Search alternatives:
codon optimization » wolf optimization (Expand Search)
from optimization » fox optimization (Expand Search), swarm optimization (Expand Search), after optimization (Expand Search)
binary 3 » binary _ (Expand Search), binary b (Expand Search)
3 from » s3 from (Expand Search), 1 from (Expand Search), 2 from (Expand Search)
codon optimization » wolf optimization (Expand Search)
from optimization » fox optimization (Expand Search), swarm optimization (Expand Search), after optimization (Expand Search)
binary 3 » binary _ (Expand Search), binary b (Expand Search)
3 from » s3 from (Expand Search), 1 from (Expand Search), 2 from (Expand Search)
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”
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Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization
Published 2025“…By integrating Latent Encoder Coupled Generative Adversarial Network (LEGAN) optimized with Binary Emperor Penguin optimizer (BEPO), the scheme enhances routing efficiency and security. …”
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Pressure-Stabilized Zinc Trifluoride
Published 2020“…By combining the particle swarm optimization algorithm with first-principles calculation, the high-pressure phase diagram of Zn–F binary compounds was established. …”
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Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…Additionally, the results obtained from our new ILP model indicate that our genetic algorithm results are very close to the optimal values.…”
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Parameter settings.
Published 2024“…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. It has proven its efficacy in tackling diverse problems across various fields and real-world applications. …”
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
Published 2019“…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …”
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Programs to evaluate superoptimizer STOKE.
Published 2022“…The searching algorithm of STOKE is not always able to find programs that are at least as efficient as programs optimized by gcc -O3. …”