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process optimization » model optimization (Expand Search)
data optimization » path optimization (Expand Search), dose optimization (Expand Search), art optimization (Expand Search)
phase process » phase proteins (Expand Search), whole process (Expand Search), phase protein (Expand Search)
binary phase » binary image (Expand Search), final phase (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data data » dna data (Expand Search), meta data (Expand Search)
process optimization » model optimization (Expand Search)
data optimization » path optimization (Expand Search), dose optimization (Expand Search), art optimization (Expand Search)
phase process » phase proteins (Expand Search), whole process (Expand Search), phase protein (Expand Search)
binary phase » binary image (Expand Search), final phase (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data data » dna data (Expand Search), meta data (Expand Search)
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a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset.
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Boxplots analysis of the tested algorithms using average error rate across 21 datasets.
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Mean fitness and standard deviation results of compared approaches on CEC2019 benchmark functions.
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The result of the Wilcoxon test of presented COFFO against compared methods.
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