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Showing 1,761 - 1,780 results of 4,823 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm a function ))))', query time: 0.45s Refine Results
  1. 1761
    Histogram of non-zero demands.

    Histogram of non-zero demands. by Ferhat Yuna (21519851)

    Published 2025
    “…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”
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  2. 1762
    SA Solutions.

    SA Solutions. by Ferhat Yuna (21519851)

    Published 2025
    “…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”
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  3. 1763
    TSA Solutions.

    TSA Solutions. by Ferhat Yuna (21519851)

    Published 2025
    “…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”
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  4. 1764
    Research methodology in this research.

    Research methodology in this research. by Ferhat Yuna (21519851)

    Published 2025
    “…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”
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  5. 1765
    Network Analysis for the Intermittent Demand Keyword [3].

    Network Analysis for the Intermittent Demand Keyword [3]. by Ferhat Yuna (21519851)

    Published 2025
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  6. 1766
    Statistical analysis table.

    Statistical analysis table. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  7. 1767
    Results of ablation experiment.

    Results of ablation experiment. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  8. 1768
    Comparison of results based on CycleGAN method.

    Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  9. 1769
    Densely linked network.

    Densely linked network. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  10. 1770
    CycleGAN cycle consistency.

    CycleGAN cycle consistency. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  11. 1771
    Network structure of CycleGAN model.

    Network structure of CycleGAN model. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  12. 1772
    Adams dense link module.

    Adams dense link module. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  13. 1773
    Generator network and discriminator network.

    Generator network and discriminator network. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  14. 1774
    Settings of related parameters.

    Settings of related parameters. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  15. 1775
    Comparison of ablation experiment results.

    Comparison of ablation experiment results. by Xiaojun Wang (50332)

    Published 2025
    “…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”
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  16. 1776
    Flowchart of BWEMFO.

    Flowchart of BWEMFO. by Jingjing Ma (419752)

    Published 2025
    “…Hence, this paper introduces a novel enhanced MFO algorithm (BWEMFO) designed to improve algorithmic performance. …”
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  17. 1777
    Various MFOs from three mechanisms.

    Various MFOs from three mechanisms. by Jingjing Ma (419752)

    Published 2025
    “…Hence, this paper introduces a novel enhanced MFO algorithm (BWEMFO) designed to improve algorithmic performance. …”
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  18. 1778
    The flowchart of MFO.

    The flowchart of MFO. by Jingjing Ma (419752)

    Published 2025
    “…Hence, this paper introduces a novel enhanced MFO algorithm (BWEMFO) designed to improve algorithmic performance. …”
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  19. 1779
    Parameters.

    Parameters. by Jingjing Ma (419752)

    Published 2025
    “…Hence, this paper introduces a novel enhanced MFO algorithm (BWEMFO) designed to improve algorithmic performance. …”
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  20. 1780
    Enhanced efficiency and quality in wind turbine gearbox assembly: a new parallel assembly sequence planning (PASP) model

    Enhanced efficiency and quality in wind turbine gearbox assembly: a new parallel assembly sequence planning (PASP) model by Sydney Mutale (20359077)

    Published 2024
    “…Additionally, we introduce a particle swarm-bacteria foraging optimisation (PSBFO) algorithm that integrates the global search capability of particle swarm optimisation (PSO) with the local optimisation strengths of bacteria foraging optimisation (BFO). …”
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