Search alternatives:
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data feature » data figure (Expand Search), each feature (Expand Search), a feature (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
also model » lasso model (Expand Search)
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data feature » data figure (Expand Search), each feature (Expand Search), a feature (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
also model » lasso model (Expand Search)
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Mean fitness and standard deviation results of compared approaches on CEC2019 benchmark functions.
Published 2022Subjects: -
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The result of the Wilcoxon test of presented COFFO against compared methods.
Published 2022Subjects: -
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Convergence graphs for ten CEC 2019 benchmark functions and direct comparison between COFFO and FFO.
Published 2022Subjects: -
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Parameter settings of the comparison algorithms.
Published 2024“…In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …”
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Medium-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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Large-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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Small-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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Comparison in terms of the selected features.
Published 2024“…In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …”
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