Search alternatives:
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
used process » use process (Expand Search), based process (Expand Search), free process (Expand Search)
binary basic » binary mask (Expand Search)
basic based » music based (Expand Search), basic gases (Expand Search)
Showing 1 - 20 results of 139 for search '(( lines used process optimization algorithm ) OR ( binary basic based optimization algorithm ))*', query time: 0.69s Refine Results
  1. 1
    Optimization of image processing algorithms.

    Optimization of image processing algorithms. by Honghai Kuang (14883375)

    Published 2023
    Save to List
    Saved in:
  2. 2
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Anonymous authors (for blind review purpose) (6473313)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
    Save to List
    Saved in:
  3. 3
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Anonymous authors (for blind review purpose) (6473313)

    Published 2021
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
    Save to List
    Saved in:
  4. 4
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Jiaxuan Shi (7455707)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
    Save to List
    Saved in:
  5. 5
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Jiaxuan Shi (7455707)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
    Save to List
    Saved in:
  6. 6
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Jiaxuan Shi (7455707)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
    Save to List
    Saved in:
  7. 7
    Configuration of the CRH3 train used in China.

    Configuration of the CRH3 train used in China. by Dapeng Wang (250459)

    Published 2023
    Save to List
    Saved in:
  8. 8
    Example of subsampling process.

    Example of subsampling process. by Sofia P. Miranda (11418930)

    Published 2021
    Save to List
    Saved in:
  9. 9
    Energy consumption in the PPO process.

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

    Published 2025
    Save to List
    Saved in:
  10. 10
    Running time in the PPO process.

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

    Published 2025
    Save to List
    Saved in:
  11. 11
    Statistics of GI data processing using different algorithms at various input CTTDs.

    Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

    Published 2025
    Save to List
    Saved in:
  12. 12
    Statistics of HEWL data processing using different algorithms at various input CTTDs.

    Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

    Published 2025
    Save to List
    Saved in:
  13. 13
    Complex traffic line and track point diagram.

    Complex traffic line and track point diagram. by Mingkang Sun (6498791)

    Published 2024
    Save to List
    Saved in:
  14. 14
    Complex traffic line and track point diagram.

    Complex traffic line and track point diagram. by Mingkang Sun (6498791)

    Published 2024
    Save to List
    Saved in:
  15. 15
    Details of 23 basic benchmark functions.

    Details of 23 basic benchmark functions. by Ying Li (38224)

    Published 2024
    Save to List
    Saved in:
  16. 16
    Display of the bilateral BRT line in Jinan.

    Display of the bilateral BRT line in Jinan. by Rongrong Guo (1847989)

    Published 2024
    “…The cost includes the agency operating and user travel. The optimal design model is formulated as a mixed-integer program and solved using a fuzzy analytic hierarchy process (FAHP) and a genetic algorithm (GA). …”
    Save to List
    Saved in:
  17. 17
    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx

    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

    Published 2022
    “…Genetic algorithm translates the optimization process of ladle refractory lining into natural evolution and selection. …”
    Save to List
    Saved in:
  18. 18
    Poisson GAMs using MCEM (solid line) and a naïve model (dashed line) fitted to the air pollution data recorded in Milan, Italy 1980–1989.

    Poisson GAMs using MCEM (solid line) and a naïve model (dashed line) fitted to the air pollution data recorded in Milan, Italy 1980–1989. by Jakub Stoklosa (3315042)

    Published 2023
    Save to List
    Saved in:
  19. 19
    Reconstructed PSNR vs decomposition number of algorithm OMP and algorithm NSGA-III-OMP.

    Reconstructed PSNR vs decomposition number of algorithm OMP and algorithm NSGA-III-OMP. by Li WANG (7551848)

    Published 2022
    Save to List
    Saved in:
  20. 20
    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:

Search Tools: