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limitations algorithms » optimization algorithms (Expand Search), indication algorithms (Expand Search)
resource limitations » resource utilization (Expand Search)
based optimization » whale optimization (Expand Search)
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1
Proposed Algorithm.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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2
Comparisons between ADAM and NADAM optimizers.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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3
An Example of a WPT-MEC Network.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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4
Related Work Summary.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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5
Simulation parameters.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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6
Training losses for N = 10.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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7
Normalized computation rate for N = 10.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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8
Summary of Notations Used in this paper.
Published 2025“…However, MDs are often constrained by limited energy and computational resources, which are insufficient to handle the high number of tasks. …”
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13
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. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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14
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. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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15
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. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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Pseudo Code of RBMO.
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. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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20
P-value on CEC-2017(Dim = 30).
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. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”