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Showing 1 - 20 results of 184 for search '(( binary based process optimization algorithm ) OR ( level based linear optimization algorithm ))', query time: 1.16s Refine Results
  1. 1
    <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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  2. 2
    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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  3. 3
    A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm.

    A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm. by Li Li (14993)

    Published 2024
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  4. 4
    A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm.

    A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm. by Li Li (14993)

    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
    Effects of the compiler (gcc 6.3.1) optimization level on the WCET (the lower the better).

    Effects of the compiler (gcc 6.3.1) optimization level on the WCET (the lower the better). by Alba Pedro-Zapater (8600382)

    Published 2020
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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
    Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets

    Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets by Murat Elhüseyni (20744561)

    Published 2025
    “…In order to detect such collusions, we consider a non-linear bi-level problem formulation. The original bi-level formulation is reformulated using two alternative mixed integer linear programming formulations utilizing the linear programming property of the lower level and various linearization methods. …”
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  10. 10
    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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  11. 11
    GA algorithm.

    GA algorithm. by Liangliang Yang (3814120)

    Published 2024
    “…The proposed ELM neural network model was optimized using a genetic algorithm and combined with the linear regression model to establish a predictive model. …”
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  12. 12
    GA-ELM algorithm.

    GA-ELM algorithm. by Liangliang Yang (3814120)

    Published 2024
    “…The proposed ELM neural network model was optimized using a genetic algorithm and combined with the linear regression model to establish a predictive model. …”
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  13. 13
    Schematic of iteration process of IDE-IIGA.

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

    Published 2025
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  14. 14
    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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  15. 15
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
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  16. 16
    Parameter sets of the chosen algorithms.

    Parameter sets of the chosen algorithms. by WanRu Zhao (18980374)

    Published 2024
    “…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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  17. 17
    The flow chart of IERWHO algorithm.

    The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

    Published 2024
    “…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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  18. 18
    The flow chart of WHO algorithm.

    The flow chart of WHO algorithm. by WanRu Zhao (18980374)

    Published 2024
    “…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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  19. 19
    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. …”
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  20. 20
    Function graph and algorithm iterative graph.

    Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

    Published 2024
    “…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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