Search alternatives:
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
based optimization » whale optimization (Expand Search)
waste processing » data processing (Expand Search), image processing (Expand Search), wood processing (Expand Search)
binary b » binary _ (Expand Search)
b based » _ based (Expand Search), 1 based (Expand Search), 2 based (Expand Search)
Showing 1 - 20 results of 102 for search '(( final waste processing optimization algorithm ) OR ( binary b based optimization algorithm ))*', query time: 0.52s Refine Results
  1. 1
    One advantage of our algorithm is that it is not binary in nature.

    One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

    Published 2022
    Save to List
    Saved in:
  2. 2
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
    Save to List
    Saved in:
  3. 3
    Table1_A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm.DOCX

    Table1_A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm.DOCX by Xianjing Zhong (18067297)

    Published 2024
    Save to List
    Saved in:
  4. 4
    DataSheet1_Based on the difference of Newton’s method integrated energy system distributed collaborative optimization.docx

    DataSheet1_Based on the difference of Newton’s method integrated energy system distributed collaborative optimization.docx by Xinying Liu (488989)

    Published 2023
    Save to List
    Saved in:
  5. 5
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    Save to List
    Saved in:
  6. 6
    DataSheet1_A Mine Ventilation System Energy Saving Technique Based on an Improved Equilibrium Optimizer.docx

    DataSheet1_A Mine Ventilation System Energy Saving Technique Based on an Improved Equilibrium Optimizer.docx by Bao-cai Yu (13231338)

    Published 2022
    Save to List
    Saved in:
  7. 7
    Table1_Small-disturbance stability analysis and control-parameter optimization of grid-connected virtual synchronous generator.DOCX

    Table1_Small-disturbance stability analysis and control-parameter optimization of grid-connected virtual synchronous generator.DOCX by Xianshan Sun (19272817)

    Published 2024
    Save to List
    Saved in:
  8. 8
    Table1_Distributed robust optimization scheduling of a steel plant integrated energy system considering the uncertainty of byproduct coal gas.DOCX

    Table1_Distributed robust optimization scheduling of a steel plant integrated energy system considering the uncertainty of byproduct coal gas.DOCX by Fan Li (49953)

    Published 2022
    Save to List
    Saved in:
  9. 9
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

    Published 2025
    Save to List
    Saved in:
  10. 10
    DataSheet1_Research on renewable energy power demand forecasting method based on IWOA-SA-BILSTM modeling.xlsx

    DataSheet1_Research on renewable energy power demand forecasting method based on IWOA-SA-BILSTM modeling.xlsx by Minghu Wang (422142)

    Published 2024
    Save to List
    Saved in:
  11. 11
    Feature extraction model training process.

    Feature extraction model training process. by Fengning Liang (20927493)

    Published 2025
    Save to List
    Saved in:
  12. 12
    Infectious medical wastes transport system.

    Infectious medical wastes transport system. by Chen Hao (352436)

    Published 2025
    “…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”
    Save to List
    Saved in:
  13. 13
    T2-Flair model training process using all data.

    T2-Flair model training process using all data. by Fengning Liang (20927493)

    Published 2025
    Save to List
    Saved in:
  14. 14
    T2-Flair model training process using all data.

    T2-Flair model training process using all data. by Fengning Liang (20927493)

    Published 2025
    Save to List
    Saved in:
  15. 15
    Texas Rio Grande Valley Red–crowned Parrot predicted general use habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence) MaxEnt models.

    Texas Rio Grande Valley Red–crowned Parrot predicted general use habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence... by Elise Varaela Voltura (17592996)

    Published 2023
    Save to List
    Saved in:
  16. 16
    Texas Rio Grande Valley Red–crowned Parrot predicted roost site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence) MaxEnt models.

    Texas Rio Grande Valley Red–crowned Parrot predicted roost site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence)... by Elise Varaela Voltura (17592996)

    Published 2023
    Save to List
    Saved in:
  17. 17
    Texas Rio Grande Valley Red–crowned Parrot predicted nest site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence) MaxEnt models.

    Texas Rio Grande Valley Red–crowned Parrot predicted nest site habitat distribution as determined via a consensus-based feature ensemble of 12 calibrated (binary presence/absence)... by Elise Varaela Voltura (17592996)

    Published 2023
    Save to List
    Saved in:
  18. 18
    Table1_Site selection and capacity determination of charging stations considering the uncertainty of users’ dynamic charging demands.pdf

    Table1_Site selection and capacity determination of charging stations considering the uncertainty of users’ dynamic charging demands.pdf by Zhang Linjuan (17803466)

    Published 2024
    Save to List
    Saved in:
  19. 19
    Image2_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF

    Image2_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF by Hao Bai (555291)

    Published 2023
    Save to List
    Saved in:
  20. 20
    Image1_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF

    Image1_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF by Hao Bai (555291)

    Published 2023
    Save to List
    Saved in:

Search Tools: