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Showing 1 - 20 results of 55 for search '(( lines based robust optimization algorithm ) OR ( binary basic wolf optimization algorithm ))', query time: 0.32s Refine Results
  1. 1
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  2. 2
    Improved LMedS-based for sag measurement accuracy of transmission lines via PSO method

    Improved LMedS-based for sag measurement accuracy of transmission lines via PSO method by Xingzhi Ren (21400870)

    Published 2025
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  3. 3
    EITO<sub>P</sub> with flexible trip time.

    EITO<sub>P</sub> with flexible trip time. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  4. 4
    Energy consumption in the PPO process.

    Energy consumption in the PPO process. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  5. 5
    Speed limits.

    Speed limits. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  6. 6
    Running time in the PPO process.

    Running time in the PPO process. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  7. 7
    Speed limits and gradients from RJ to WYJ.

    Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  8. 8
    EITO<sub>E</sub> speed distance profile.

    EITO<sub>E</sub> speed distance profile. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  9. 9
    Speed limits and gradient from SJZ to XHM.

    Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  10. 10
    Parameters of DKZ32.

    Parameters of DKZ32. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  11. 11
    EITO<sub><i>P</i></sub> with a variable trip time.

    EITO<sub><i>P</i></sub> with a variable trip time. by Yunhu Huang (21402795)

    Published 2025
    “…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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  12. 12
    Sensitivity and Specificity Analysis.

    Sensitivity and Specificity Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  13. 13
    CSI, Balanced accuracy, and FMI Analysis.

    CSI, Balanced accuracy, and FMI Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  14. 14
    Architecture of CDL Network.

    Architecture of CDL Network. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  15. 15
    Hyper-parameter tuning of the proposed model.

    Hyper-parameter tuning of the proposed model. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  16. 16
    Accuracy and F-Measure Analysis.

    Accuracy and F-Measure Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  17. 17
    FPR and FNR analysis.

    FPR and FNR analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  18. 18
    Comparative Analysis of Mitosis Detection Method.

    Comparative Analysis of Mitosis Detection Method. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  19. 19
    Markedness and NLR Analysis.

    Markedness and NLR Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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  20. 20
    Accuracy vs loss for varying epochs.

    Accuracy vs loss for varying epochs. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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