بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
task design » based design (توسيع البحث)
primary aim » primary care (توسيع البحث), primary data (توسيع البحث)
aim based » ai based (توسيع البحث), bim based (توسيع البحث), aom based (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
task design » based design (توسيع البحث)
primary aim » primary care (توسيع البحث), primary data (توسيع البحث)
aim based » ai based (توسيع البحث), bim based (توسيع البحث), aom based (توسيع البحث)
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Routing policy based on path satisfaction.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
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Proposed Algorithm.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"
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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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Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"
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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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Flowchart of simple ant colony algorithm.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
منشور في 2019"…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …"
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Business priorities.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
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Topology of 14-node communication network.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
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Changes of risk value under different parameters.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
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Performance of active and standby paths.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"