Search alternatives:
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
process simulation » process optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
search process » research process (Expand Search), hierarchy process (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
process simulation » process optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
search process » research process (Expand Search), hierarchy process (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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Thesis-RAMIS-Figs_Slides
Published 2024“…In this direction, the option of estimating the statistics of the model directly from the training image (performing a refined pattern search instead of simulating data) is a very promising.…”