Search alternatives:
process optimization » model optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
Showing 1 - 20 results of 112 for search '(( binary based process optimization algorithm ) OR ( lines based global optimization algorithm ))*', query time: 0.66s Refine Results
  1. 1
    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms.

    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  2. 2
    Feature selection process.

    Feature selection process. by Balraj Preet Kaur (20370832)

    Published 2024
    Save to List
    Saved in:
  3. 3
    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
    Subjects:
    Save to List
    Saved in:
  4. 4
    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:
  5. 5
    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:
  6. 6
    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA.

    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. by Olaide N. Oyelade (14047002)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  7. 7
    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:
  8. 8
    Schematic of iteration process of IDE-IIGA.

    Schematic of iteration process of IDE-IIGA. by Ling Zhao (111365)

    Published 2025
    Save to List
    Saved in:
  9. 9
    Service Coverage Optimization for Facility Location: Considering Line-Of-Sight Coverage in Continuous Demand Space

    Service Coverage Optimization for Facility Location: Considering Line-Of-Sight Coverage in Continuous Demand Space by XIAOYA MA (12164486)

    Published 2023
    Save to List
    Saved in:
  10. 10
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
    Save to List
    Saved in:
  11. 11
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
    Save to List
    Saved in:
  12. 12
    <i>hi</i>PRS algorithm process flow.

    <i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

    Published 2023
    Save to List
    Saved in:
  13. 13
    Automated Discovery and Optimization of 3D Topological Photonic Crystals

    Automated Discovery and Optimization of 3D Topological Photonic Crystals by Samuel Kim (1682104)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  14. 14
    Comparisons between ADAM and NADAM optimizers.

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

    Published 2025
    “…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
    Save to List
    Saved in:
  15. 15
    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
    Subjects:
    Save to List
    Saved in:
  16. 16
    Curves of petrol used based on statistical data.

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

    Published 2024
    Subjects:
    Save to List
    Saved in:
  17. 17
    Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
    Save to List
    Saved in:
  18. 18
    Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
    Save to List
    Saved in:
  19. 19
    Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
    Save to List
    Saved in:
  20. 20
    Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
    Save to List
    Saved in:

Search Tools: