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Showing 1 - 20 results of 115 for search '(( lines based models optimization algorithm ) OR ( binary based codon optimization algorithm ))', query time: 0.63s Refine Results
  1. 1
    Greedy optimization algorithm.

    Greedy optimization algorithm. by Alexis Bénichou (19832361)

    Published 2024
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  2. 2
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  3. 3
    Line chart of influence propagation results of different algorithms when propagation probability p = 0.01.

    Line chart of influence propagation results of different algorithms when propagation probability p = 0.01. by Lihong Han (7280045)

    Published 2025
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  4. 4
    The power magnitude of lines in scenario 1.

    The power magnitude of lines in scenario 1. by Dai Wan (20108122)

    Published 2024
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  5. 5
    The power magnitude of lines in scenario 2.

    The power magnitude of lines in scenario 2. by Dai Wan (20108122)

    Published 2024
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  6. 6
    Line graph showing trend of solar irradiance data.

    Line graph showing trend of solar irradiance data. by Muhammad Sadiq (9449915)

    Published 2025
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  7. 7
    Simulation of dense parameter pairs and optimal model output.

    Simulation of dense parameter pairs and optimal model output. by Yen-Ju Chen (354876)

    Published 2025
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  8. 8
    Single-Line scheme of Ajinde 62-node grid.

    Single-Line scheme of Ajinde 62-node grid. by Zuhair Alaas (20868907)

    Published 2025
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  9. 9
    Bivariate analysis using line plot for casing, bearing & impeller vs pressure.

    Bivariate analysis using line plot for casing, bearing & impeller vs pressure. by Gaurav Sandeep Dave (21519884)

    Published 2025
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  10. 10
    Steady-State Simulation Performance at 1000 <i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm.

    Steady-State Simulation Performance at 1000 <i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm. by Rana Ahmed (4923127)

    Published 2024
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  11. 11
    Optimization framework.

    Optimization framework. by Nisha Ann Viswan (20371285)

    Published 2024
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  12. 12
    Curves of petrol used based on statistical data.

    Curves of petrol used based on statistical data. by Rana Ahmed (4923127)

    Published 2024
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  13. 13
    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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  14. 14
    Proposed deep learning model.

    Proposed deep learning model. by Rana Ahmed (4923127)

    Published 2024
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  15. 15
    Transient Simulation Performance at 800<i>W</i>/<i>m</i><sup>2</sup> and 400<i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm.

    Transient Simulation Performance at 800<i>W</i>/<i>m</i><sup>2</sup> and 400<i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm. by Rana Ahmed (4923127)

    Published 2024
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  16. 16
    Training and validation mean absolute error generated during training the proposed model.

    Training and validation mean absolute error generated during training the proposed model. by Rana Ahmed (4923127)

    Published 2024
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  17. 17
    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.

    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

    Published 2024
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  18. 18
    Model-based sex classification accuracies.

    Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

    Published 2025
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  19. 19
    Simulation results with optimal epidemic control.

    Simulation results with optimal epidemic control. by Sandor Beregi (22177739)

    Published 2025
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  20. 20
    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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