بدائل البحث:
property optimization » process optimization (توسيع البحث), policy optimization (توسيع البحث), robust optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
task design » based design (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
property optimization » process optimization (توسيع البحث), policy optimization (توسيع البحث), robust optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
task design » based design (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
منشور في 2020"…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …"
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
منشور في 2020"…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …"
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
منشور في 2020"…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …"
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025الموضوعات: -
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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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Performance on GradEva.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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The considered test problems.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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Performance on FunEva.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"