Search alternatives:
column optimization » volume optimization (Expand Search), codon optimization (Expand Search), wolf optimization (Expand Search)
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
model column » model could (Expand Search), soil column (Expand Search), total column (Expand Search)
final model » animal model (Expand Search)
binary edge » binary image (Expand Search)
edge policy » sdgs policy (Expand Search), media policy (Expand Search), leave policy (Expand Search)
Showing 1 - 20 results of 28 for search '(( final model column optimization algorithm ) OR ( binary edge policy optimization algorithm ))', query time: 0.54s Refine Results
  1. 1
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Comparisons between ADAM and NADAM optimizers.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    Data Sheet 1_Data-driven industrial park microgrids robust optimization method.docx

    Data Sheet 1_Data-driven industrial park microgrids robust optimization method.docx by Chuanhong Ru (22136908)

    Published 2025
    “…A data-driven robust optimization model for industrial park microgrid was further established, and the column and constraint (C&CG) generation algorithm was used to solve the model. …”
    Save to List
    Saved in:
  4. 4
    Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.

    Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.

    Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    An Example of a WPT-MEC Network.

    An Example of a WPT-MEC Network. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Related Work Summary.

    Related Work Summary. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Simulation parameters.

    Simulation parameters. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 9
    Training losses for N = 10.

    Training losses for N = 10. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods.

    Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.

    The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    Normalized computation rate for N = 10.

    Normalized computation rate for N = 10. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    CDF of task latency, approximated as the inverse of the achieved computation rate.

    CDF of task latency, approximated as the inverse of the achieved computation rate. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate.

    Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    Summary of Notations Used in this paper.

    Summary of Notations Used in this paper. by Hend Bayoumi (22693738)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 16
    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
    “…Then, according to duality theory and the big-M method, the original distributed robust optimization (DRO) model is transformed into a traditional mixed integer linear programming (MILP) model, which is solved by the column-and-constraint generation (CC&G) algorithm. …”
    Save to List
    Saved in:
  17. 17
    The flowchart for model solving process.

    The flowchart for model solving process. by Tianhe Sun (21145341)

    Published 2025
    “…The effectiveness and applicability of the proposed model and solution algorithm are verified.</p></div>…”
    Save to List
    Saved in:
  18. 18
    Typical scenarios of wind power.

    Typical scenarios of wind power. by Tianhe Sun (21145341)

    Published 2025
    “…The effectiveness and applicability of the proposed model and solution algorithm are verified.</p></div>…”
    Save to List
    Saved in:
  19. 19
    Minimal data set.

    Minimal data set. by Tianhe Sun (21145341)

    Published 2025
    “…The effectiveness and applicability of the proposed model and solution algorithm are verified.</p></div>…”
    Save to List
    Saved in:
  20. 20
    Typical scenarios of electrical demand.

    Typical scenarios of electrical demand. by Tianhe Sun (21145341)

    Published 2025
    “…The effectiveness and applicability of the proposed model and solution algorithm are verified.</p></div>…”
    Save to List
    Saved in:

Search Tools: