Showing 1 - 20 results of 11,028 for search '(((( algorithm from function ) OR ( algorithm its function ))) OR ( algorithm both function ))', query time: 0.75s Refine Results
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    CEC2017 basic functions. by Tengfei Ma (597633)

    Published 2025
    “…The optimal individual’s position is updated by randomly selecting from these factors, enhancing the algorithm’s ability to attain the global optimum and increasing its overall robustness. …”
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    CEC2017 test function test results. by Tengfei Ma (597633)

    Published 2025
    “…The optimal individual’s position is updated by randomly selecting from these factors, enhancing the algorithm’s ability to attain the global optimum and increasing its overall robustness. …”
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    Statistical results of various algorithms. by ZeSheng Lin (20501356)

    Published 2025
    “…Finally, a novel Levy flight was implemented to promote the diversity of whale distribution. Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …”
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    Iteration curves of different algorithms. by Tengfei Ma (597633)

    Published 2025
    “…The optimal individual’s position is updated by randomly selecting from these factors, enhancing the algorithm’s ability to attain the global optimum and increasing its overall robustness. …”
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    Flowchart of OP-ZOA algorithm. by Tengfei Ma (597633)

    Published 2025
    “…The optimal individual’s position is updated by randomly selecting from these factors, enhancing the algorithm’s ability to attain the global optimum and increasing its overall robustness. …”
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    Images of partial benchmark functions. by ZeSheng Lin (20501356)

    Published 2025
    “…Finally, a novel Levy flight was implemented to promote the diversity of whale distribution. Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …”
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    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

    Published 2024
    “…Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”
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    Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

    Published 2019
    “…To address this limitation, we exercise a multi-scale extension of a common community detection technique, and we apply the tool to synthetic graphs and to graphs derived from human neuroimaging data, including structural and functional imaging data. …”
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    Power consumption for SHA256 software algorithm. by Maytham S. Jabor (15853046)

    Published 2023
    “…When simulating both approaches, the energy consumed when replacing functions by hardware decreases up to 63%.…”
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    Dynamical comparison between Drosha and Dicer reveals functional motion similarities and dissimilarities by Rotem Aharoni (8108177)

    Published 2019
    “…The slowest mode of Drosha is different from that of Dicer due to its more bended posture and allow the motion of the double-stranded RNA-binding domain toward and away from its substrate. …”
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    The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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    The IALO algorithm solution flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

    Published 2023
    “…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”
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    Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

    Published 2019
    “…The availability of quantitative target profiles, from genetic perturbations or from clinical phenotypes, provides additional information that can be leveraged to improve the identification of cancer related gene sets by discovering groups with complementary functional associations with such targets. …”
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    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

    Published 2025
    “…We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …”