Search alternatives:
process optimization » model optimization (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
edge process » due process (Expand Search), edge processing (Expand Search), peace process (Expand Search)
final model » animal model (Expand Search)
binary edge » binary image (Expand Search)
process optimization » model optimization (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
edge process » due process (Expand Search), edge processing (Expand Search), peace process (Expand Search)
final model » animal model (Expand Search)
binary edge » binary image (Expand Search)
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21
The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
Published 2025Subjects: -
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CDF of task latency, approximated as the inverse of the achieved computation rate.
Published 2025Subjects: -
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I-NSGA-II-RF algorithm.
Published 2023“…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …”
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The pareto front obtained by each algorithm.
Published 2023“…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …”
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The speciation of ANEAT model evolution.
Published 2025“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”
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The fitness of ANEAT model evolution.
Published 2025“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”
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The fitness of NANEAT model evolution.
Published 2025“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”
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35
The speciation of NANEAT model evolution.
Published 2025“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”
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The genome coding scheme.
Published 2025“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”
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40