Search alternatives:
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
based optimization » whale optimization (Expand Search)
single based » single baited (Expand Search), single case (Expand Search), single handed (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
binary task » binary mask (Expand Search)
task based » risk based (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
based optimization » whale optimization (Expand Search)
single based » single baited (Expand Search), single case (Expand Search), single handed (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
binary task » binary mask (Expand Search)
task based » risk based (Expand Search)
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Flowchart of whale flock optimization algorithm.
Published 2024“…<i>camphora</i> growth was established using the multiple linear regression (MLR), partial least squares (PLS), support vector regression (SVR), random forest (RF), radial basis function neural network (RBFNN), back propagation neural network (BPNN), and whale optimization algorithm (WOA)-optimized BPNN models. …”
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Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Time(s) and GFLOPs savings of single-agent tasks.
Published 2025“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”
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Scores vs Skip ratios on single-agent task.
Published 2025“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”
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Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Single agent and multi-agents tasks for <i>LazyAct</i>.
Published 2025“…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …”
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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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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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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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More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods...
Published 2025“…This work reports efforts to significantly improve a recent approach to local MP2 that is based on a single numerical threshold to control accuracy versus compute cost, and the use of localized orthogonal orbitals for both occupied and virtual spaces. …”
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More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods...
Published 2025“…This work reports efforts to significantly improve a recent approach to local MP2 that is based on a single numerical threshold to control accuracy versus compute cost, and the use of localized orthogonal orbitals for both occupied and virtual spaces. …”