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Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [23].
Published 2020“…<p>Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0222733#pone.0222733.ref023" target="_blank">23</a>].…”
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Training test results of different algorithms on natural scene exposure dataset.
Published 2024Subjects: -
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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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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data
Published 2019“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”
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Supplementary file 1_Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules.docx
Published 2025“…The goal is to identify the parameters of the single-diode (SD), double-diode (DD), and triple-diode (TD) models. In addition, the proposed objective function is computed based on the current–voltage (I–V) characteristic curve. …”
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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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