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Showing 41 - 60 results of 118 for search '(( binary task based optimization algorithm ) OR ( final tree models optimization algorithm ))', query time: 0.62s Refine Results
  1. 41
    Memory storage behavior.

    Memory storage behavior. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  2. 42
    Elite search behavior.

    Elite search behavior. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  3. 43
    Description of the datasets.

    Description of the datasets. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  4. 44
    S and V shaped transfer functions.

    S and V shaped transfer functions. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  5. 45
    S- and V-Type transfer function diagrams.

    S- and V-Type transfer function diagrams. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  6. 46
    Collaborative hunting behavior.

    Collaborative hunting behavior. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  7. 47
    Friedman average rank sum test results.

    Friedman average rank sum test results. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  8. 48
    IRBMO vs. variant comparison adaptation data.

    IRBMO vs. variant comparison adaptation data. by Chenyi Zhu (9383370)

    Published 2025
    “…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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  9. 49
    An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%.

    An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. by Zhengdong Wang (35299)

    Published 2025
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  10. 50
    Image5_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif

    Image5_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  11. 51
    Image3_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif

    Image3_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  12. 52
    Image1_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif

    Image1_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  13. 53
    Image2_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif

    Image2_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  14. 54
    Image4_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif

    Image4_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.tif by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  15. 55
    Video1_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4

    Video1_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4 by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  16. 56
    Video5_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4

    Video5_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4 by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  17. 57
    Video4_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4

    Video4_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4 by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  18. 58
    Video2_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4

    Video2_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4 by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  19. 59
    DataSheet1_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.docx

    DataSheet1_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.docx by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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  20. 60
    Video6_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4

    Video6_Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization.MP4 by Viacheslav V. Danilov (11151426)

    Published 2023
    “…For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. …”
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