Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
using functions » using functional (Expand Search), lung functions (Expand Search), side functions (Expand Search)
python function » protein function (Expand Search)
algorithm co » algorithm cl (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
co function » cost function (Expand Search), cep function (Expand Search), _ function (Expand Search)
Showing 141 - 160 results of 13,261 for search '(((( algorithm using functions ) OR ( algorithm co function ))) OR ( algorithm python function ))', query time: 0.42s Refine Results
  1. 141
    SARS-CoV-2—human protein complex map showing complexes identified by Super.Complex.

    SARS-CoV-2—human protein complex map showing complexes identified by Super.Complex. by Meghana Venkata Palukuri (11890672)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  2. 142
    Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.

    Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. by Yang Cao (53545)

    Published 2024
    “…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.…”
    Save to List
    Saved in:
  3. 143
    Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.

    Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100. by Yang Cao (53545)

    Published 2024
    “…<p>Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.…”
    Save to List
    Saved in:
  4. 144
    Construction of weighted co-expression network related datasets and identification of related key modules.

    Construction of weighted co-expression network related datasets and identification of related key modules. by Wenlong Kuang (20485167)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  5. 145
    Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions.

    Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

    Published 2021
    Save to List
    Saved in:
  6. 146
    SP results of algorithms in the CEC 2009 test functions.

    SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

    Published 2025
    Save to List
    Saved in:
  7. 147
    MS results of algorithms in the CEC 2009 test functions.

    MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

    Published 2025
    Save to List
    Saved in:
  8. 148
    Code and data.

    Code and data. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  9. 149
    The membrane metamaterial structure.

    The membrane metamaterial structure. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  10. 150
    Optimization process of the DGN method.

    Optimization process of the DGN method. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  11. 151
    The material characteristics of the mass block.

    The material characteristics of the mass block. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  12. 152
    The process of the optimization (NSGA-Ⅱ).

    The process of the optimization (NSGA-Ⅱ). by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  13. 153
    The process of the optimization (NSGA-Ⅱ+ NLPQL).

    The process of the optimization (NSGA-Ⅱ+ NLPQL). by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  14. 154
    The TL of the metamaterial.

    The TL of the metamaterial. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  15. 155
    The nine structural parameters as design factors.

    The nine structural parameters as design factors. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  16. 156
    The material characteristics of the components.

    The material characteristics of the components. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  17. 157
    The process of the optimization (NSGA-Ⅱ).

    The process of the optimization (NSGA-Ⅱ). by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  18. 158
    The TL of the perforated membrane metamaterial.

    The TL of the perforated membrane metamaterial. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  19. 159
    The process of the optimization (MIGA).

    The process of the optimization (MIGA). by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:
  20. 160
    The effect of each parameter on the peak value.

    The effect of each parameter on the peak value. by Shangyang Jin (21772466)

    Published 2025
    “…<div><p>The convergence of algorithms is an unavoidable problem when using global optimization algorithms to optimize acoustic properties of metamaterials. …”
    Save to List
    Saved in:

Search Tools: