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algorithm growth » algorithm both (Expand Search), algorithm flow (Expand Search), algorithm shows (Expand Search)
algorithm three » algorithm where (Expand Search)
growth function » growth direction (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
algorithm pre » algorithm where (Expand Search), algorithm used (Expand Search), algorithm from (Expand Search)
pre function » spread function (Expand Search), sphere function (Expand Search), phase function (Expand Search)
algorithm growth » algorithm both (Expand Search), algorithm flow (Expand Search), algorithm shows (Expand Search)
algorithm three » algorithm where (Expand Search)
growth function » growth direction (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
algorithm pre » algorithm where (Expand Search), algorithm used (Expand Search), algorithm from (Expand Search)
pre function » spread function (Expand Search), sphere function (Expand Search), phase function (Expand Search)
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Average function evaluation times of the three optimization algorithms.
Published 2025“…<p>Average function evaluation times of the three optimization algorithms.…”
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Prediction performance of different optimization algorithms.
Published 2021“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”
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Comparison of deconvolution and optimization algorithms on a batch of data.
Published 2021“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”
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Algorithm and simulation parameters.
Published 2024“…The approach is as follows: we use a Quality-Diversity algorithm, a type of black-box optimization algorithm, to explore the range of concentration profiles emerging as solutions of a molecular model, and that define growth patterns for the mechanical model. …”
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<i>OptRAM</i>: <i>In-silico</i> strain design via integrative regulatory-metabolic network modeling
Published 2019Subjects: -
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