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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm shows » algorithm allows (Expand Search), algorithm flow (Expand Search)
python function » protein function (Expand Search)
shows function » loss function (Expand Search)
algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
i function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Supplementary file 1_Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules.docx
Published 2025“…In addition, the proposed objective function is computed based on the current–voltage (I–V) characteristic curve. …”
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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic
Published 2019“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy
Published 2021“…We demonstrate that our new algorithms show improved performance in modeling flexible binding site residues compared to DOCK. …”
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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy
Published 2021“…We demonstrate that our new algorithms show improved performance in modeling flexible binding site residues compared to DOCK. …”
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The <i>FSIM</i> results for all algorithms.
Published 2023“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”
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The <i>SSIM</i> results for all algorithms.
Published 2023“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”
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The <i>PSNR</i> results for all algorithms.
Published 2023“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”
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Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs.
Published 2023“…<p>Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs.…”
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The average convergence curve of the algorithm under different calculation examples ((1)-(28) correspond to functions <i>f1</i>-<i>f28</i> respectively).
Published 2022“…<p>The average convergence curve of the algorithm under different calculation examples ((1)-(28) correspond to functions <i>f1</i>-<i>f28</i> respectively).…”
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