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  1. 1
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Anonymous authors (for blind review purpose) (6473313)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
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  2. 2
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Anonymous authors (for blind review purpose) (6473313)

    Published 2021
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
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  3. 3
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Jiaxuan Shi (7455707)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
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  4. 4
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Jiaxuan Shi (7455707)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
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  5. 5
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Jiaxuan Shi (7455707)

    Published 2020
    “…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”
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  6. 6
    Optimization of image processing algorithms.

    Optimization of image processing algorithms. by Honghai Kuang (14883375)

    Published 2023
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  7. 7
    Convergence curve of real power transmission line loss minimization by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curve of real power transmission line loss minimization by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  8. 8
    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  9. 9
    Learning to Optimize Molecular Geometries Using Reinforcement Learning

    Learning to Optimize Molecular Geometries Using Reinforcement Learning by Kabir Ahuja (10010761)

    Published 2021
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  10. 10
    Visual Clustering Results of Algorithms on Four Lines Dataset.

    Visual Clustering Results of Algorithms on Four Lines Dataset. by Wei Xingqiong (21492703)

    Published 2025
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  11. 11
    Overall rankings of optimization algorithms.

    Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

    Published 2024
    “…Brown dots represent the ranks achieved by the algorithms in each use case; boxes indicate the full range and the orange line represents the median of these ranks. …”
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  12. 12
    TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation.

    TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation. by Xiaorui Wu (8322705)

    Published 2024
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  13. 13
    Configuration of the CRH3 train used in China.

    Configuration of the CRH3 train used in China. by Dapeng Wang (250459)

    Published 2023
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  14. 14
    Comparison of optimization algorithms and their robustness to noise.

    Comparison of optimization algorithms and their robustness to noise. by Will Xiao (8975351)

    Published 2020
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  15. 15
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
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  16. 16
    Contour lines of GDOP of five BSs using DBSS5.

    Contour lines of GDOP of five BSs using DBSS5. by Sheng Miao (14248110)

    Published 2022
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  17. 17
    Contour lines of GDOP of four BSs using DBSS4.

    Contour lines of GDOP of four BSs using DBSS4. by Sheng Miao (14248110)

    Published 2022
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  18. 18
    Overall rankings of single-objective optimization algorithms.

    Overall rankings of single-objective optimization algorithms. by Máté Mohácsi (20469514)

    Published 2024
    “…Brown dots represent the ranks achieved by the algorithms in each use case; boxes indicate the full range and the orange line represents the median of these ranks. …”
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  19. 19
    Example of non-optimal behaviour of the Greedy algorithm.

    Example of non-optimal behaviour of the Greedy algorithm. by Henriette Heer (9541510)

    Published 2020
    “…(b) Network with two links selected using the Greedy algorithm and clustering coefficient . …”
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  20. 20
    The comparison of different optimization models.

    The comparison of different optimization models. by Jiefei Zhang (8787494)

    Published 2023
    Subjects:
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