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Showing 1 - 20 results of 124 for search '(( binary based wolf optimization algorithm ) OR ( linear mixed model optimization algorithm ))', query time: 0.58s Refine Results
  1. 1
    LiBiT algorithm to solve static pricing problems under mixed multinomial logit demand

    LiBiT algorithm to solve static pricing problems under mixed multinomial logit demand by Ahmadreza Marandi (9285824)

    Published 2020
    “…We study a static multiproduct price optimization problem with demand given by a continuous mixed multinomial logit model. …”
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  2. 2
    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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  3. 3
    Testing performance comparison for different algorithms.

    Testing performance comparison for different algorithms. by Roberto Bárcenas (13924220)

    Published 2022
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  4. 4
    Training performance comparison for different algorithms.

    Training performance comparison for different algorithms. by Roberto Bárcenas (13924220)

    Published 2022
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  5. 5
    Proportional survival plot of asymptotic, linear, logistic, and pseudo-gamma functional forms against growth time.

    Proportional survival plot of asymptotic, linear, logistic, and pseudo-gamma functional forms against growth time. by Ryu B. Lippmann (14797597)

    Published 2023
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  6. 6
    The flowchart of MCS algorithm.

    The flowchart of MCS algorithm. by Siliang Luan (9499924)

    Published 2024
    “…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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  7. 7
    The results of four algorithms.

    The results of four algorithms. by Siliang Luan (9499924)

    Published 2024
    “…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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  8. 8
    The pseudocode of the MCS algorithm.

    The pseudocode of the MCS algorithm. by Siliang Luan (9499924)

    Published 2024
    “…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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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
    Description of model parameters and assumed values based on expert elicitation and estimates.

    Description of model parameters and assumed values based on expert elicitation and estimates. by Ryu B. Lippmann (14797597)

    Published 2023
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  11. 11
    Parameters setting in the MCS algorithm.

    Parameters setting in the MCS algorithm. by Siliang Luan (9499924)

    Published 2024
    “…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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  12. 12
    Frequency of potential facility locations included in optimal solutions for 100 random subsets of 50 clustered reefs.

    Frequency of potential facility locations included in optimal solutions for 100 random subsets of 50 clustered reefs. by Ryu B. Lippmann (14797597)

    Published 2023
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  13. 13
    Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications

    Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications by Joshua Lukemire (4850356)

    Published 2020
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  14. 14
    Data Sheet 1_Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics.pdf

    Data Sheet 1_Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics.pdf by Nicolina Sciaraffa (19329285)

    Published 2025
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  15. 15
    Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach

    Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach by Sai Li (307025)

    Published 2021
    “…<p>Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. …”
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  16. 16
    Algorithm for generating hyperparameter.

    Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  17. 17
    A proportional frequency histogram of each potential facility location appearing in optimal solutions based on 100 random subsets of 50 reefs.

    A proportional frequency histogram of each potential facility location appearing in optimal solutions based on 100 random subsets of 50 reefs. by Ryu B. Lippmann (14797597)

    Published 2023
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  18. 18
    Results of machine learning algorithm.

    Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  19. 19
    Impact of change in gradient (<i>c</i>) and horizontal shift (<i>t</i><sub>0</sub>) on optimal solutions for different survival curve relationships.

    Impact of change in gradient (<i>c</i>) and horizontal shift (<i>t</i><sub>0</sub>) on optimal solutions for different survival curve relationships. by Ryu B. Lippmann (14797597)

    Published 2023
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  20. 20
    Maximum proportional survival variance.

    Maximum proportional survival variance. by Ryu B. Lippmann (14797597)

    Published 2023
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