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design optimization » bayesian optimization (Expand Search)
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design optimization » bayesian optimization (Expand Search)
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
binary task » binary mask (Expand Search)
task design » based design (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset.
Published 2022Subjects: -
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Boxplots analysis of the tested algorithms using average error rate across 21 datasets.
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”
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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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IRBMO vs. meta-heuristic algorithms boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”
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IRBMO vs. feature selection algorithm boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”