Search alternatives:
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
step optimization » after optimization (Expand Search), swarm optimization (Expand Search), based optimization (Expand Search)
data processing » image processing (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data step » data set (Expand Search)
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
step optimization » after optimization (Expand Search), swarm optimization (Expand Search), based optimization (Expand Search)
data processing » image processing (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data step » data set (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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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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IRBMO vs. meta-heuristic algorithms boxplot.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”