بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث), bayesian optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
task design » tank designs (توسيع البحث), case design (توسيع البحث), based design (توسيع البحث)
task based » risk based (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث), bayesian optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
task design » tank designs (توسيع البحث), case design (توسيع البحث), based design (توسيع البحث)
task based » risk based (توسيع البحث)
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Proposed Algorithm.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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3
The Pseudo-Code of the IRBMO Algorithm.
منشور في 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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4
IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 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.
منشور في 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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An Example of a WPT-MEC Network.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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13
Related Work Summary.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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14
Simulation parameters.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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15
Training losses for N = 10.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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Normalized computation rate for N = 10.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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Summary of Notations Used in this paper.
منشور في 2025"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"
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18
Pseudo Code of RBMO.
منشور في 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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19
P-value on CEC-2017(Dim = 30).
منشور في 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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Memory storage behavior.
منشور في 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. …"