-II) is employed to optimally distribute the total driving torque. …"
  13. 533

    Prediction of Proteolysis-Targeting Chimeras Retention Time Using XGBoost Model Incorporated with Chromatographic Conditions حسب Xinhao Qu (20535329)

    منشور في 2025
    "…Through screening combinations of molecular fingerprints, descriptors and chromatographic condition descriptors (CCs), we developed an optimized XGBoost model (XGBoost + moe206+Path + Charge + CCs) that achieved an <i>R</i><sup>2</sup> of 0.958 ± 0.027 and an RMSE of 0.934 ± 0.412. …"
  14. 534

    Supplementary Material حسب Haojia Jiang (17730105)

    منشور في 2025
    "…The supplementary material provides comprehensive technical details, including the sample images used in the simulation procedures along with their corresponding Fourier spectra, genetic algorithm parameter design, the principle of frequency-domain partitioning, dithering path selection strategies, quality assessment metrics, additional simulation and experimental comparisons, single-kernel versus dual-kernel optimization analysis, and undersampling performance data.…"
  15. 535

    Code and test data for Polycenter حسب Ya-Ke Zhai (14248922)

    منشور في 2025
    "…Its technical advantages have enabled diverse applications across multiple disciplines, including geographic information systems (GIS), robotics path planning, materials science research, and computer-aided design (CAD) optimization.…"
  16. 536

    Conducting Eco-Hydraulic Simulation Experiments Using Embodied Intelligent Fish حسب 涛 LI (20525192)

    منشور في 2025
    "…<p dir="ltr">The design and optimization of fishways and other fish-passage facilities are one of the critical issues in hydraulic engineering. …"
  17. 537

    (A–C) حسب Abdullah Faiz Al Asmari (20889957)

    منشور في 2025
    "…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …"
  18. 538

    Linear exponent decision for حسب Abdullah Faiz Al Asmari (20889957)

    منشور في 2025
    "…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …"
  19. 539

    (A–C) convergence failure assessment for حسب Abdullah Faiz Al Asmari (20889957)

    منشور في 2025
    "…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …"
  20. 540

    Comparison values of Avg. interaction time. حسب Abdullah Faiz Al Asmari (20889957)

    منشور في 2025
    "…The model employs a hybrid trained herd optimization algorithm to improve the longevity for interaction between vehicles and roadside units, minimizing handoff interruptions. …"