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Showing 1 - 20 results of 956 for search '(( linear based based optimization algorithm ) OR ( binary layer wolf optimization algorithm ))', query time: 0.54s Refine Results
  1. 1
    Illustration of linear prediction model.

    Illustration of linear prediction model. by Qingyang Zhang (626047)

    Published 2021
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  2. 2
    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
    “…<p>A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm.…”
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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
    “…<p>A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm.…”
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  4. 4
    Flowchart of chaos light optimization model based on MOGA.

    Flowchart of chaos light optimization model based on MOGA. by Jian Kong (164512)

    Published 2024
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  5. 5
    Flowchart of whale flock optimization algorithm.

    Flowchart of whale flock optimization algorithm. by Rongxin Gong (18864603)

    Published 2024
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  6. 6
    Non-Iterative Linear Maximization Algorithm

    Non-Iterative Linear Maximization Algorithm by Gerardo L. Febres (4455913)

    Published 2019
    “…<div>Explicit C sharp code for the Linear Optimization algorithm based on active constraints recognition. …”
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  7. 7
    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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  8. 8
    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
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  9. 9
    A spatial plot of optimal solution for parametrized base case.

    A spatial plot of optimal solution for parametrized base case. by Ryu B. Lippmann (14797597)

    Published 2023
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  10. 10
    Previously literatures on feature evaluation for relevance based on linear transformation.

    Previously literatures on feature evaluation for relevance based on linear transformation. by Jia Liu (41593)

    Published 2025
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  11. 11
    Deviations from the optimal SINR versus the SNR value.

    Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

    Published 2023
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  12. 12
    Deviations from the optimal SINR versus the SNR value.

    Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

    Published 2023
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  13. 13
    Deviations from the optimal SINR versus the SNR value.

    Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

    Published 2023
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  14. 14
    The LSTM performance based on PSO optimizer.

    The LSTM performance based on PSO optimizer. by Rizk M. Rizk-Allah (18625751)

    Published 2024
    “…The performance of LSTM is compared with other machine learning algorithm such as Decision tree (DT), Linear regression (LR) and Gradient Boosting. …”
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  15. 15
    Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites.

    Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

    Published 2024
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  16. 16
    Comparison of computational time, number of iterations, and computational time per iteration between linear solvers.

    Comparison of computational time, number of iterations, and computational time per iteration between linear solvers. by Antoine Falisse (6061601)

    Published 2019
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  17. 17
    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.

    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

    Published 2024
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  18. 18
    A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS

    A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS by Evelyn Michelle Henrique Braga (13117440)

    Published 2022
    “…Then, a mathematical optimization approach based on the linearization of the models is applied. …”
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  19. 19
    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

    Published 2019
    “…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
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  20. 20
    Convergence curve of CPO optimization algorithm for carbon market.

    Convergence curve of CPO optimization algorithm for carbon market. by Yaoyang Yi (21627403)

    Published 2025
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