Search alternatives:
quality optimization » policy optimization (Expand Search), whale optimization (Expand Search), path optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
based quality » care quality (Expand Search), seed quality (Expand Search), bone quality (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
binary mask » binary image (Expand Search)
Showing 1 - 20 results of 81 for search '(( lines based quality optimization algorithm ) OR ( binary mask wolf optimization algorithm ))', query time: 0.48s Refine Results
  1. 1
    Parameters in algorithms.

    Parameters in algorithms. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:
  2. 2
    Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm

    Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm by Anonymous Authors (for blind review purpose) (11523120)

    Published 2022
    Save to List
    Saved in:
  3. 3
    Comparison of line planning results.

    Comparison of line planning results. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:
  4. 4
    Dose distributions of optimized plans.

    Dose distributions of optimized plans. by Hojin Kim (462672)

    Published 2020
    Save to List
    Saved in:
  5. 5
    Algorithm verification.

    Algorithm verification. by Dmitrii Smirnov (8822324)

    Published 2020
    Save to List
    Saved in:
  6. 6
    Test-set Kappa for CNN with and without optimization.

    Test-set Kappa for CNN with and without optimization. by Javier León (162217)

    Published 2020
    Save to List
    Saved in:
  7. 7
    Test-set Kappa for RNN with and without optimization.

    Test-set Kappa for RNN with and without optimization. by Javier León (162217)

    Published 2020
    Save to List
    Saved in:
  8. 8
    Test-set Kappa for FFNN with and without optimization.

    Test-set Kappa for FFNN with and without optimization. by Javier León (162217)

    Published 2020
    Save to List
    Saved in:
  9. 9
    Test-set Kappa for RNN with and without optimization.

    Test-set Kappa for RNN with and without optimization. by Javier León (162217)

    Published 2020
    Save to List
    Saved in:
  10. 10
    Energy-time behavior for the three optimized networks.

    Energy-time behavior for the three optimized networks. by Javier León (162217)

    Published 2020
    Save to List
    Saved in:
  11. 11
    The losses of the training process before and after the optimization of loss function.

    The losses of the training process before and after the optimization of loss function. by Peihan Wen (6324315)

    Published 2022
    Save to List
    Saved in:
  12. 12
    Comparison of presented algorithm precision to Bot et al.

    Comparison of presented algorithm precision to Bot et al. by Dmitrii Smirnov (8822324)

    Published 2020
    Save to List
    Saved in:
  13. 13
    PSO algorithms flowchart.

    PSO algorithms flowchart. by Mohammed F. Elnaggar (18297954)

    Published 2024
    Save to List
    Saved in:
  14. 14
    Recovery qualities of individual groups under increasing intra-group heterogeneity and inter-group promiscuity of species.

    Recovery qualities of individual groups under increasing intra-group heterogeneity and inter-group promiscuity of species. by Yuanchen Zhao (12905580)

    Published 2024
    Save to List
    Saved in:
  15. 15
    Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX

    Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX by Åsmund Flobak (789984)

    Published 2023
    Save to List
    Saved in:
  16. 16
    MCR’s train diagram.

    MCR’s train diagram. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:
  17. 17
    Definition of variables.

    Definition of variables. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:
  18. 18
    Fleet size sensitivity analysis.

    Fleet size sensitivity analysis. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:
  19. 19
    Number of variables and constraints in the model.

    Number of variables and constraints in the model. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:
  20. 20
    Other parameters.

    Other parameters. by Chao Li (145513)

    Published 2023
    “…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”
    Save to List
    Saved in:

Search Tools: