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Showing 81 - 100 results of 170 for search '(( binary data code optimization algorithm ) OR ( lines based testing optimization algorithm ))', query time: 0.62s Refine Results
  1. 81
    Results of simulating the ability of pBO, BO and random search algorithms on identifying the optima in the Hartmann 3-dimensional surface.

    Results of simulating the ability of pBO, BO and random search algorithms on identifying the optima in the Hartmann 3-dimensional surface. by Nienke E. R. van Bueren (11414330)

    Published 2021
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  2. 82
    Error function description and test optimization results.

    Error function description and test optimization results. by Timothy Rumbell (7419269)

    Published 2019
    “…Curves at top and right in (E) and (F) are based on histograms with 100 bins. (F) Test optimization result. …”
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  3. 83
    Optimization of seat allocation with fixed prices: An application of railway revenue management in China

    Optimization of seat allocation with fixed prices: An application of railway revenue management in China by Wuyang Yuan (5635121)

    Published 2020
    “…To evaluate the performance of seat-based control, we build a Discrete-Time Markov Chain model to describe the ticket reservation process and then design a genetic algorithm to find approximate solutions. …”
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  4. 84
    Post scan feature estimates and confidence ratings.

    Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

    Published 2025
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  5. 85
    Decoding results.

    Decoding results. by Sam Hall-McMaster (10343795)

    Published 2025
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  6. 86
    Subgroup analysis.

    Subgroup analysis. by Sam Hall-McMaster (10343795)

    Published 2025
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  7. 87
    Behavioral results.

    Behavioral results. by Sam Hall-McMaster (10343795)

    Published 2025
    “…Rows are grouped into training and test tasks. <b>A</b>, <b>B</b>, <b>F</b>, <b>G</b>: Theoretical predictions are shown for a model-based algorithm on training (A) and test tasks (F), as well as an SF&GPI algorithm on training (B) and test tasks (G). …”
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  8. 88
    Learning dynamics on training tasks.

    Learning dynamics on training tasks. by Sam Hall-McMaster (10343795)

    Published 2025
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  9. 89
    Comparison of city decoders trained on session one and session two data.

    Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

    Published 2025
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  10. 90
    TB prevalence reduction under population-wide screening algorithms.

    TB prevalence reduction under population-wide screening algorithms. by Alvaro Schwalb (8282517)

    Published 2025
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  11. 91
    Gray variance product line chart.

    Gray variance product line chart. by Qianwei Deng (19353264)

    Published 2024
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  12. 92
    Portiloop implementation.

    Portiloop implementation. by Nicolas Valenchon (13281855)

    Published 2022
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  13. 93
    Surround Suppression mechanism.

    Surround Suppression mechanism. by Elnaz Nemati (21402730)

    Published 2025
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  14. 94
    Description of the real-world dataset.

    Description of the real-world dataset. by Fadi K. Dib (5204807)

    Published 2023
    “…In this paper, we investigate the performance of Jaya algorithm for automatic graph layout with straight lines. …”
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  15. 95
    Screenshot of our visualization tool MGDrawVis.

    Screenshot of our visualization tool MGDrawVis. by Fadi K. Dib (5204807)

    Published 2023
    “…In this paper, we investigate the performance of Jaya algorithm for automatic graph layout with straight lines. …”
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  16. 96
    Total mean square error (MSE) of training and testing data in the best implementation of the ANN-BTA network for estimating the mortality rate of COVID-19 patients in the ranges of [0.1,0.4], [0.4,0.7], [0.7, 1], [1.1.3], [1.3,1.7] and [1.7,2].

    Total mean square error (MSE) of training and testing data in the best implementation of the ANN-BTA network for estimating the mortality rate of COVID-19 patients in the ranges of... by Mouhamad Bodaghie (14838511)

    Published 2023
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  17. 97
    Total mean square error (MSE) of training and testing data in the best implementation of the ANN-PSO network for estimating the mortality rate of COVID-19 patients in the ranges of [0.1,0.4], [0.4,0.7], [0.7, 1], [1.1.3], [1.3,1.7] and [1.7,2].

    Total mean square error (MSE) of training and testing data in the best implementation of the ANN-PSO network for estimating the mortality rate of COVID-19 patients in the ranges of... by Mouhamad Bodaghie (14838511)

    Published 2023
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  18. 98
    Estimation of basic reproduction number and number of patients per day in the period of February 19, 2020 to May 18, 2020 in Iran based on the mortality rate obtained by the ANN-BTA network and the mortality rate declared by the Ministry of Health of Iran.

    Estimation of basic reproduction number and number of patients per day in the period of February 19, 2020 to May 18, 2020 in Iran based on the mortality rate obtained by the ANN-BT... by Mouhamad Bodaghie (14838511)

    Published 2023
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  19. 99
    Model-based sex classification accuracies.

    Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

    Published 2025
    “…The names of the utilized parameter optimization algorithms and parameter spaces are provided on the horizontal axes along with the balanced accuracy values on the vertical axes. …”
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  20. 100
    Performance comparison of neural UCB strategies based on the basal ganglia model against other UCB algorithms in different bandit tasks.

    Performance comparison of neural UCB strategies based on the basal ganglia model against other UCB algorithms in different bandit tasks. by Yuhao Wang (196321)

    Published 2024
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