Search alternatives:
scale optimization » whale optimization (Expand Search), swarm optimization (Expand Search), phase optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
binary large » binary image (Expand Search), binary edge (Expand Search)
binary last » binary mask (Expand Search), binary plddt (Expand Search)
last model » fast model (Expand Search), lasso model (Expand Search), rat model (Expand Search)
scale optimization » whale optimization (Expand Search), swarm optimization (Expand Search), phase optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
binary large » binary image (Expand Search), binary edge (Expand Search)
binary last » binary mask (Expand Search), binary plddt (Expand Search)
last model » fast model (Expand Search), lasso model (Expand Search), rat model (Expand Search)
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Datasets and their properties.
Published 2023“…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …”
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Parameter settings.
Published 2023“…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …”
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Unraveling Adsorbate-Induced Structural Evolution of Iron Carbide Nanoparticles
Published 2025“…For this purpose, we have developed a general procedure that we use to model an experimentally relevant 270-atom Fe<sub>182</sub>C<sub>88</sub> NP using the neural network-assisted stochastic surface walk global optimization algorithm (SSW-NN). …”
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An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach
Published 2025“…Binary classification models were developed to classify cases into two groups: those transferring two or fewer embryos and those transferring three or four. …”