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Showing 1 - 20 results of 40 for search '(( binary based proteins optimization algorithm ) OR ( primary data swarm optimization algorithm ))', query time: 0.69s Refine Results
  1. 1
    Iterative optimization convergence curve of each algorithm.

    Iterative optimization convergence curve of each algorithm. by Guangwei Liu (181992)

    Published 2023
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  2. 2
    The optimization results of each algorithm for the 8 benchmark functions.

    The optimization results of each algorithm for the 8 benchmark functions. by Guangwei Liu (181992)

    Published 2023
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  3. 3
    Optimal results of the different algorithms on the speed design reducer problem.

    Optimal results of the different algorithms on the speed design reducer problem. by Guangwei Liu (181992)

    Published 2023
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  4. 4
    Optimal results of the different algorithms on the pressure vessel design problem.

    Optimal results of the different algorithms on the pressure vessel design problem. by Guangwei Liu (181992)

    Published 2023
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  5. 5
    Optimal results of the different algorithms on the gear train design problem.

    Optimal results of the different algorithms on the gear train design problem. by Guangwei Liu (181992)

    Published 2023
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  6. 6
    The optimization results of each algorithm for the CEC2019 benchmark functions.

    The optimization results of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

    Published 2023
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  7. 7
    Optimal results of the different algorithms on the tension/compression spring design problem.

    Optimal results of the different algorithms on the tension/compression spring design problem. by Guangwei Liu (181992)

    Published 2023
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  8. 8
    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx

    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)

    Published 2023
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  9. 9
    S1 Data -

    S1 Data - by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  10. 10
    Curve of step response signal of 6 algorithms.

    Curve of step response signal of 6 algorithms. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  11. 11
    Data Sheet 1_AI-driven optimization of dynamic vibration absorbers with hydraulic amplifier and mechanical inerter integration.pdf

    Data Sheet 1_AI-driven optimization of dynamic vibration absorbers with hydraulic amplifier and mechanical inerter integration.pdf by Ahmed Shamseldin (19759437)

    Published 2024
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  12. 12
    Wilcoxon’s rank sum test results.

    Wilcoxon’s rank sum test results. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  13. 13
    Flowchart of MSHHOTSA.

    Flowchart of MSHHOTSA. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  14. 14
    Tension/compression spring design problem.

    Tension/compression spring design problem. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  15. 15
    Speed reducer design problem.

    Speed reducer design problem. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  16. 16
    Flowchart of TSA [43].

    Flowchart of TSA [43]. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  17. 17
    Pressure vessel design problem.

    Pressure vessel design problem. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  18. 18
    Gear train design problem.

    Gear train design problem. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  19. 19
    The proportion integral derivative controller.

    The proportion integral derivative controller. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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  20. 20
    Random parameter factor.

    Random parameter factor. by Guangwei Liu (181992)

    Published 2023
    “…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …”
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