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Showing 1 - 20 results of 82 for search '(( binary data part optimization algorithm ) OR ( lines e based optimization algorithm ))', query time: 0.67s Refine Results
  1. 1
    Binary contingency table.

    Binary contingency table. by Lu Xiao (314030)

    Published 2024
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  2. 2
    EITO<sub>E</sub> speed distance profile.

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

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  3. 3
    Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values.

    Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values. by John E. Fleming (8533956)

    Published 2023
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  4. 4
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  5. 5
    Performance of optimization algorithms in six different network types.

    Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  6. 6
    Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction

    Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

    Published 2019
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  7. 7
    The number of input edges (denoted by lines) for UniCon-opt (<i>τ</i> = 0) and UniCon-base each round.

    The number of input edges (denoted by lines) for UniCon-opt (<i>τ</i> = 0) and UniCon-base each round. by Chaeeun Kim (14197299)

    Published 2022
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  8. 8
    Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF

    Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF by Maya Khatun (7437011)

    Published 2019
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  9. 9
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  10. 10
    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm.

    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period antic... by John E. Fleming (8533956)

    Published 2023
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  11. 11
    Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach

    Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach by Mengyi Zhang (7454231)

    Published 2021
    “…However, despite the problem’s relevance, no exact method is available in the literature to solve it when long production lines are being considered, i.e., in practical settings. …”
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  12. 12
    Optimization framework.

    Optimization framework. by Nisha Ann Viswan (20371285)

    Published 2024
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  13. 13
    EITO<sub>P</sub> with flexible trip time.

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

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  14. 14
    Energy consumption in the PPO process.

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

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  15. 15
    Speed limits.

    Speed limits. by Yunhu Huang (21402795)

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  16. 16
    Running time in the PPO process.

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

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  17. 17
    Speed limits and gradients from RJ to WYJ.

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

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  18. 18
    Speed limits and gradient from SJZ to XHM.

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

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  19. 19
    Parameters of DKZ32.

    Parameters of DKZ32. by Yunhu Huang (21402795)

    Published 2025
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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  20. 20
    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
    “…The first algorithm, EITO<sub>E</sub>, is based on an expert system containing expert rules and a heuristic expert inference method. …”
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