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Showing 1 - 20 results of 128 for search '(( binary based process optimization algorithm ) OR ( lines based work optimization algorithm ))', query time: 0.54s 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
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  2. 2
    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
    “…In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. …”
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  3. 3
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
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  4. 4
    Working condition arrangement.

    Working condition arrangement. by Jian Yang (12136)

    Published 2024
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  5. 5
    Feature selection process.

    Feature selection process. by Balraj Preet Kaur (20370832)

    Published 2024
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  6. 6
    Comparison of performance with complex continuous lines.

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

    Published 2025
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  7. 7
    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
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  8. 8
    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
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  9. 9
    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
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  10. 10
    Operation curve comparison among the EITO algorithms.

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

    Published 2025
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  11. 11
    Operation curve comparison among the EITO algorithms.

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

    Published 2025
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  12. 12
    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
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  13. 13
    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
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  14. 14
    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
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  15. 15
    Schematic of iteration process of IDE-IIGA.

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

    Published 2025
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  16. 16
    Flowchart of the proposed work.

    Flowchart of the proposed work. by Weifeng Liu (635311)

    Published 2024
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  17. 17
    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. …”
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  18. 18
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
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  19. 19
    <i>hi</i>PRS algorithm process flow.

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

    Published 2023
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  20. 20
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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