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function optimization » reaction optimization (Expand Search), formulation optimization (Expand Search), generation optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
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Showing 1 - 6 results of 6 for search '(( lines based codon optimization algorithm ) OR ( binary major function optimization algorithm ))*', query time: 0.51s Refine Results
  1. 1
    Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification

    Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

    Published 2024
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  2. 2
    QA vs GA for 10 full-length proteins.

    QA vs GA for 10 full-length proteins. by Dillion M. Fox (4043159)

    Published 2021
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  3. 3
    Eigenvalues measured by QA vs GA scores.

    Eigenvalues measured by QA vs GA scores. by Dillion M. Fox (4043159)

    Published 2021
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  4. 4
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
    Subjects: “…differential evolution algorithm…”
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  5. 5
    QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm

    QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm by Z.Y. Algamal (5547620)

    Published 2020
    “…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …”
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  6. 6
    Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods

    Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods by Jiacong Du (12035845)

    Published 2022
    “…Building on existing work, we (i) derive and implement efficient cyclic coordinate descent and majorization-minimization optimization algorithms for continuous and binary outcome data, (ii) incorporate adaptive shrinkage penalties, (iii) compare these methods through simulation, and (iv) develop an R package <i>miselect</i>. …”
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