Search alternatives:
process optimization » model optimization (Expand Search)
complex optimization » convex optimization (Expand Search), whale optimization (Expand Search), wolf optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
based complex » layer complex (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 182 for search '(( binary based process optimization algorithm ) OR ( lines based complex optimization algorithm ))', query time: 0.67s 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
    Comparison of performance with complex continuous lines.

    Comparison of performance with complex continuous lines. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    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:
  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
    Greedy optimization algorithm.

    Greedy optimization algorithm. by Alexis Bénichou (19832361)

    Published 2024
    Save to List
    Saved in:
  6. 6
    Parameters in algorithms.

    Parameters in algorithms. by Chao Li (145513)

    Published 2023
    “…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
    Save to List
    Saved in:
  7. 7
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Comparison of line planning results.

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

    Published 2023
    “…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
    Save to List
    Saved in:
  9. 9
    Feature selection process.

    Feature selection process. by Balraj Preet Kaur (20370832)

    Published 2024
    Save to List
    Saved in:
  10. 10
    Algorithm flow of BBO.

    Algorithm flow of BBO. by Jian Yang (12136)

    Published 2024
    “…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
    Save to List
    Saved in:
  11. 11
    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:
  12. 12
    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:
  13. 13
    Operation curve comparison among the EITO algorithms.

    Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Operation curve comparison among the EITO algorithms.

    Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    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:
  16. 16
    Operation curve comparison among the five algorithms in the 95 s trip.

    Operation curve comparison among the five algorithms in the 95 s trip. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 17
    Operation curve comparison among the five algorithms in the 115 s trip.

    Operation curve comparison among the five algorithms in the 115 s trip. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 18
    Operation curve comparison among the five algorithms in the 101s trip.

    Operation curve comparison among the five algorithms in the 101s trip. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    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
    Save to List
    Saved in:
  20. 20
    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:

Search Tools: